AI for M&E: A Practitioner's Resource
Guides for M&E teams using AI, from writing better prompts to governing AI use across your organization. Everything here is free.
Playbooks
Step-by-step AI playbooks for the M&E tasks that take the most time. Each playbook runs in a single AI conversation and produces a complete output.
AI for M&E Guides
Walk-through guides for every major M&E task. Filter by phase or search by topic.
How to Clean Messy M&E Data with AI
Turn 15 hours of manual cleaning into 2 with a 4-step workflow that combines free tools and AI validation to catch errors human review misses.
AnalysisHow to Build Better Surveys with AI
Most AI survey tools stop at generating questions. This guide covers the full lifecycle: choosing question types, catching bias, adding skip logic, and piloting before you deploy.
Data CollectionHow to Draft Evaluation Reports with AI
Stop staring at a blank page. A 4-phase workflow turns your completed analysis into donor-ready evaluation narrative in hours, not days.
ReportingHow to Code Qualitative Data with AI
Turn 30 pages of interview transcripts into validated themes in 2 hours instead of 3 weeks. A 4-step workflow that pairs AI pattern recognition with human analytical judgment.
AnalysisHow to Build a Theory of Change with AI
Stop drawing boxes and arrows that nobody believes. A 4-step workflow that uses AI to surface hidden assumptions, stress-test causal logic, and produce a ToC your donors trust.
PlanningHow to Quality-Assure AI-Assisted M&E Work
AI produces confident-looking wrong answers. Without a validation stack, you publish them. This 6-layer framework gives your M&E team the discipline to catch errors before they reach donors, boards, or communities.
GovernanceHow to Get Reliable AI Outputs in M&E Work
Cloud AI is confident and fluent and sometimes just wrong. For M&E work that feeds into evaluations, donor reports, and funding decisions, fluent-sounding errors are the enemy. This page covers the practical moves that reduce AI failure rates: hallucination prevention, local model use, quality control patterns, and pipelined AI.
GovernanceHow to Use AI to Write a MEL Plan
A MEL plan is the most requested M&E deliverable, and the most time-consuming to write from scratch. AI can draft the structure, populate indicator tables, and flag gaps, but only if you guide it section by section.
PlanningHow to Use AI to Design an M&E Framework
Logframe, results framework, outcome mapping, or something else? AI can help you choose the right structure and populate it, but you need to tell it what decisions the framework must support.
PlanningWhat every guide includes
Every guide is written to get you from setup to a usable output, with the same three pieces in every one.
Step-by-step workflow
A clear process from setup to output, written for non-technical practitioners.
Copy-paste prompt templates
Ready-to-use prompts you can adapt immediately for your context.
Field-tested frameworks
Structured approaches grounded in M&E practice, not generic AI advice.
Foundations
The skills and safeguards that apply to every AI-for-M&E task.
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Looking for pipeline architecture (multi-step AI workflows for data-intensive work) rather than task-level prompt guidance? See how we build pipelines
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Browse 2,900+ donor-aligned indicators, a curated prompt library, and free M&E tools, all built for practitioners.