HomeMy WebLinkAboutAnalytic Insight Proposal - EQUITY INDICATORS AND GAPS ANALYSIS
Submitted by:
Analytic Insight
478 Sabattus St.
Lewiston, ME 04240
(207) 221-3125
amy@analyticinsight.org
EQUITY INDICATORS
AND GAP ANALYSIS
FOR THE CITY OF BOZEMAN
Equity Indicators and Gap Analysis for the City of Bozeman
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TABLE OF CONTENTS
A. TITLE PAGE ...................................................................................................................................................... 1
B. EXECUTIVE SUMMARY .................................................................................................................................... 2
C. FIRM PROFILE AND PROJECT PERSONNEL .......................................................................................................... 3
LOCATION, NUMBER OF EMPLOYEES AND OWNERSHIP ................................................................................................ 3
THE FIRM’S HISTORY ........................................................................................................................................... 4
BRIEF RESUMES ................................................................................................................................................. 5
AMY FLOWERS, PHD ....................................................................................................................................... 5
LESLIE OGILVIE, MPA ...................................................................................................................................... 6
ALISA RAYMOND, MPA ................................................................................................................................... 7
JOSHUA FLOWERS ............................................................................................................................................... 8
PRIMARY CONTACT INFORMATION .......................................................................................................................... 9
D. EXPERIENCE ..................................................................................................................................................... 10
EXPERIENCE COLLECTING DATA TO ADVANCE EQUITY ................................................................................................ 10
FIRM’S APPROACH TO ETHICAL DATA GOVERNANCE.................................................................................................. 12
FIRM’S APPROACH TO CONDUCTING INCLUSIVE PUBLIC ENGAGEMENT ........................................................................... 13
EXPERIENCE IN PERFORMING GAP ANALYSIS ............................................................................................................ 14
DEMONSTRATING EQUITY, DIVERSITY AND INCLUSION IN OUR WORK ............................................................................ 21
EXPERIENCING CRAFTING ENGAGING AND VISUAL REPRESENTATIONS OF DATA ................................................................ 22
E. SCOPE OF PROPOSAL ....................................................................................................................................... 23
DETAILED NARRATIVE OF THE SERVICES PROPOSED ................................................................................................... 23
METHODS AND TECHNICAL TOOLS TO REACH AND INCLUDE COMMUNITY MEMBERS ......................................................... 35
METHODS AND TIMELINE OF COMMUNICATION WITH THE PROJECT MANAGER AND OTHER PARTIES ..................................... 35
SCHEDULE FOR COMPLETING TASKS ...................................................................................................................... 36
SOFTWARE AND OTHER ANALYSIS TOOLS................................................................................................................ 38
SUBCONTRACTED WORK .................................................................................................................................... 38
F. BUDGET............................................................................................................................................................ 39
ESTIMATED HOURS BY TASK................................................................................................................................ 39
COST BY TASK .................................................................................................................................................. 40
SCHEDULE OF RATES.......................................................................................................................................... 40
DIRECT COSTS ................................................................................................................................................. 40
G. REFERENCES .................................................................................................................................................... 41
H. AFFIRMATION OF NONDISCRIMINATION (APPENDIX A) .................................................................................. 42
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A. TITLE PAGE
Name of Firm: Analytic Insight
Address: 478 Sabattus Street
Lewiston, ME 04240
Contact: Amy Flowers, PhD
President
Telephone Number: (207) 221-3125
Email Address: amy@analyticinsight.org
Signature of Authorized Representative:
Analytic Insight (AI) is pleased to submit our proposal to work with the City of Bozeman on a
community-wide data collection process on how race, ethnicity and gender identity affect people’s
ability to thrive in the Bozeman area. AI (www.analyticinsight.org) is a woman-owned small business
that has provided needs assessments, public opinion research, strategic planning, and program
evaluations since 2007. Our mission is to provide accurate, innovative and exemplary research.
AI is well-versed in all aspects of data collection, qualitative and quantitative data analysis and reporting.
AI has conducted numerous large and complex projects like the City’s need for equity indicators and gap
analysis. AI recently conducted the Business Opportunity and Equity Study for the City of Denver, an
examination of the equity, diversity and inclusion present in the city’s cannabis industry. We are
currently working with the Colorado Department of Human Services to assess the Department’s assets,
culture, processes and procedures through an EDI lens (Equity, Diversity and Inclusion).
In this proposal, we express our firm commitment to providing the City with a nuanced understanding of
the department’s assets culture, processes and procedures through an EDI lens. On behalf of all of us at
Analytic Insight, thank you for the opportunity to present our proposal and we look forward to hearing
from you soon.
Sincerely,
Amy Flowers, PhD
President
Analytic Insight
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B. EXECUTIVE SUMMARY
AI understands the purpose of this study is to better understand how Bozeman residents experience the
community as correlated to their identities, as well as how identity and life circumstances impact a
person’s ability to thrive in Bozeman. The City also wants to understand the capacity for Bozeman
institutions and community organizations to address the inequities uncovered through a gap analysis.
We understand that the City seeks to collect community-wide data along various indicators such as
mental health, educational attainment, employment, income, housing affordability, criminal justice,
access to City services, current infrastructure gaps and more. AI will use a mixed-methods approach to
collect this data and provide the City with a comprehensive community equity assessment and gap
analysis report that includes recommendations for addressing gaps in services. AI will develop a list of
equity indicators for the City to track progress over time.
AI will be committed to extensive community engagement throughout the process. AI offers numerous
opportunities for inclusive engagement with the project team and key stakeholders, as well as Bozeman
community members which are detailed in this proposal.
AI has developed a methodological approach to collect rich, meaningful data. The City will benefit from
several unique qualities of our approach:
❖ Focus on What Matters: Our assessment is grounded in an initial meeting with the City and
regular, ongoing communications with the City project team to ensure that every step of the
assessment is guided by the needs and research questions of the City. This brings a practicality
to the research design and the results, enabling AI to provide clear and practical
recommendations that help build support and strengthen policy, program and service
recommendations.
❖ Constituent Voice: Our plan is to engage the public through a dedicated, interactive website
that will offer updates on the planning process, information on best practices, links to
community participation opportunities, thoughtful discussion questions for respondents to
answer and scroll through the anonymous (moderated) responses of other community
members, as well as access to the community survey.
❖ An Asset to the City: Our experience includes collecting data to advance equity in several
communities, as well as performing gap analysis and providing recommendation for
communities to address the needs revealed. Our study is designed to improve and enhance the
relationships between the City, key stakeholders and Bozeman community members. We hope
to open the door to future collaboration addressing the areas for improvement, acknowledging
the gaps, and implementing policies and programs that address the needs uncovered.
❖ Data Visualization and Reporting: Mixed-methods research that combines quantitative and
qualitative requires skill in interpreting and visualizing the results. Our state-of-the-art graphics
include word clouds and word trees, as well as quantitative assessments to enhance the visual
appeal of the report and increase nuanced understanding of the data. We have included several
examples throughout this proposal to demonstrate our skill and provide an example of the type
of work product the City can look forward to if AI is selected for this project.
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C. FIRM PROFILE AND PROJECT PERSONNEL
LOCATION, NUMBER OF EMPLOYEES AND OWNERSHIP
Analytic Insight (www.analyticinsight.org) is a full-service research firm located in Lewiston, Maine since
2007. We are a HUBZone-certified, economically disadvantaged, woman-owned small business that
provides public opinion research, strategic planning, needs assessments and program evaluations. Our
DBE status is pending and is expected to be active at the time this contract would be awarded. Analytic
Insight (AI) was founded by Dr. Amy Flowers, sole principle and owner of the company.
AI’s seasoned research team is experienced in comprehensive needs assessments, program evaluation,
survey and sampling design, as well as in the methods of qualitative interviewing and strategic planning,
sophisticated data analysis, graphics production and reporting. Our organizational capacity exceeds that
required for this project and our coordinated, collaborative approach ensures that no milestones or
deliverables will be dependent on a single individual.
Dr. Flowers will serve as project manager for this project and is skilled in both quantitative and
qualitative methodologies and analysis. She is certified in qualitative interviewing techniques by the
RIVA institute, the gold-standard in interviewer training, and is skilled in the use of NVIVO software for
qualitative data analysis. Dr. Flowers has a BA from the University of California at Berkeley and earned
her PhD at the University of Southern California in sociology.
In addition to Dr. Flowers, our staff includes five professional staff, and several part-time interviewers
and administrative assistants. For this project, our core team will include Ms. Leslie Ogilvie and Ms. Alisa
Raymond. Ms. Ogilvie brings a Master’s in Public Administration and experience in all phases of the
research. Ms. Raymond also brings a Master’s in Public Administration, with an emphasis on public
health policy. Ms. Ogilvie and Ms. Raymond will assist Dr. Flowers on all aspects of the project and are
responsible for managing additional AI staff who will support the team with data collection and analysis.
ORGANIZATIONAL CHART
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THE FIRM’S HISTORY
Analytic Insight (AI) brings extensive experience in conducting needs assessments of both general
populations and vulnerable, hard-to-reach populations. We have a proven track record of successfully
identifying gaps, barriers and needs in a variety of settings. To provide comprehensive assessments that
guarantees the collection of both quantitative and qualitative data, AI generally uses a mixed-
methodology approach, like the one offered in this proposal. AI is well-versed in all aspects of data
collection, qualitative and quantitative data analysis and reporting.
