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Impact Measurement & Evaluation
Impact measurement should tell you whether your work is changing people's lives and why. We build logic models, define behavioral indicators and design practical evaluations that boards, staff and funders can trust and use.
The problem behind the problem.
Mission-driven organizations are asked to prove impact constantly, yet the measures available are often weak. Reports count participants, sessions and satisfaction ratings because those are easy to collect. Funders request different metrics in different formats. Staff spend hours on data entry that never informs decisions. Meanwhile, the questions that matter most remain unanswered: Are participants actually doing something differently? Which parts of the program drive change? For whom does it work, and for whom does it not?
Rigorous evaluation can seem out of reach, especially for organizations without research staff. But useful impact measurement does not always require a large randomized trial. It requires a clear theory of change, indicators that capture behavior and outcomes, measures with sound psychometric properties and an evaluation design matched to the organization's resources and the decisions it needs to make. Our background in research methods, psychometrics and test-and-measurement shapes how we approach this work.
How we deliver impact measurement & evaluation.
- 01Observe
Clarify questions and context
We meet with leaders, staff, participants and funders to understand what each needs to learn and what decisions evaluation should inform. We review current data collection, reporting burdens and program delivery, observing the program where possible, so the evaluation fits real operations rather than an idealized version of them.
- 02Signal
Define behavioral indicators
We build or refine the logic model and theory of change, then define indicators at each level: activities, participant behaviors and outcomes. We prioritize leading indicators of behavior change that show progress before long-term outcomes appear, and we assess existing data and measures for reliability, validity and usefulness.
- 03Design
Design the evaluation
We select evaluation designs suited to the questions and constraints, such as pre and post comparisons, comparison groups, staggered rollouts, mixed methods or, where feasible, randomized designs. We develop or adapt validated instruments, data collection protocols and analysis plans, and we reduce reporting burden by removing measures that do not inform decisions.
- 04Test
Field and analyze
We pilot instruments and protocols, refine them, then support data collection and conduct analysis. Findings address what changed, for whom and why, combining quantitative results with participant and staff perspectives. We report honestly, including null or mixed results, since those findings are essential for improving programs.
- 05Scale
Build a learning system
We create dashboards and reporting templates aligned to the logic model and help organizations integrate evaluation into regular decisions. We coach staff to interpret data and adjust programs, and we help leaders communicate findings to boards and funders with clarity and integrity. Findings are also shared back with participants and communities where appropriate.
Deliverables.
What changes.
Who engages us.
We work with executive directors, program and evaluation leaders, boards and funders of public health associations, medical associations, academic medicine programs, school districts, community mental health organizations, foundations and impact investors. Common triggers include a funder evaluation requirement, a program expansion decision, a strategic plan, a grant application that needs a stronger evaluation plan, or doubts about whether a long-running program still works.
Industries
Beyond the balance sheet.
Honest impact measurement protects the people programs are meant to serve. It helps organizations continue what works, fix what does not and direct scarce resources toward real benefit. Participants deserve programs that are effective, and their time and data should be respected in every survey and interview. Funders and the public gain credible evidence. Staff gain the satisfaction of knowing their effort makes a demonstrable difference.
Frequently asked questions.
What is the difference between impact measurement and program evaluation?
Impact measurement usually refers to ongoing tracking of outcomes and indicators. Program evaluation is a more focused assessment of whether and how a program works, often answering specific questions with a defined design. Both depend on a clear logic model and good measures, and the strongest organizations combine routine measurement with periodic evaluation.
Do we need a randomized controlled trial?
Not always. Randomized designs provide strong evidence but are not always feasible or ethical. Comparison groups, staggered rollouts, pre and post designs with careful controls and mixed methods can produce credible, useful evidence. We match the design to your questions, resources and the decisions the evidence must support. We are candid about the strength of evidence each design can provide, so findings are not overstated to funders or the public.
Why focus on behavioral indicators?
Long-term outcomes such as health status or graduation take time to change and are influenced by many factors. Behaviors that lead to those outcomes, such as screening, attendance or practice adoption, change sooner and are more directly tied to the program. Tracking them provides earlier and more actionable evidence of progress.
Can you help reduce our reporting burden?
Usually, yes. Many organizations collect data that no one uses. By aligning measures to the logic model and the decisions that matter, we often recommend dropping redundant items, consolidating instruments and creating shared reporting templates that satisfy several funders at once. Lighter reporting also respects participants, who should not answer questions that serve no purpose.
Often paired with.
Social Impact Strategy
Build a social impact strategy around the specific behaviors that connect your programs to better health, learning and community outcomes.
ExploreSurvey & Measurement Design
Build surveys and measurement instruments that are reliable, valid and ready to inform decisions, grounded in psychometrics rather than in guesswork.
ExplorePredictive KPI Design
Replace lagging and vanity metrics with behavior-based leading indicators that forecast results and give teams something they can actually influence.
ExploreRelated insights.
Psychometrics for Business Surveys
How the science of psychological measurement makes business surveys trustworthy, from reliability and validity to item writing, scale design and connecting survey scores to behavior.
Read
Leading and Lagging Indicators
A practical guide to leading and lagging indicators: what each one is, how they work together, and how to confirm that a leading indicator truly predicts results.
ReadReady to talk about impact measurement & evaluation?
Every engagement begins with a conversation. Tell us what you are facing and we will tell you, candidly, how we would approach it.
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