A Road Map for Building Evidence that Drives Learning and Improvement
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Key Findings
- Mathematica’s measurement and evaluation (M&E) approach and associated toolkit tailor learning in four phases to fuel evidence-based, innovation.
- Evidence-based, innovation starts by identifying a need, problem, or challenge in partnership with a community in focus—the community whose goals should drive design. The M&E approach engages this community as collaborators throughout all phases of research and design.
- Progress is not always linear. The evidence determines when a solution should move to the next phase, stay within a phase and continue development, or return to a prior phase.
Mathematica’s measurement and evaluation (M&E) approach and associated toolkit provide a road map for generating evidence about new or evolving solutions. This overview resource introduces four phases of evidence building and provides an illustrative example of this M&E approach in action.
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