AI is located in the state of Maine where the quality of life is high, and the cost of living is low. This
enables us to provide the City with exemplary customer service and client relations, as well as efficient,
innovative and responsible work products at a very low cost. Our national experience provides a high
level of expertise in questionnaire development, while our grounded objective approach ensures that
the project is based on the local experience of Bozeman residents and stakeholders. Our position as
outsiders allows us to provide the City with objective and unbiased results.
Most of AI’s work is at the state and community level, where we take a project from the planning of a
proposal to the presentation of results. AI prides itself on our ability to build partnerships with the local
community to support our research projects. Our use of participatory action research techniques
ensures that we engage relevant stakeholders throughout the research process. By establishing
relationships and securing community buy-in from the start, our clients are able to build on those
relationships for strategy implementation and other needed investments to mitigate inequities into the
future. AI’s ability to work collaboratively with a variety of essential partners and community
stakeholders will bring exceptional value to the City.
AI’s current workload will not affect our ability to do this project. Our organizational capacity exceeds
that required for the project, and our coordinated, collaborative approach ensures that no milestones or
deliverables will be dependent on a single individual. To ensure that each deliverable is consistent with
the timeline, AI has weekly meetings to check on the status and progress.
AI will not use any subcontractors on this project.
“Their position as outsiders enabled Analytic Insight to be
objective, but informed. Analytic Insight was
knowledgeable about the subject matter without being
part of the internal politics and provided an external,
neutral perspective.”
-Santa Clara Project Manager
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BRIEF RESUMES
AMY FLOWERS, PHD
President of AI and Project Manager
Dedicated to the issues of public health and social justice,
Amy Flowers founded Analytic Insight in 2007 to help
organizations make evidence-based decisions and develop
more resilient, equitable and livable communities.
Our work at AI is varied and includes efforts to address
disparities in healthcare, housing and homelessness,
alcohol, tobacco and drug use and other social issues. On
each of these topics, Amy is committed to using the
principles of program design, implementation and
evaluation to help create inclusive community processes
that facilitate the inclusion of all community members.
EXPERIENCE
• Analytic Insight, Lewiston, ME, President, 2007-present
• Market Decisions, Portland, ME, Research Manager,
2005-2007
• The Hay Group, Jersey City, NJ, Consultant, 2001-2003
• Godbe Research & Analysis, Half Moon Bay, CA, Senior
Research Analyst, 1999-2001
• California Polytechnic State University, Pomona, CA,
Assistant Professor, 1996-1999
• Mattson & Sherrod Associates, Los Angeles, CA,
Director of Research, 1992-1996
ADDITIONAL QUALIFICATIONS
Dr. Flowers is a skilled speaker and presenter with
invitations to speak at the Centers for Excellence in
Disability Research (CEDR) conference, sponsored jointly
by DHHS and Mathematica, as well as at the National
Home and Community-Based Services Conference
sponsored by the Administration on Aging (AoA) and the
National Association of States United for Aging and
Disabilities (NASUAD).
Dr. Flowers has managed all AI projects detailed in this
proposal.
Qualifications
• Over 20 years of experience in
program evaluation and
research methods
• Projects focused on equity,
diversity and inclusion,
healthcare disparities in access,
experience and outcomes
• Experience evaluating
organizations and systemic
change
Education and Training
• PhD, University of Southern
California, 1995
• MA, University of Southern
California, 1992
• BA, University of California at
Berkeley, 1981
Certifications
• RIVA certification in Focus
Group Moderation, 2008
• Certificate in Race and Gender
in Society, USC 1995
• NIH Information Management
Certificate, 2020
• NIH Information Security
Awareness Certificate, 2020
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LESLIE OGILVIE, MPA
Senior Research Associate
Leslie is dedicated to building resilient and equitable
communities and addressing the needs of vulnerable
populations through data-driven decision making.
Leslie provides innovative assessment and planning services
to local communities nationwide with a focus on
homelessness, housing insecurity and disparities in
healthcare and access to social services. Leslie is committed
to providing effective recommendations that are feasible to
implement and based on the knowledge and expertise of
local stakeholders.
EXPERIENCE
Analytic Insight, Lewiston, ME, Senior Research Associate,
2017-present
Cape Fear Public Utility Authority, Wilmington, NC, Assistant
to the Executive Director, 2015-2017
The Law Offices of Kathleen Shannon Glancy, PA, Certified
Paralegal, 2004-2014
SELECTED WORK
In her work for AI, Leslie specializes in qualitative research,
conducting numerous key informant interviews, as well as
interviews of individuals who have suffered traumatic events
such as homelessness. Leslie completed Human Subjects
Research training from the Collaborative Institutional Training
Initiative (CITI Program) in 2015.
Leslie often assists Dr. Flowers moderating focus groups and
facilitating community forums, documenting key themes and
strategic solutions to develop recommendations that are
feasible to implement and supported by the local community.
Leslie has developed action plans to reduce and end
homelessness for many communities across the United
States including Oklahoma City, Oklahoma, Lexington,
Kentucky, Licking County, Ohio, Santa Clarita, California and
Chattanooga, Tennessee. The projects all included key
informant interviews and planning sessions with service
providers, key stakeholders and people experiencing
homelessness, as well as analysis of secondary data and
literature reviews of best practices used in similar
communities to address disparities and identified needs.
Qualifications
• Over 5 years of experience in
program evaluation and
research methods
• Projects focused on social
equity, homelessness, housing
insecurity and affordable
housing needs, and access to
social services and healthcare
• Experience evaluating equity,
diversity and inclusion
Education and Training
• MPA, University of North
Carolina Wilmington, Public
Administration, 2017
• BA, University of North Carolina
Wilmington, Political Science,
2007
Certifications
• Human Subjects Research
training from the Collaborative
Institutional Training Initiative
(CITI Program)
• NIH Information Management
Certificate, 2020
• NIH Information Security
Awareness Certificate, 2020
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ALISA RAYMOND, MPA
Research Associate
Alisa Raymond serves as the research associate for Analytic
Insight. Her areas of focus include healthcare policy, equity
and disparities, as well as childcare, education and social
service needs.
Prior to her work at Analytic Insight, she worked as a case
manager where she assessed, planned, implemented,
monitored and evaluated actions to meet her 30 client’s
health and human service needs, all while coordinating care
with other health care professionals. In her time there, she
managed several cases of abuse, neglect and restorative
justice. She was trained on how to use a trauma-informed
approach when communicating and working with individuals
who have experienced traumatic events.
EXPERIENCE
Analytic Insight, Lewiston, ME, Research Associate, 2018-
present
SequelCare of Maine, Yarmouth, ME, Children’s Targeted Case
Manager, 2017-2018
Cardiovascular Health Initiative, Inc., Boston, MA, Chief
Operations Officer, 2017-present
Institute for Public Services, Boston, MA, Graduate Research
Fellow, 2016-2018
Suffolk University Language Lab, Boston, MA, Lab
Technician/Office Assistant, 2013-2018
South Shore YMCA, Quincy, MA, Assistant Teacher, 2016-2017
Asian Entrepreneurship Foundation, Boston, MA, Director of
Business Operations, 2015-2017
SELECTED WORK
Alisa heavily assisted Dr. Amy Flowers on the comprehensive
assessment of the health of children, mothers, and families in
Maryland, to fulfill a requirement of the Title V Maternal &
Child Health (MCH) Block Grant. Together with Dr. Flowers,
Alisa co-moderated strategic planning sessions with
stakeholders and co-facilitated public forums. Alisa also took
the lead on the development of the draft Needs Assessment
and Five-Year Action Plan.
Qualifications
• Over 5 years of experience in
program evaluation and
research methods
• Outstanding verbal and written
communication skills;
experience includes a strong
focus on healthcare disparities
in access, experience and
outcomes
• Experience with trauma-
informed care when working
with individuals who have
experienced traumatic events
Education and Training
• MPA, Suffolk University, Public
Health Policy, 2018
• BA, Suffolk University, Biology
and Psychology, 2016
Certifications
• NIH Information Management
Certificate, 2020
• NIH Information Security
Awareness Certificate, 2020
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JOSHUA FLOWERS
Research Assistant
For the past four years, Joshua has managed AI’s
quantitative survey software, including programming
surveys in CATI telephone interviewing software, SNAP
survey software for written scannable surveys and Internet
surveys, as well as printing, scanning, data cleaning and
coding. He is responsible for testing survey software and
preparing file sets and accompanying documentation.
Joshua supports all our survey research data collection and
processing operations. He is proficient in the protocols,
processes, data collection instruments and collected data
for a variety of studies.
EXPERIENCE
2015 - present, Research Assistant, Analytic Insight,
Lewiston, ME
SELECTED WORK
Cooperative Agreement to Benefit Homeless Individuals
(CABHI). Constructed data sets using Census and HUD data,
assisted with the development of grantee fact sheets,
including data visualization charts and graphics.
State of Wisconsin Aging and Disability Resource
Evaluations. Review and creates multiple survey templates,
programs mail and online surveys using specialized survey
software, creates mailing lists and labels in MS Excel for
mail survey distribution.
AARP Age-Friendly Community Surveys. Data entry of mail
survey returns, programed online surveys, performed
calculations and produced data visualization charts in MS
Excel, report development including detailed findings per
survey question with correlating charts and graphs.
Population Assessment of Tobacco and Health (PATH)
Study. Reviews and edits qualitative data transcripts
regarding elctronic smoking device use, formats transcripts
for upload into NVivo, and coding based on respondent
characteristics.
Qualifications
• Four years of experience in
delivering high quality online
surveys, CATI programming and
SNAP survey development
programming
• Qualitative coding for the
Population Assessment of
Tobacco and Health (PATH)
Study, the nation’s largest study
of tobacco and health.
