1Map plausible pathways
A theory of change can connect inputs, activities, outputs, engagement, short-term outcomes, and longer-term impact. It should include assumptions, context, other contributors, and potential negative or unintended effects.
Impact may emerge through relationships, standards, tools, trained people, policy advice, products, or cumulative evidence.
2Use mixed evidence and responsible metrics
Citations, downloads, patents, policy mentions, adoption, guidelines, partnerships, training, and economic indicators can be useful, but each measures something different. Qualitative evidence can explain mechanism and significance.
Avoid treating a single database or score as a complete measure of quality or impact.
3Make contribution claims that match the evidence
Research rarely acts alone. Case studies should distinguish direct evidence from inference and explain alternative influences, uncertainty, reach, and durability.
Assessment should support learning, not merely create promotional stories.