Walk an impact story backward
Build an AI-assisted impact story by tracing claims back to theory-of-change evidence.
The situation You have case notes, attendance data, and one quote. The AI draft is compelling but leaps beyond what the evidence supports. A beautiful story that overclaims can weaken trust with funders and participants. The framework Outcome -> evidence -> quote Theory of change keeps the story aligned to the change pathway instead of the model's dramatic instincts. Bad shortcut Let the model turn participation into life transformation. The final story is vivid, defensible, and clear about what remains to be learned. Impact language should never climb higher than the evidence can carry. Step 1 The AI draft claims…
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