Designing a Theory-Driven Metrics Framework
Start with needs, define inputs and activities, articulate outputs, and connect them to outcomes and lasting impact. Make assumptions explicit and testable. A visual map aligns teams and funders, and we’d love to see examples you’re proud of.
Designing a Theory-Driven Metrics Framework
Choose a balanced indicator set: reach and uptake, quality of service, outcomes that matter to households, and equity across groups. Avoid clutter—each metric should tell a necessary part of the story. Comment with the one indicator you would never drop.
Designing a Theory-Driven Metrics Framework
Establish a credible baseline and set realistic, time-bound targets. Build learning loops that revisit targets when context shifts. Treat deviations as insight, not failure. Subscribe for templates that turn monthly check-ins into real improvement cycles.