• Knowledge of personally
identifying information,
confidentiality and IRB
procedures
Education and Training
• BA, University of Maine at
Farmington, English and
Psychology, 2010-2014
Certifications
• NIH Information Management
Certificate, 2020
• NIH Information Security
Awareness Certificate, 2020
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PRIMARY CONTACT INFORMATION
The primary contact information for AI is:
Amy Flowers
President
478 Sabattus Street
Lewiston, ME 04240
(207) 221-3125
amy@analyticinsight.org
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D. EXPERIENCE
AI has experience developing action plans for numerous communities, including a recent cannabis
equity plan for the City of Denver. Our data collection activities engage key stakeholders throughout the
assessment and planning process to identify and characterize inequities and other needs in each
community. AI has conducted needs assessments, strategic planning and evaluations related to equity
and diversity, poverty, homelessness, access to social services and systemic racism.
EXPERIENCE COLLECTING DATA TO ADVANCE EQUITY
AI has experience collecting data that is used to inform community-wide efforts to advance equity and
inclusion. AI points to three studies, including our current equity, diversity and inclusion study with the
Colorado Department of Human Services, the development of a cannabis equity plan for the City of
Denver and our work on the Title V needs assessment and action plan for the State of Maryland.
1. COLORADO DEPARTMENT OF HUMAN SERVICES EQUITY, DIVERSITY AND INCLUSION STUDY
The purpose of this study is to provide an objective assessment of the Colorado Department of Human
Service’s (CDHS’s) assets, culture, processes and procedures through an EDI lens (Equity, Diversity and
Inclusion). This baseline information will help assess any divergence between the vision, values and
communications of CDHS and the perceptions of staff and residents of Colorado who are served by the
Department.
AI’s methodology includes three avenues for employees, staff and other key stakeholders to offer input
and participate in data collection activities throughout the assessment process. These avenues include
key informant interviews, a broadly distributed online survey and an interactive project website to
provide ongoing project updates and additional opportunities for staff, employees, stakeholders and
residents to participate and express their opinions.
The final deliverables include both draft and final report on the assessment results, a facilitated virtual
presentation of the assessment results, EDI plan of action, and recommendations of needed resources
and success metrics, a template for office-level equity action plans and a visual of recommended
organizational structure of EDI efforts at CDHS.
2. COLORADO EQUITY AND OPPORTUNITY IN THE CANNABIS INDUSTRY
This project examined the need for a social equity program to help the Denver cannabis industry achieve
equitable ownership and employment opportunities and to decrease disparities for marginalized
communities and address the disproportionate impacts of the War on Drugs.
The study was designed to address five primary research objectives:
1. Develop a point-in-time snapshot of the characteristics of firms, including ownership and
employees within the cannabis industry, examining the status of the industry and identifying
needs such as training and business technical assistance.
2. Examine business and employment outcomes and conditions to better understand how the city
may be able to support and partner with these firms to increase their success and community
outcomes.
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3. Review any lasting challenges to equitable access and opportunity in ownership, management
or employment within these businesses.
4. Identify existing challenges and changes as the cannabis industry matures and evolves; and
5. Analyze historical data of marijuana arrests and convictions to identify and understand possible
carry-forward impacts of previous laws and policies, and how they may be impacting business
and employments outcomes in the cannabis industry today.
The report provided an overview of existing business and employment conditions in the Denver
cannabis industry and a “playbook” with recommendations and guidance for any business assistance
and programs for City agencies, non-profit partners, private businesses and stakeholders to help current
and future residents, employees and businesses address disparities in equity and industry participation.
Our study was based on key informant interviews of those working in the cannabis and related
industries. Interviews also included social activists, neighborhood groups, education and recreation
facility leaders and others. We conducted strategic planning sessions with industry leaders and those
impacted by the industry. A series of public forums helped gather resident feedback concerned about
the impact of cannabis sales and the disproportionate impact of the drug war. An online survey was
broadly distributed with screening questions to establish respondents’ roles and interests guided the
questions that were presented later in the survey. The online survey was used as a tool to gather
feedback from a wide variety of participants, including impacted communities, industry employees,
owners of cannabis businesses and residents with concerns about the industry.
The full report is available at: https://www.analyticinsight.org/denver-equity-report
3. TITLE V NEEDS ASSESSMENT AND STRATEGIC PLANNING, STATE OF MARYLAND
The Title V Maternal and Child Health Services Block Grant Program is funded by the U.S. Department of
Health & Human Services, Health Resources and Services Administration (HRSA). The grant funding helps
Maryland fund programs that promote and improve the health and well-being of mothers, children,
including children and youth with special needs, and their families.
Every five years, each state is required to complete a comprehensive assessment of the health of
children, mothers, and families in the state, to fulfill a requirement of the Title V Maternal & Child
Health (MCH) Block Grant. The purpose of this assessment is to review the health needs of mothers,
children, including children and youth with special health care needs, and their families.
The first step of the planning process was to assess the current health needs of the populations and
establish priority areas to address. This was addressed through a meeting with the Steering Committee
and key informant interviews conducted with service providers throughout the state.
Each state is required to select a minimum of five National Performance Measures (NPMs) for
programmatic focus based on identified priority needs. The selected priorities may address a single
population group or multiple groups and should reflect the unique needs of the state. In addition, the
identified priority needs should address areas in which a state believes that targeted interventions can
result in needed improvements to its healthcare delivery systems. Before the onset of this project,
Maryland had been instructed by HRSA to address racial disparities in health outcomes and to focus
efforts on these disparities.
The Needs Assessment was structured in six stages. The first stage was the Planning Stage and included
the initial meeting with the Steering Committee and the development of a Research Plan. In Stage 2, we
gathered existing data from a variety of data sources to better understand the population needs,
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available services and disparities in access or health. Stage 3 consisted of data collection, including key
informant interviews and public forums. At this point in the research, we met with the Steering
Committee to gather their feedback on the data gathered to date. Stage 4 focused on identifying
priorities through strategic planning sessions with key stakeholders across the state and continuing to
gather feedback from the public. Stage 5 was reserved for public comment and included an online
survey, accessible through the Internet and optimized for access using any mobile device. The final stage,
Stage 6 was report development.
Several reports documented the findings:
Needs Assessment with Priority Areas and Recommendations
Summary Report
Five-Year Action Plan
Dissemination and Communication Plan
The materials developed for this study are available at: https://www.analyticinsight.org/md-titlev
FIRM’S APPROACH TO ETHICAL DATA GOVERNANCE
We understand the importance of protecting client confidentiality. AI’s project team is experienced in
handling sensitive data. Dr. Flowers has managed numerous research projects related to public health
and safety. In her work with the Office of Juvenile Justice and Delinquency Prevention (OJJDP) studying
gang involvement in cocaine trafficking and related homicides, Dr. Flowers coded qualitative homicide
records to record instances of gang and illegal drug involvement in sampled cases.
Dr. Flowers also provided entries for "Disclosure" and "Privacy" in the Encyclopedia of Social Science
Research from Sage Publications.
Ms. Ogilvie specializes in qualitative research, conducting numerous key informant interviews, as well as
interviews of people and families experiencing homelessness, mental illness or substance abuse
disorders. She completed Human Subjects Research training from the Collaborative Institutional Training
Initiative (CITI Program) in 2015.
In our federal work with the NIH and other federal agencies, AI staff participates in trainings and obtain
certifications related to information security and privacy awareness, records management and
cybersecurity.
We point to our work as a subcontractor to Westat on the PATH study as another example of our
experience ensuring client confidentiality. The PATH study is the nation’s largest study of tobacco and
health. The identity of the participants in the study is sought by many who would like to influence policy
around tobacco and electronic cigarette use. For this reason, and for HIPAA related concerns, participant
identities are highly confidential. AI is entrusted by Westat, NIH and FDA to de-identify interview data
for this study. Our staff is trained in data confidentiality and participates regularly in trainings and
briefings related to confidentiality and privacy in data.
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FIRM’S APPROACH TO CONDUCTING INCLUSIVE PUBLIC ENGAGEMENT
AI’s proposed methodological approach includes many opportunities for inclusive engagement with the
project team and key stakeholders, as well as Bozeman community members.
AI’s project manager, Amy Flowers, will hold a bi-weekly check-in meeting with the City’s project team
to provide an update of the activities that have taken place during the previous two weeks, those
planned for the upcoming period and any other discussion items. AI will hold survey development
meetings with the project team as often as necessary to develop the proposed survey instrument. These
meetings will ensure that the survey addresses all research questions to provide the City with a
comprehensive community equity assessment, gap analysis and list of appropriate equity indicators.
Bozeman community members and other key stakeholders will be engaged and encouraged to offer
their feedback to the assessment in several ways. First, we will develop a representative community
survey that will be broadly distributed and promoted. The survey will share some core questions and
concepts across all survey participants for comparison purposes, but will also seek to shed light on the
specific experiences of each key constituency related to equity and inclusion to best identify patterns
and gaps across the Bozeman community.
The second way we elicit participation from these constituencies is to provide a dedicated website with
project updates, ways to participate, weekly feedback questions and other engagement opportunities.
Finally, AI will host three community listening sessions that will offer community members an
opportunity to express their experiences and ability to thrive in the Bozeman community as correlated
to their identities and life circumstances.
The details of our methodological approach are outlined in Section E. Scope of Proposal. Below we
provide further examples of AI’s experience in providing inclusive public engagement with historically
underrepresented populations and local government entities.
