Impact evaluation & observatories
AI agent 03 · Development cooperation, public sector, foundations

Project evaluation assistant

Reads a project proposal, builds and validates the logical framework, recommends the impact evaluation design, and checks that the sample is feasible.

Client: Fundación Cosecha Segura · fictitious, simulated data
83
logframe quality score
759
households in the sample
5
indicators fixed
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Project evaluation assistant

The problem

Writing a project with a solid logical framework and a defensible evaluation design takes scarce methodological expertise. Mistakes (vague indicators, impossible samples) surface when it is too late.

What it delivers

  • Validated logical framework
  • SMART quality score
  • Recommended evaluation design
  • Feasible sample size

Agent tools

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Each tool is a real Python function the agent chooses to call. Every call is shown on screen, so the process can be audited.

How it works

Not a chat that only replies: it works in a loop, picks the right tool, checks what it gets, and delivers.

  1. 1Reads the project proposal document.
  2. 2Builds the logical framework: goal, purpose, outputs, and activities.
  3. 3Validates indicators against SMART criteria and fixes them from an indicator bank.
  4. 4Recommends the evaluation design with a methodological decision tree.
  5. 5Computes the sample size and checks feasibility.
  6. 6Exports the project’s technical sheet.

The agent in action

Real screenshots of the app. Click to enlarge.

Built with Anthropic Claude. Runs on your infrastructure, with a demo mode and a live reasoning mode.

Impact evaluation & observatories

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