Research, Evaluation and Data Inquiry (REDI)

We design custom survey instruments and observation rubrics tailored to your specific questions and context, whether you're gathering feedback from students, staff, families, or community members. Forms can be administered online for ease of collection and analysis, or as scannable paper forms. We help you think through question wording, response scales, and structure to ensure the data you collect is both meaningful and actionable.

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Numbers only tell part of the story. Through individual interviews, small-group discussions, and other "street data" methods, we help you gather the ground-level experiences and perspectives that quantitative data can miss. This qualitative approach surfaces the "why" behind the numbers, uncovering context, nuance, and lived experience that can inform more responsive decision-making.

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We turn raw data into clear, digestible, and compelling reporting products, including summary tables, data visualizations designed to spark insight and discussion, concise written reports, and interactive dashboards. This applies to publicly available data (such as CDE datasets), data collected through newly developed instruments like surveys or interviews, and existing internal data that isn't publicly reported. Our goal is to make sure the right people can find, understand, and act on the data that matters to them.

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Before launching a new program or initiative, we help you make sure it's set up to succeed. This includes identifying evidence-based practices relevant to your goals, assessing how well different approaches fit your context and community, prioritizing which actions to take first, and evaluating your team's organizational readiness and capacity to implement something new.

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Good decisions start with a clear understanding of where you stand. We conduct needs and assets assessments, root cause analyses, and gap analyses to help you identify what's working, what's missing, and what underlying factors are driving the outcomes you're seeing. These findings lay the groundwork for informed, targeted next steps.

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We help programs move from broad intentions to clear, evaluable plans. This includes assessing whether a program is ready to be evaluated, facilitating goal-setting conversations, developing logic models that map resources to outcomes, identifying meaningful objectives and metrics, and supporting Plan-Do-Study-Act (PDSA) cycles for continuous improvement.

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For questions that require rigorous, in-depth investigation, we design and conduct systematic, data-driven evaluations and research projects. These engagements are built to generate reliable findings about a program's effectiveness, and overall impact, giving you the evidence base needed to sustain, scale, or refine your work.

Reliable decisions depend on reliable data. We review existing data collection practices and data sources to assess completeness, consistency, and accuracy, identifying gaps, redundancies, or discrepancies along the way. You'll come away with concrete recommendations for strengthening your data collection processes going forward.

Learning sessions geared toward any of the listed topics above, including Improvement Science, Implementation Science, Data Use Self-Assessment, how to read dashboards or evaluation reports, how to use data platforms (e.g. DataQuest) or survey platforms (e.g. Qualtrics, Google Forms), how to build a logic model, write good survey questions, or create KPIs.

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