1. ALASKA SENIOR NEEDS ASSESSMENT
Our study for the Alaska Mental Health Trust Authority focused on Native Alaskan elders and included
qualitative key informant interviews, community forums and focus group sessions, and telephone and
Internet surveys. Dr. Flowers worked with the Tanana Chiefs to arrange interviews with Alaska Native
elders throughout the region. During this study, Dr. Flowers brought her young daughter as a way of
humanizing the research and establishing rapport with native elder interview subjects. We also worked
closely with the Alaska Commission on Aging and a project Advisory Board consisting of members of a
variety of stakeholder organizations. Dr. Flowers presented the results to the community in a
community feedback forum and at the Alaska Public Health conference in Anchorage.
2. FOCUS GROUPS OF BALTIMORE YOUTH ILLEGALLY USING TOBACCO PRODUCTS
AI conducted eight focus groups around the greater Baltimore area of young adults who had illegally
smoked tobacco or used electronic smoking devices while underage and in high school. The study
included engaging African American youth to participate in several culturally specific focus groups. AI
successfully used social media advertising to fully recruit these groups with an average of 12 participants
per group. Our methods of using focused exercises to engage participants and offer opportunities for
individuals to share written notes in addition to their verbal participation elicited in-depth information
about illegal, underage tobacco procurement and use.
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EXPERIENCE IN PERFORMING GAP ANALYSIS
AI has experience conducting needs assessment and gap analysis similar in scope.
1. OKLAHOMA CITY HOMELESSNESS PLAN
AI developed a comprehensive homelessness action plan for the City of Oklahoma City, Oklahoma. The
evaluation and planning process included approximately 50 key informant interviews with city staff,
local homeless service providers, community-based providers, housing providers, faith-based
organizations, health care professionals including mental health providers, education staff and
administrators, as well as people experiencing homelessness. AI evaluated secondary data including
HMIS, HUD and PIT counts.
Dr. Flowers and Ms. Ogilvie facilitated 12 planning sessions with stakeholders to develop a
homelessness plan for the City. AI has entered into a second contract with the City to adapt the plan to
the needs and changing circumstances presented by the COVID-19 pandemic.
2. STRATEGIC PLANNING TO ADDRESS HOMELESSNESS IN CHATTANOOGA, TENNESSEE
AI developed a comprehensive 2018 homelessness action plan for the City of Chattanooga, Tennessee,
where we worked with the Chattanooga Interagency Council on Homelessness (CICH) to combat and
end homelessness. To achieve this, AI conducted approximately 30 key informant interviews with city
staff, local homeless service providers, community-based providers, faith-based organizations, homeless
coalitions, health care professionals including mental health providers, education staff and
administrators, as well as people experiencing homelessness. We also facilitated nine stakeholders focus
group planning sessions with key stakeholders and City leaders. Additionally, AI held a public meeting to
prioritize action items discussed throughout the focus group planning sessions and conducted a network
analysis for the City. Together with a literature review of best practices, and successful action plans
completed nationwide, we were able to provide a thorough and well-studied final action plan that highly
satisfied our clients.
Our final report started with a vision statement to end homelessness, to help set an optimistic mindset
and positive outlook when looking at and reviewing the report. Next, we provided an executive
summary with a short run through of our entire report, followed by an introduction and background
section which included information about the point-in-time count for homeless individuals in
Chattanooga. We then provided the meat of our report findings in the sections titled “Community
Challenges, Needs and Assets,” and “the Network of Organizations,” which entailed the qualitative and
quantitative data collected through our methodology as well as the social network analysis diagram.
Lastly, AI presented the 2018 Chattanooga Community Action Plan which, as a result of our
comprehensive methodology and analysis, was able to provide several recommendations and solutions.
Charts and graphs were used heavily throughout the report to provide a visual understanding of the
information being presented. Additionally, sprinkled throughout the report were case studies of similar
actions and information snapshots of pertinent information. Furthermore, AI provided a logic model of
the action items described. All of which was presented in an aesthetically and visually appealing way.
The link below provides the entirety of our final homelessness action plan:
https://www.analyticinsight.org/chattanooga-report
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This project demonstrates our ability to conduct key informant interviews with staff, service providers
and community leaders, and includes similar methodologies to those proposed for the City in this
proposal.
CHATTANOOGA REPORT SAMPLES
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3. STRATEGIC PLANNING TO ADDRESS HOMELESSNESS IN SANTA CLARITA, CALIFORNIA
AI developed a comprehensive 2018 homelessness action plan for the City of Santa Clarita, California. To
achieve this, AI conducted approximately 30 key informant interviews with city staff, local homeless
service providers, community-based providers, faith-based organizations, homeless coalitions, health
care professionals including mental health providers, and education staff and administrators including
the local community colleges and school districts. Additionally, AI held a two-day planning event with
these stakeholders to develop a homelessness plan for the City of Santa Clarita. AI also conducted a
network analysis for the City. Furthermore, AI developed the planning document and presented it, with
City staff, to the City Council at a public meeting.
Our final report started with an introduction and planning context section which included the reason for
the plan, information about our methodology and how it was carried out as well as the current
challenges facing organizations. We then provided the bulk of our report findings in each of the topic
area sections titled “Preventing Homelessness,” “Increasing Income,” “Subsidized Housing,” “Increase
Affordable/Homeless Housing,” and “Create Local Coordination,” which included specific actions
relevant to each topic that the community could take to combat and end homelessness within their
jurisdictions.
Charts and graphs were used throughout the report to provide a visual understanding of the information
being presented. Additionally, AI provided several network analysis graphics to display the connections
of different organizations and how well each of them communicate with each other. Furthermore, AI
color coded each topic area to allow for the final report to be presented in an aesthetically and visually
appealing way.
The link below provides the entirety of our final homelessness action plan:
https://www.santa-clarita.com/Home/ShowDocument?id=15984.
This project compares to the services requested by the City by demonstrating our ability to conduct key
informant interviews with City and County staff, service providers, advocates and community leaders. It
includes a similar methodology to that presented in this proposal.
A few pages of the report are provided on the following page.
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SANTA CLARITA REPORT SAMPLES
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4. FAMILY NEEDS ASSESSMENT IN PALO ALTO, CALIFORNIA
AI developed a comprehensive family needs assessment for the City of Palo Alto California. This project
was to assess the personal, educational and childcare needs of families with young children (under 12).
To achieve this, AI gathered data from stakeholder interviews with community leaders and stakeholders
in childcare and education, interviews with childcare providers and a survey of Palo Alto families with at
least one child under the age of 13. To ensure the feedback of three groups often underrepresented in
surveys and needs assessments: families with children with special needs, lower income families and
Asian families, focus groups were conducted with each of these participants.
Our final report started with an executive summary which provided an overview of our most impactful
findings. This section was followed by an introduction and background section which included
information about our methodology and how it was carried out. We then provided detailed findings in
the sections titled “Caring for Children in Palo Alto: Strengths, Needs and Challenges,” “Current Growth
and Changing Demographic,” and “Cost, Accessibility, Availability and Quality of Child Care in Palo Alto,”
which entailed the exploration of current obstacles, barriers and needs that are currently affecting
families and how these are likely to impact future trends. Furthermore, AI investigated the use of a
multigenerational center using a case study which provided evidence of success in similar communities.
Lastly, AI recommended strategies for how to improve the quality of life for Palo Alto residents with
young children. This included emphasizing how to increase interest in the field of childcare through
recruitment and retention strategies.
Charts and graphs were used heavily throughout the report to provide a visual understanding of the
information being presented. Additionally, provided throughout the report were corresponding and
relevant quotes from respondents of our interviews and survey, as well as participants of our focus
groups. All of which was presented in an aesthetically and visually appealing way.
The methodology for this project included key informant interviews and an online survey. Issues
examined for the project included attracting, recruiting and retaining employees for childcare providers.
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PALO ALTO REPORT SAMPLES
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5. FAMILY NEEDS ASSESSMENT IN AUGUSTA COUNTY, VIRGINIA
In 2018, AI worked with the Central Shenandoah Valley Office on Youth and the Greater Augusta
Prevention Partners Coalition. For this project, AI assessed the needs of youth in Augusta County,
Virginia, including an analysis of negative youth behaviors and problems most frequently seen in the
community, youth delinquency and resiliency, service gaps and possible solutions.
The methodology for this project incorporated a mixed-methods approach that included key informant
interviews of service providers and community organizations, a parent mail survey with an online survey
component, parent and youth intercept interviews in the County, and a stakeholder forum.
Extensive use of secondary data analysis and literature reviews included Census data, the Youth
Assessment & Screening Instrument (YASI), the National Crime Victimization Survey (NCVS) and Bureau
of Justice Statistics (BJS) data to provide a comprehensive portrait of the community in relation to the
rest of the state and the country as a whole.
This project demonstrates again, AI’s ability to conduct, synthesize and analyze data from secondary
data sources, key informant interviews and online surveys to provide a comprehensive analysis of the
dynamics of a community and their service needs.
6. CHILD ADVOCACY CENTER EVALUATION, STATE OF MARYLAND
AI worked with the Maryland Department of Health on a Child Advocacy Centers (CACs) statewide needs
assessment. For this project, AI conducted 23 interviews with a CAC representative from each of
Maryland’s CACs to learn about each center’s resources for helping assess and address child
maltreatment. This included assessing the CAC sources for funding and training medical providers,
ascertaining the training needs for support staff and medical providers, and determining the number of
children served per CAC, the number of exams performed per CAC and the number of hours each center
needs for each medical provider.
