Practice area
Research, Evaluation & Impact Measurement
We build the measurement architecture that lets organizations state what a program is doing, whether it is working, and what the evidence supports.
Evaluation Design Measurement Frameworks Data & Analysis Research & Reporting
Why organizations engage us
Organizations are increasingly asked to demonstrate impact, and increasingly find they cannot. Data has been collected for years without a framework behind it, indicators track activity rather than results, and reporting is assembled under deadline from whatever happens to be available.
We build the architecture that makes credible measurement possible: a clear model of how the program is supposed to work, indicators that follow from it, collection methods the organization can actually sustain, and analysis that answers the questions being asked.
How we approach evaluation
We start with the decision, not the data. Before designing anything, we establish what the organization or its funder needs to decide. Evaluations designed without that anchor tend to measure what is easy to measure.
We make assumptions explicit. A Theory of Change is useful because it forces a program to state what it believes — that these activities, for this population, under these conditions, will produce these results. Once written down, those assumptions can be tested rather than presumed.
We design proportionately. A rigorous methodology the organization cannot execute produces worse evidence than a simpler design executed well. We match the design to available capacity, data systems and budget.
We report what the evidence supports. Where findings are strong, we say so. Where data is thin, the sample is limited, or results are inconclusive, we state that plainly. Overstated findings damage an organization’s credibility with the funders and oversight bodies that matter most to it.
Measurement that continues
Much of our work is building systems rather than producing a single study. That means indicator definitions the organization can apply consistently, collection protocols staff can follow, dashboards that update as data comes in, and reporting templates that meet funder requirements without a reconstruction exercise each cycle.
The intent is that measurement becomes an operating routine rather than a periodic project.
Typical engagements
- A nonprofit that needs a Theory of Change and M&E framework to satisfy funder requirements and guide program design
- A public program requiring an independent evaluation with defined questions, methodology and reporting
- An organization with multiple programs and no consistent indicator set, needing a unified outcome framework and dashboard
- An institution conducting a needs assessment to inform program design before committing resources
Capabilities
What research & evaluation work includes
Evaluation Design
- Program evaluation design
- Monitoring and evaluation (M&E) frameworks
- Theory of Change development
- Logic models and results frameworks
- Evaluation questions and methodology selection
- Baseline and endline study design
Measurement Frameworks
- Indicator and KPI development
- Outcome and impact frameworks
- Performance measurement systems
- Data collection plans and protocols
- Measurement plans aligned to funder requirements
Data & Analysis
- Quantitative and qualitative data collection
- Survey and instrument design
- Data analysis and interpretation
- Program dashboards and visualization
- Data quality assurance
Research & Reporting
- Applied and formative research
- Needs assessment and landscape analysis
- Evaluation reports and briefs
- Funder and board reporting
- Findings translation and recommendations
Engagement approach
How an engagement typically runs
The sequence varies with scope, but these stages are consistent across the practice.
- 01
Clarify the question
We establish what decision the evaluation is meant to inform. An evaluation without a decision attached to it produces a report nobody uses.
- 02
Model the program
We build the Theory of Change or logic model that makes the program's assumptions explicit and shows what would have to be true for it to work.
- 03
Design the measurement
We select indicators, methods and data sources proportionate to the program's scale and the organization's capacity to collect data reliably.
- 04
Collect and analyze
We gather quantitative and qualitative evidence, check data quality, and analyze against the questions the evaluation set out to answer.
- 05
Report and apply
We report findings plainly — including inconclusive ones — with recommendations the organization can act on, and set up ongoing monitoring.
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Who this practice serves
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