Why Evaluation Design Matters More Than Data Collection
Most nonprofits start evaluation backwards. They collect whatever data is easy to gather, then struggle to tell a meaningful impact story. Effective evaluation starts with a clear framework: What change are we trying to create? How do our activities lead to that change? What evidence would demonstrate progress?
AI is a powerful thinking partner for this design work because it can rapidly generate, critique, and refine logical frameworks.
Building a Logic Model with AI
A logic model maps the causal chain from resources to impact. AI can help you build one that is both rigorous and practical:
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What you'll learn:
- Use AI to build logic models that connect activities to outcomes
- Design theory of change documents that satisfy both internal planning and funder requirements
- Create evaluation questions and indicator sets aligned with your program model