7. COMPREHENSIVE STATEWIDE NEEDS ASSESSMENTS
AI has conducted several Comprehensive Statewide Needs Assessments (CSNAs), including for the
Pennsylvania Association for the Blind (PAB) and its network of 29-member agencies, the State of
Kentucky Office for the Blind, and the Delaware Division for the Visually Impaired.
In each of these three projects, AI used a mixed-methods, participatory approach. AI focused not only
on the opinion, suggestions and feedback of the key stakeholders and providers, but also engaged blind
or visually impaired individuals to obtain their opinions, suggestions and feedback on the needs of that
specific population.
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DEMONSTRATING EQUITY, DIVERSITY AND INCLUSION IN OUR WORK
In addition to our work related Equity, Diversity and Inclusion (EDI), Analytic Insight provides evidence-
based planning to strengthen services and programs for people with disabilities, those experiencing
homelessness, those who have disparate access to healthcare and other services and other populations
that are marginalized or vulnerable. This work requires us to be aware of those individuals in our own
community and beyond who are similarly marginalized or vulnerable. AI has taken several actions to
ensure that our impact on our community is positive.
There are several ways this has shaped our practice within AI. First, we lead by example. AI’s culture and
values are supported by practices that include employee time off for volunteer activities, support of
local non-profits, inclusive and equitable hiring and promotion practices and open dialogue about the
important, often difficult topics like racism, discrimination and access.
In our work for the Aging and Disability Resource Centers (ADRCs) in the state of Wisconsin, AI has
conducted focus groups with clients, many of whom were elderly or have developmental or cognitive
disabilities. Our work to develop action plans to address homelessness in numerous communities have
all included key informant interviews with individuals and families experiencing homelessness, as well as
focus groups and public forums that are designed to elicit direct participation of homeless and formerly
homeless residents. These interviews are conducted with the upmost respect and consideration.
We are careful to speak to people in their own language whenever possible. In our work for the City of
Palo Alto, AI offered Spanish interpretation for our focus groups of low-income Hispanic families and we
conducted several childcare provider interviews in Spanish. Although we did not have a Spanish speaker
available for the groups, we hired a bilingual resident of the complex to provide translation. When
conducting public forums across the State of Maryland to gather feedback on the Title V programs, we
worked with interpreters to offer Spanish access and included American Sign Language interpretation.
During these groups, Alisa Raymond, our Research Associate was able to greet several respondents in
Korean.
Dr. Flowers, who will serve as project manager for this project, has a BA from the University of California
at Berkeley and earned her PhD at the University of Southern California in sociology. She has been
certified in qualitative interviewing techniques by the RIVA institute, the gold-standard in interviewer
training. With this training, she has successfully moderated many focus groups and community forums
to gain the feedback and insights of low-income, minority, and vulnerable, hard-to-reach populations
within a community.
Ms. Leslie Ogilvie brings a Master’s in Public Administration and has, together with Dr. Flowers,
moderated focus groups and facilitated public forums of low-income, minority, and vulnerable, hard-to-
reach populations.
Ms. Alisa Raymond has her Master’s in Public Administration, with an emphasis on public health policy.
Ms. Raymond also serves as the Chief Operations Officer (COO) for Cardiovascular Health Initiative (CHI,
Inc.). CHI, Inc. is a 501(c)(3) non-profit with the mission to help healthcare professionals reduce deaths
related to heart disease through education, prevention, and intervention in medically underserved areas
of developing African countries. Ms. Raymond speaks some Korean.
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EXPERIENCING CRAFTING ENGAGING AND VISUAL REPRESENTATIONS OF DATA
AI takes pride in our ability to produce aesthetically pleasing visual tools and templates. AI has
developed infographics and facts sheets for many our projects. We developed fact sheets for housing
owners under our evaluation of Kansas City’s Community Transformation Grant, to educate them about
the advantages of smoke-free policies. We recently developed fact sheets for grantees of SAMHSA’s
Cooperative Agreement to Benefit Homeless individuals (CABHI), provided here. Our strategy is to
develop report graphics to provide clear, interesting and accurate portrayals of the results.
The images below provide an example of the fact sheets we developed for our homelessness study in
Chattanooga. These fact sheets were distributed during stakeholder strategic planning sessions and each
correlated with the action plan for the planning session.
We provide further examples of our ability to craft engaging and visual representations of data
throughout this proposal.
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E. SCOPE OF PROPOSAL
AI understands the purpose of this study is to better understand how Bozeman residents experience the
community as correlated to their identities, as well as how identity and life circumstances impact a
person’s ability to thrive in Bozeman. The City also wants to understand the capacity for Bozeman
institutions and community organizations to address the inequities uncovered through a gap analysis.
We understand that the City seeks to collect community-wide data along various indicators such as
mental health, educational attainment, employment, income, housing affordability, criminal justice,
access to City services, current infrastructure gaps and more. AI will use a mixed-methods approach to
collect this data and provide the City with a comprehensive community equity assessment and gap
analysis report that includes recommendations for addressing gaps in services. AI will develop a list of
equity indicators for the City to track progress over time.
AI will be committed to extensive community engagement throughout the process. AI offers numerous
opportunities for inclusive engagement with the project team and key stakeholders, as well as Bozeman
community members which are detailed in the sections below.
DETAILED NARRATIVE OF THE SERVICES PROPOSED
Below we provide a detailed narrative of the services proposed for each phase of the study should AI be
selected for this project.
PHASE 1: DATA COLLECTION AND STAKEHOLDER MAPPING
TASK 1.1: PROJECT INITIATION
AI begins the project with a virtual kick-off meeting with the City’s project team to discuss the project
goals, methodology, protocols and timeline. We will work with the project team to identify and acquire
existing data from relevant sources including local agencies and organizations, as well as determining
what publicly available data would be most useful for further analysis. AI will work with the project team
to identify gaps in existing data and identify new data sources. We will also identify which previous
efforts and studies should be evaluated, as well as the stakeholders, individuals and organizations who
should be engaged throughout the process.
TASK 1.2: BACKGROUND RESEARCH
AI understands that the City wishes the data to be disaggregated by race, ethnicity and gender identity
as the data allows. It should be noted that when using American Community Survey (ACS) census data
the variables available using 2019 estimates are limited and to provide detailed analysis we may need to
use the Census’ three- or five-year averages.
In analyzing data from the City or partners, AI’s practice to provide data only on groups of five
respondents or more. This protects the privacy of individuals who might be identifiable in a group of less
than five.
AI has extensive experience working with large, national data sources to create area profiles. For our
family needs assessment in Waynesboro, Virginia for example, we used the Bureau of Juvenile Statistics
and Department of Justice crime victimization data, along with detailed Census information, to
understand the risk and protective factors impacting youth in that community.
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In our work on the Cooperative Agreement to Benefit Homeless Individuals (CABHI) Evaluation funded
by SAMHSA, AI created profiles for 30 grantees. These profiles included information on the service
provider’s demographic profile compared to national trends, veteran population, participation by area
residents in mainstream benefits such as Social Security, SSI or SNAP benefits, and housing
demographics.
AI produces a variety of data visualizations to show results of quantitative data obtained from existing
data sources. Below is an example from our needs assessment for the state of Maryland’s Title V
program. We begin each section with an overview of the issue over time, provide detail of the issue by
ethnicity and race, and highlight important information, such as counties with the highest percentage of
low-risk cesarean deliveries.
TASK 1.3: STAKEHOLDER ENGAGEMENT
AI uses a stakeholder mapping process that harnesses the complex and comprehensive local knowledge
of the Bozeman community, as well as seeks to expand the network and engage those who have not
previously been engaged. AI’s robust stakeholder engagement approach includes up to 30 key informant
interviews, a project website and community listening sessions.
Key Informant Interviews
We anticipate conducting approximately 30 structured interviews with a diverse range of stakeholders.
AI will work with the City to develop an appropriate list of stakeholders, individuals and organization
representatives. We recommend constructing a list of 40 or so individuals to provide back-ups for those
who are unreachable or decline to be interviewed.
We anticipate interviews to be approximately 30 minutes in length. AI uses Microsoft 365’s online
scheduling platform to invite interview participants to schedule their own interview using our calendar
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system. This system enables participants to visit the booking page at their convenience, book the time
they need and receive a confirmation email and calendar invitation. They can return to reschedule or
cancel if needed. The email confirmation includes a meeting link so they can join via a web browser or
phone dial-in. Participants do not need to log in or have a Microsoft account to join. We also offer our
phone number for those who prefer to schedule the interview by phone, although we find that many
interviewees prefer online scheduling.
Development of the Interview Guide
AI will work with the project team to ensure that the interview guide covers all topics of interest. We will
provide a draft of a detailed interview guide for the project team to review and we suggest a telephone
conference call to discuss and revise the draft. The City can also provide changes in writing. At this early
stage, we anticipate that the interviews will focus on ways Bozeman residents experience the
community and how their identity and life circumstances impact their ability to thrive in the community.
AI’s detailed interview guides provide both quantitative and qualitative data for development of our
subsequent data collection activities. In our work for the City of Palo Alto for example, we began by
interviewing service providers and used the information gathered to develop surveys of parents and
families regarding their needs and barriers to getting services.
Similarly, in our work for the City of Santa Clarita, AI began the process of strategic planning and action
plan development with key informant interviews of 30 service providers and other key stakeholders who
provide services or resources to individuals and families experiencing homelessness in the community.
These interviews guided our strategic planning efforts and in the development of feasible actions the
City, service providers and other relevant stakeholders could take to prevent and combat homelessness
in the Santa Clarita community.
