The Nonprofit AI Almanac

Impact measurement and evaluation

Write the methods section of an evaluation report

Explains how you gathered and analyzed data in clear, honest language.

Lower risk: public info only — Describe your methods; do not include participant data.

Please note: This site is only a guide to help people understand. Consult your IT, security and/or privacy department for clarification.

Before you start, gather

Take [DATA COLLECTION METHODS], [DATES] and [HOW DATA WAS ANALYZED] from your evaluation plan and the staff who ran it. Fill [NUMBER AND GENERAL DESCRIPTION] from final counts. Do not paste participant data.

Starter prompt

Write the methods section of an evaluation report for [PROGRAM NAME]. We used: [DATA COLLECTION METHODS]. Participants: [NUMBER AND GENERAL DESCRIPTION]. Time period: [DATES]. Analysis: [HOW DATA WAS ANALYZED]. Include limitations and how we protected privacy. Plain language, honest about weaknesses. Describe only the methods and numbers I list; for anything missing, such as sample size or response rate, write MISSING INFO instead of guessing.

Paste the prompt into your AI tool first, then replace the placeholders with your own details. Don't use real names of clients or donors.

Open an AI tool

You are leaving this guide. Copy the prompt first, then open a tool. The link goes to the website of the company named on each link, in a new tab. That company's terms and privacy policy apply there. Paste the prompt in, then replace the placeholders with your own details. Don't enter real names or confidential details.

Check the result

Make sure it describes only what you really did, and have an evaluator review if it will be used for high-stakes reporting.

What it might get wrong

Statistical tests, sampling methods, response rates or consent steps you never used. A limits paragraph that sounds rigorous but describes a study you did not run.

Why AI makes things up