Impact Evaluation
Using rigorous evaluation designs, we help organizations generate credible evidence to prove and improve their impact.
Impact Evaluation – Measuring What Works and Why
- Randomized Controlled Trials (RCTs): Rigorous evaluations that
randomly assign participants to intervention and control groups
to estimate causal impact - Quasi-Experimental Designs (e.g., DiD, PSM, IV): Evaluation
methods that use statistical techniques to mimic experimental
conditions in real-world settings - Mixed Methods Evaluations: Combining quantitative and
qualitative data to provide a richer understanding of outcomes
and mechanisms - Theory-Based Evaluation: Using frameworks like contribution
analysis or process tracing to assess whether and how a
program contributed to observed outcomes - Real-Time/Adaptive Evaluation Approaches: Flexible
evaluations that provide timely feedback to inform course
corrections during implementation.
- Evidence That Transforms Decisions
- Partnerships That Strengthen Systems
- Results That Drive Learning