Snowball Sampling
In order to assist the City in identifying and engaging new stakeholders, we will ask the key informants
which other service providers, agencies or organizations are within the provider’s network that have not
already been identified. AI will use a snowball sampling technique to recruit these additional relevant
stakeholders from within the service provider’s social network to ensure those stakeholders receive an
invitation to engage in a key informant interview, attend a community listening session or respond the
community survey. Snowball sampling is a technique where known stakeholders recruit additional
participants from among their acquaintances, co-workers and peers.
Social Network Analysis
We anticipate examining several social network descriptive characteristics to further understand the
overall network of providers and stakeholders who contribute to advancing equity, diversity and
inclusion in Bozeman. During our key informant interviews, we will ask stakeholders to name, for
example, the three organizations or individuals they have worked with most closely on equity issues.
This allows us to develop an understanding of the network of interrelated organizations working
together to advance equity in the Bozeman community.
AI will formulate additional questions for the network analysis. Typically, the frequency of interactions
related to equity, the frequency and type of communication, sharing of resources and work on new
initiatives are central to an analysis of this type.
The results will give the City descriptions of the network, including measures of cohesiveness (how
closely all organizations work together or if a few organizations work closely with small input from
others), the direction of relationships, and whether the network is characterized by "reciprocated" ties
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where each directs a tie to the other. This is indicative of the degree of cohesion, trust, and social capital
that is present among those working to advance equity in the community.
The example chart below shows the network of organizations working on issues related to homelessness
in the city of Santa Clarita, California. The graph was drawn based on answers to the question of how
often an organization communicates with each other organization on a topic related to homelessness.
Organizations are color-coded by type, so that red nodes (circles) indicate City departments and blue
nodes indicate service providers and green nodes indicate school districts. Dark solid lines connecting
organizations indicate that they communicate weekly or more often, as compared with the light blue
that indicate organizations communicate at least monthly but less than weekly.
The size of each node conveys important information. The size of the node indicates the level of
“betweenness”, or the proportion of communication in which they connect two or more other nodes
that do not communicate with each other directly. A high betweenness score indicates that removal of
the organization would have a critical impact on a large sector of the network. As shown in the graph,
the City, the Sherriff, a few service providers and a single school district are the most “between”
organizations that are key to any network communication.
The shape of the network is also important to note. Except for a few organizations (Department of
Rehabilitation, Parents in Partnership and the Salvation Army), the network forms a circular, smooth
shape. This indicates (with exceptions noted) a well-distributed, evenly dense network.
The large amount of information contained in a single network analysis graphic and the large number of
graphics that are made possible by a single survey question necessitates a strongly focused analysis.
Graphics can be overly complex and include a great number of variables and information. Alternatively,
when focused on a single question, they can be quite straight-forward.
ACTION Family Counseling
Assistance League
Bridge to Home
Child & Family Center
City of Santa Clarita
College of the Canyons/Student Health & Wellness
Department of Rehabilitation
Domestic Violence Center of SCV
Family Promise SCVHelp the Children
Henry Mayo Newhall Memorial Hospital
Newhall School District
Parents in Partnership
PATH-Los Angeles
Real Life Church
St. Kateri Parish
Salvation Army
Samuel Dixon Family Health Center
San Fernando Valley Coalition of Governments
Santa Clarita Food Pantry
Santa Clarita Public Library
Santa Clarita Sheriff’s Station
Saugus Union School District
Sulphur Springs School District
Single Mothers’ Outreach
Valencia United Methodist Church
William S. Hart School District
County of Los Angeles
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The network analysis can reveal subgroups or cliques within the network. If the data indicate that
cliques are formed based on factors other than participation in homelessness initiatives, those will be
important to identify. If the network contains highly segregated subgroups who are not well integrated,
it may point to the need for more communication or other efforts toward inclusion. If the network is
integrated across naturally occurring divisions, such as organizational type or sector, that may indicate a
strength of the initiative and call for analysis between groups or a specialized division of labor between
organizations.
AI uses UCINet software, which offers flexibility in exporting the matrices to produce visually stunning
graphs. Nodes can be color coded according to any color palette, as well as scaled to size to represent an
organization’s measure on other variables.
AI, if selected for this project, will address the frequency of contact between stakeholders, the level of
collaboration and the factors that define network ties. The focus of the analysis will be on identifying
how existing resources can be maximized, identifying additional resources and partners from various
sectors, ways to leverage untapped resources and partners.
Project Website
We propose including a website for the assessment, where residents, staff and any community member
can review the purpose, methods and timeline of the study, find information on data collection activities
such as the details of the community listening sessions or a link to the community survey. The website
can provide additional updates such as the number of individuals who attended the listening sessions,
the number of surveys completed to date, or preliminary results for a question of interest.
This webpage can collect feedback on a “question of the week” such as “How has your understanding of
diversity changed over time?” or “tell us about a time when you demonstrated leadership or
commitment to equity in your community.” Responses are posted publicly, but anonymously. Visitors
often enjoy scrolling through the comments and responses and it brings them back to participate again.
Comments are carefully monitored to prevent spam, personal identifying information or other misuses.
AI will host the website, which will have a short and easy to remember tiny URL. The link to the website
should appear on all collateral, media releases and other promotional material about the assessment
such as community listening sessions or survey invitations. We maximize the searchability for the page
using search engines, ensure that while colorful and graphic, the site is fast-loading and easy to navigate.
Like our key informant guide and all our deliverables, AI will provide the City with a draft website design
and a link to the final page for your approval before it is launched.
Community Listening Sessions
AI will facilitate three community listening sessions that will provide Bozeman residents and other key
stakeholders an opportunity to express their experiences and ability to thrive in the Bozeman
community as correlated to their identities and life circumstances.
AI’s participatory action research techniques ensure that the community listening sessions engage
participants, provide meaningful and insightful data, and help AI develop feasible recommendations that
will be supported by the community. Through this positive collaborative experience, the City will
strengthen and enhance its relationship with community residents and other key stakeholders.
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We anticipate that these listening sessions will be held in person in Bozeman over the course of one
week at a variety of times and locations. For example, the project team may consider the following:
Day Session Time Proposed Location
Tuesday 6:00 PM – 8:00 PM Bozeman Fire Station 3
Wednesday 12:00 PM – 2:00 PM Bozeman Public Library
Thursday 6:00 PM – 8:00 PM Montana State University
At this time, we anticipate that the community listening sessions can be conducted in person. However,
the sessions can be conducted virtually through Microsoft 365 or Zoom should restrictions on large
gatherings continue to be in place due to the ongoing COVID-19 pandemic.
TASK 1.4: DATA COLLECTION
AI proposes sending a mail survey to a sample of households in Bozeman. Survey questions will focus on
their experiences in the community as correlated to their identities, how identity and life circumstances
impact a person’s ability to thrive in Bozeman, as well as what needs they believe exist in the
community to advance equity, diversity and inclusion. The mail survey will also be available for residents
to take online. The survey can be promoted through social media or press releases by the City, key
stakeholders and other local agencies.
Community Survey Development and Sampling
AI will work closely with the project team to ensure that the final survey questionnaire addresses all
important data priorities. Our expertise in the art and science of survey design will ensure the final
questionnaire will obtain valid and reliable data. Even when using established and tested questions,
there are still many potential sources of measurement error (wording effects, question order effects,
response category effects, etc.). The instrument will be reviewed and revised as needed to minimize and
counterbalance these effects.
The survey format can aid the response rate. Research shows that survey materials with a familiar logo,
such as the City’s seal, can garner a response rate of 15 percent or higher. AI’s professionally designed
survey instruments use color strategically on every page. Brief, well-written, easy-to-understand
questions complement a range of literacy levels.
Sampling Design
AI will purchase a list of households with names and addresses for residents over the age of 18. Based
on a conservatively estimated response rate of 12%, we will purchase a listing of 5,000 households to
receive a statistically valid sample of 600 responses. This number of responses allows AI to conduct
subgroup analysis based on race, ethnicity, gender identity, age, income, education level or any other
variables of interest.
AI is well versed in complex stratified sampling and data weighting. We conducted a Behavioral Risk
Factor Survey (BRFS) for Santa Clara County California, working with U.S. Center for Disease Control
(CDC) to design a complex sample with oversampling of low-income and Vietnamese residents, and
weighted and analyzed the results to CDC specifications. This expertise allows us to talk with the County
about strategic oversampling while ensuring statistically reliable results within subgroups such as
minority or Hispanic households, low-income, or other demographics of interest to the County.
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Weighting the Survey Results
An integral part of sampling is the weighting of the survey results. These two activities, sampling and
weighting, are closely related. The weighting of results must consider the sample stratification including
the number of strata, the number of sampling stages, the population and sample size. AI uses SPSS
Complex Samples to estimate the error associated with a complex, stratified, multi-stage (households,
then individuals within households) sampling methodology. We are familiar with both the traditional
post stratification weighting, which we used in our Santa Clara County BRFSS work described above, as
well as the newer method of raking data, which we used in our work for CDC’s Community
Transformation Grant (CTG) evaluation.
We anticipate making weighting adjustments for race, ethnicity and gender identity. Our sampling
strategy (including selection of individuals within households) is designed to keep these weights at a
minimum. The proper use of weighting is not to compensate for bad sampling design, but to correct for
natural variations within the sample. For this reason, we monitor the sample closely throughout the
survey to ensure that respondents are representative of the population and individual responses are not
weighted so heavily that the margin of error increases.
Mail Survey
AI proposes a mail survey to a random sample of residents in Bozeman. In 2020, mail survey response
rates are approximately equal or greater than that of telephone surveys due to caller ID, voicemail and
reliance of cellphone service.
