Move from data to understanding
Kindling Insights(v.) Gathering together to share ideas, questions, knowledge, data, and aspirations, to kindle a spark that grows towards the change we hope to see.
- Program evaluation
- Data analysis and visualization
- Logic models
- Data parties
Making data accessible, engaging, and actionable
Amber Lewis supports nonprofits and community programs in understanding and strengthening their impact.
With nearly a decade of experience working with funders, universities, and education-focused organizations, she has led evaluations for St. Louis–area nonprofits as well as multiple National Science Foundation initiatives focused on student success, career development, and equity in STEM.
Amber partners with program teams to clarify goals, develop logic models, design instruments, and conduct meaningful data collection and analysis. Her previous background in college access, trauma-focused therapy work, and grant writing shapes her collaborative, people-centered approach to evaluation.
She invites partners to participate in the process of understanding and learning from data through interactive data visualization and dashboards, as well as facilitated exploration sessions, or data parties. She brings expertise in both quantitative and qualitative methods, and her work centers on empowering people and organizations to ask better questions, use insights effectively, and support meaningful improvements in their communities.
Amber also serves as Vice President of the Evaluation Association of St. Louis (EASL), a local affiliate of the American Evaluation Association, where she builds community around evaluation practice and creates a professional home for those who find themselves working with data.
Understand and strengthen your impact
Kindling Insights is a St. Louis based consulting practice, providing program evaluation services to nonprofits and education-focused organizations.
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01
Program logic model development
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02
Evaluation planning and grant support
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03
Instrument review and design
Surveys, focus group or interview protocols, and longitudinal planning
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04
Data collection and analysis
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05
Data visualization and interactive dashboarding
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06
Results presentations and facilitated data exploration sessions
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07
Traditional evaluation reporting
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