For this printed, mailed survey, AI recommends using a single 11 by 17-inch sheet of paper, folded in
half for a booklet-style, 8 ½ by 11-inch survey. We propose including a cover letter that introduces the
survey and its objectives, and requests participation by the recipient and completion of the enclosed
survey. This page usually incorporates the City’s logo or another design to establish its local origin.
Each survey packet will include:
1. Cover letter requesting participation in the survey
2. Four-page survey for completion
3. Post-card to enter raffle drawing for $100 pre-paid VISA gift card
4. Self-addressed, stamped envelope to return the survey and raffle post-card
We propose providing an incentive to improve response rates. We propose offering survey respondents
a raffle drawing to win a $100 pre-paid VISA gift card by including their name on a separate ticket
enclosed with the survey. The drawing will be held at the conclusion of the data collection period. We
recently used a similar drawing for a mail survey of households with school-aged children and received a
response rate of 17 percent, despite conducting the school-based survey during summer months.
Online Survey
To further supplement the response rate and to provide an inclusive process for community members to
participate in the survey, AI proposes offering an online survey link that can be posted on the City’s
social media or website, or widely distributed through email to residents, community groups and other
lists at the discretion of the project team. AI uses our web-based survey software (SNAP) to administer
the online survey instrument and can be used in conjunction with the mail survey administration.
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For example, the cover letter included with the
mail survey provides the web address or a QR code
to access the online survey. The letter provides
instructions for the respondent to complete the
survey online if the respondent so prefers.
We often provide a graphic to advertise the
online survey. This graphic includes a QR code,
so that a participant can scan the survey
invitation on paper or online, to be connected
directly to the survey. An example from our
recent project exploring the social equity in the
cannabis industry is shown to the right.
PHASE 2: DATA ANALYSIS
Over the course of 20 years of experience working with state and local agencies, we have learned that it
is critical to work closely with our client to dive deep analytically into the findings. When developing
recommendations, we will work closely with the project team to ensure that the results are presented in
a way that is informed by your history and mission. It is often after consultation with the client about
key findings that we embark on multiple regression or factor analysis, as a way of answering specific,
detailed questions about the findings and data.
All our data collection activities including background research and existing data analysis, key informant
interviews, community listening sessions and community survey results will contribute to the
development of a nuanced understanding of the gaps and other factors impacting the findings.
TASK 2.1: ANALYZE DATA SETS TO DETERMINE EQUITABILITY OF EXPERIENCE
AI will analyze existing and newly collected data to determine any existing inequities or disparities in
community experience. We will compile and disaggregate by race, ethnicity and gender identity. We will
look at other equity indicators such as mental health burden, education, economic opportunity and
inclusion, social inclusion and belonging, environmental justice, food security, housing affordability and
stability, criminal justice, accessibility and access to City services.
TASK 2.2: PERFORM GAP ANALYSIS
AI offers advanced statistical techniques to provide additional insights and perform gap analysis to
ascertain the City’s internal capacity and that of community partners to address any inequities that are
uncovered through our data collection activities. The range of techniques enables us to explore
underlying concepts and trends, model the effect of changes, and even project into the future.
Our staff of research professionals is experienced in the use of such techniques to provide our clients
with meaningful insights and policy actions. AI may perform some of these techniques in the data
analysis phase, including:
T-Tests of Statistical Significance
This indicates whether the difference between two groups’ averages most likely reflects a “real”
difference in the population from which the groups were sampled. Statistical significance is determined
by the size of the difference between the group averages, the sample size, and the standard deviations
of the groups.
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Regression Analysis
This compares the effects of one or more variables or data points on another and is widely used for
forecasting. Multiple regression seeks to understand the relationship between several independent or
predictor variables and a dependent or criterion variable. This procedure produces a regression formula
that can answer the question “what best predicts the outcome observed or answers to a specific
question?” The linear regression formula tells you what factors best predict a given outcome and the
degree to which each of these factors contributes to the prediction. For data structures that are not best
predicted by linear function, non-linear regression analysis would provide the same answers.
Factor Analysis
This tool finds the underlying construct behind answers to a series of questions. For clients, it simplifies
the interpretation of large datasets. It consolidates many variables into a few underlying factors which
drive aspects like satisfaction, image or customer retention.
Multidimensional Scaling and Perceptual Mapping
This procedure is designed to detect meaningful underlying dimensions that allow the researcher to
explain observed similarities or dissimilarities (distances) between the investigated objects. As a result,
one can "explain" the distances in terms of underlying dimensions. The technique can assign meaning to
these differences through the analysis of attributes or features. Objects are compared and a map is
created that shows how respondents compare these objects. It can be used to compare companies,
universities, products or services to understand positioning in your customers’ minds.
Cluster Analysis
Most clients want to know how the demographic characteristics of respondents relate to important
questions so that they can segment their constituents. A general question facing researchers in many
areas of inquiry is how to organize observed data into meaningful structures, that is, to develop
meaningful groups. For example, one may want to understand what market segments exist within a
specific region. Cluster analysis groups residents or voters into related clusters with similar attitudes or
behaviors and demographics. In general, whenever one needs to classify respondents into meaningful
groups, cluster analysis is a useful technique.
Discriminant Analysis
Discriminant function analysis is used to determine which variables discriminate between two or more
naturally occurring groups and is akin to cluster analysis. Where cluster analysis identifies variables of
factors that best group segments together, discriminant analysis helps define which variables best
differentiate between groups. Discriminant analysis relies on previously defined groups whereas cluster
analysis uses information to discover these groups. It is used to determine which variables are the best
predictors of membership in a particular group.
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TASK 2.3: DRAFT FINAL REPORT
In our final report, we strive to paint a portrait of the data with all its rich complexity and context. To
accomplish this, we present the survey findings alongside well-designed charts and rich stakeholder
quotes to illustrate key findings. We will provide a draft report and revise the draft considering the
project teams’ feedback. We anticipate that our report will include:
❖ Executive Summary that describes the key findings and recommendations.
❖ Introduction providing the background, context and objectives of the project.
❖ Methodology section documenting our mixed methods approach, including data collection and
public engagement methodology, framework and records.
❖ Detailed findings based on the data collection activities in visual and engaging formats.
❖ Results of the gap analysis.
❖ Appendices including data sources, interview guides, survey questionnaires, references and other
documentation of the research methods and protocols.
AI produces a variety of charts and graphs to show the results of an assessment. The example shown
below is a logic model developed for the City of Denver, showing that there are three areas of the
cannabis industry in which to address disparities in access to the opportunities of the industry:
employment as an entry to the industry, ownership of businesses and community restoration for those
communities disproportionately impacted by the war on drugs.
For each of these areas, we show the existing barriers found through our needs assessment, the
recommended criteria for assistance in each area (Application Requirements), recommended form of
assistance (Plan Element), and the expected outcomes.
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AI will design a reporting template that enhances the professionalism and aesthetic quality of the
reporting. We use:
1. A consistent color scheme throughout the report.
2. Appropriately scaled charts so results can be compared side by side.
3. Color coding of above or below average results for ease of comprehension.
4. Axis labels that are clearly defined within each graph.
5. Sample sizes clearly marked for each graph or table.
6. Word clouds, trees and other visualization for qualitative data analysis.
Data visualization and the art of presenting qualitative data obtained through stakeholder interviews is
something we take pride in at AI. For example, we recently moderated combined qualitative data
obtained through focus groups with quantitative results in a report on how young adults and parents
make decisions about the college planning process. AI used word clouds, participant quotations and a
chart of quantitative results to demonstrate the results and justify recommendations. Example pages
from this recent work are provided below.
Presentation to City Staff
AI will present the findings to City staff. In doing so, AI will prepare a PowerPoint presentation that
includes the methodology, key findings, identified needs, recommendations for the future and
aesthetically pleasing graphic visuals.
Dr. Amy Flowers is a skilled speaker who has presented research results to national audiences for over
15 years. She conducted a workshop this year at the Global 360 qualitative conference in Amsterdam
and has previously presented AI’s work at the Center of Excellence on Disability Research
National Conference, sponsored by the Department of Health and Human Services in Washington, DC.
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Dr. Flowers has presented at most of the previous 10 Wisconsin Alliance of Information & Referral
Systems (AIRS) annual training conferences and was the Keynote Speaker at the 2014 Annual Training
Conference. Information and referral specialists who work with elders and adults with disabilities
receive certification credits for attending Dr. Flowers’ sessions at the conference. She has also presented
at the National Home and Community-Based Services Conference sponsored by the Administration on
Aging and the National Association of States United for Aging and Disabilities (NASUAD).
Ms. Leslie Ogilvie has presented the results of several projects on behalf of Analytic Insight, including
presenting the results of AI’s study of the Maine School Breakfast Program to the statewide School
Nutrition Conference, as well as several presentations to the public and policy makers in Chattanooga,
Tennessee, Licking County, Ohio and Oklahoma City, Oklahoma.
The slides below are from our recent presentation of a needs assessment and five-year strategic plan
addressing homelessness, provided to the City of Chattanooga.
PHASE 3: DEVELOP EQUITY INDICATORS
AI will work with the project team to
develop a list of equity indicators the
City should track to monitor progress
based on emergent themes from the
data collection process and based on
what the community has expressed an
interest in tracking.
AI has experience developing impact
and performance indicators on a
variety of topics. Each of the strategies
recommended in our action plans to
reduce and end homelessness include
performance measures so the
community can track progress and
document success to leverage for
future investment.
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METHODS AND TECHNICAL TOOLS TO REACH AND INCLUDE COMMUNITY MEMBERS
AI’s proposed methodological approach includes many opportunities for inclusive engagement with
Bozeman community members. First, the community survey is broadly distributed and promoted to
encourage participation from many different residents. This allows us to receive the number of
responses necessary to conduct sub-group analysis for special populations of interest. The survey will
share some core questions and concepts across all survey participants for comparison purposes, but will
also seek to shed light on the specific experiences of each key constituency related to equity and
inclusion to best identify patterns and gaps across the Bozeman community.
The second way we elicit broad public participation is to provide a dedicated website with project
updates, information about the community listening sessions and a link to the community survey,
weekly feedback questions and other engagement opportunities.
Finally, AI will host three community listening sessions that will offer community members an
opportunity to express their experiences and ability to thrive in the Bozeman community as correlated
to their identities and life circumstances.
Like many organizations, AI has needed to modify and innovate our community engagement strategies
to accommodate virtual options in light of COVID-19 safety precautions. To facilitate large meetings and
workshops, AI uses Microsoft Teams or Zoom online platforms. Both options offer “Breakout
Rooms” that allow a meeting organizer to split participants into multiple online rooms for small group
discussion and collaboration. Microsoft Teams and Zoom both provide a grid view of 7×7, which
accommodates up to 49 participants at once on a single screen. Other features include the ability to
chat and ask questions, as well as using the “Raise Hand” feature if a participant wishes to comment
during the large group discussion.
Most recently in Licking County, Ohio, AI facilitated a large group meeting using Zoom to present the
community’s 2020 homelessness action plan. AI reviewed each of 13 strategy recommendations
outlined in the plan with the meeting participants. At the conclusion of each strategy review,
participants were asked to answer three poll questions to ascertain implementation efforts moving
forward. The poll questions included how the strategy should be prioritized, how easy or difficult the
strategy would be to implement, and whether the participant would be interested in working with a
team to move forward with the steps necessary to implement the strategy.
METHODS AND TIMELINE OF COMMUNICATION WITH THE PROJECT MANAGER AND OTHER PARTIES
AI will hold bi-weekly check-in meetings with the project team for the duration of the assessment via
telephone, Microsoft 365 Teams or Zoom. We will prepare an agenda for each meeting and distribute it
the day before each meeting. The agenda will include an update for activities that have taken place
during the previous two weeks, those planned for the upcoming period and any other discussion items.
These agendas will provide a formal documentation of the progress of the project.
AI will update the project website frequently to ensure that Bozeman community members have the
information they need to attend a community listening session or access to the community survey
through a link. AI can include weekly feedback questions or other engagement opportunities.
AI uses Microsoft 365’s online scheduling platform to invite key informant interview participants to
schedule their own interview using our calendar system. This system enables participants to visit the
booking page at their convenience, book the time they need and receive a confirmation email and
calendar invitation. They can return to reschedule or cancel if needed.
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SCHEDULE FOR COMPLETING TASKS
AI proposes about a 6-month timeframe to complete the assessment and report the results to City staff
and other key stakeholders. AI can work to accommodate an alternate project schedule at the discretion
of the City’s project team.
TASKS AND DELIVERABLES DATES (2021)
Kick-Off Meeting Week of January 4
Update meetings with the City’s project team Bi-weekly throughout project
Secondary data gathering and background research January 11 – February 12
Develop Project Website and incorporate feedback from the City’s
project team prior to launch
Launch by February 12
Key informant interview guide development Draft by January 18
Final by January 25
Conduct 30 key informant interviews January 26 – February 19
Community listening session logistics and material development January 26 – February 19
Conduct 3 community listening sessions March 1 – 5
Community survey development and promotional material
development
Drafts by March 12
Finals by March 22
Survey programming, mailing and promotion March 22 – 31
Survey data collection period March 31 – April 28
All data, social network and gap analysis April 29 – May 22
Draft report Draft by June 15, 2021
Develop list of equity indicators Draft by June 30, 2021
Final report and list of equity indicators Final by June 30, 2021
Present findings in-person to City staff and other key stakeholders TBD
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AI anticipates an initial kick-off meeting in the beginning of January with the final report and list of equity indicators due by June 30, 2021. We
anticipate the in-person presentations will be scheduled after the report is finalized.
1/1 1/28 2/24 3/23 4/19 5/16 6/12 7/9
Presentation
Develop list of equity indicators
Final Report
Draft Report
All data, social network and gap analysis
Survey data collection period
Survey programming, mailing and promotion
Community survey development and promotional material development
Conduct 3 community listening sessions
Community listening session logistics and material development
Conduct up to 30 key informant interviews
Key informant interview guide development
Project website development
Secondary data gathering and background research
Ongoing bi-weekly project update meetings
Kick -Off Meeting
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SOFTWARE AND OTHER ANALYSIS TOOLS
AI offers a range of quantitative analytical techniques, including complex sampling and weighting, tests
of significance, data reduction techniques and measures of association. Our technical competence
includes the ability to record, translate and analyze interview data. AI will use a Livescribe Smartpen,
which is a pen with an embedded computer and digital audio recorder. When used with its digital
notebook, the Smartpen records what we write, which we later upload to our computer, synchronizing
our notes with the recorded audio.
AI uses our web-based survey software (SNAP) to administer the online survey instrument and can be
used in conjunction with the mail survey administration.
To analyze qualitative data, AI uses ATLAS.ti software which offers a variety of tools for coding and
summarizing data and creating data visualizations. AI can conduct statistical analysis using IBM SPSS
Statistics version 23, which includes all analytic modules. Reports are generated using the full
complement of Microsoft Office products.
SUBCONTRACTED WORK
AI staff will complete all work on this project. No work with be subcontracted.
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F. BUDGET
Our budget for to provide the City of Bozeman with equity indicators and gap analysis totals $74,574.
This is a fixed fee cost that includes all project team hours, materials, supplies and postage as needed, as
well as any other costs associated with the services described herein.
AI anticipates that Dr. Flowers and Ms. Ogilvie will attend the in-person community listening sessions
and presentation to City staff at the conclusion of the project. Our fixed fee cost includes all travel
expenses for these in-person events.
ESTIMATED HOURS BY TASK
The table below provides the estimated hours for each proposed task for each AI staff member, which
are represented as follows:
1. AF=Amy Flowers, President and Project Manager
2. LO=Leslie Ogilvie, Senior Research Associate
3. AR= Alisa Raymond, Research Associate
4. JF= Joshua Flowers, Senior Research Assistant
5. SR= Shelia Russell, Research Assistant and Editor
Phase Task AF LO AR JF SR
Phase 1: Data
Collection and
Stakeholder
Mapping
Task 1.1: Project Initiation 12 10 - - -
Task 1.2: Background Research 4 4 16 16 -
Task 1.3: Stakeholder Engagement 24 66 48.5 56 -
Task 1.4: Data Collection 11 18 16 36 30
Phase 2: Data
Analysis
Task 2.1: Analyze Data Sets to
Determine Equitability of Experience 19 29 44 60 16
Task 2.2: Perform Gap Analysis 6 24 20 - -
Task 2.3: Draft Final Report 18 76 32 - 32
Phase 3: Develop
Equity Indicators
Task 3: Develop Equity Indicators
8 24 16 - -
TOTAL HOURS 102 251 192.5 168 78
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COST BY TASK
Phase Task Cost
Phase 1: Data
Collection and
Stakeholder
Mapping
Task 1.1: Project Initiation $ 2,855.00
Task 1.2: Background Research $ 2,466.00
Task 1.3: Stakeholder Engagement $ 19,370.00
Task 1.4: Data Collection $ 18,048.00
Phase 2: Data
Analysis
Task 2.1: Analyze Data Sets to
Determine Equitability of Experience $ 10,828.00
Task 2.2: Perform Gap Analysis $ 3,820.00
Task 2.3: Draft Final Report $ 13,215.00
Phase 3: Develop
Equity Indicators Task 3: Develop Equity Indicators $ 3,972.00
TOTAL COST $ 74,574.00
SCHEDULE OF RATES
Employee Job Title Rate
Amy Flowers, PhD President and Project Manager $ 177.51
Leslie Ogilvie, MPA Senior Research Associate $ 72.50
Alisa Raymond, MPA Research Associate $ 50.75
Joshua Flowers Senior Research Assistant $ 40.85
Sheila Russell Research Assistant and Editor $ 35.50
DIRECT COSTS
Direct Expense Cost
Travel Expenses $ 5,075.00
Sample Procurement $ 1,500.00
Raffle Gift card $ 100.00
Postage $ 5,500.00
Printing and Materials $ 4,442.84
Community Listening Sessions- Facilities and Refreshments $ 2,250.00
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G. REFERENCES
1
Colleen S. Wilburn, MPA
Title V Manager
Project Coordinator, MD Maternal Health Task Force
Maternal and Child Health Bureau, Maryland Department of Health
201 W Preston Street, 314K
Baltimore, MD
410.767.6716
colleen.wilburn@maryland.gov
2
Molly Duplechian
Deputy Director, Policy and Administration
Department of Excise and Licenses
City and County of Denver
201 West Colfax Ave. Dept. 304, 11th Floor
Denver, CO 80202
720.865.2739
molly.duplechian@denvergov.org
3
Amanda Robinson
Equity, Diversity, & Inclusion Program Manager
1575 Sherman Street
Denver, CO 80203
720.656.9464
amanda.robinson1@state.co.us
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H. AFFIRMATION OF NONDISCRIMINATION (APPENDIX A)