A searchable wiki with 150+ entries covering the M&E fundamentals, from theory of change to disaggregation.
M&E Resources
The indicators, definitions, templates, and reference materials every M&E team rebuilds from scratch. Already done. Free to use.
Featured Resources
Two starting points, so nothing here begins on a blank page.
Clear comparisons and decision frameworks for the trade-offs M&E teams hit most often, grouped by hub.
Logframe vs Theory of ChangeHow to conduct a DQAOutput vs Outcome vs ImpactBrowse all →
Indicator Library
4,300+ curated indicators across 18 sectors, 3 languages.
Proposal Hub
Decision guides, AI prompts, and vocabulary for proposal writing.
AI Guides
Step-by-step AI workflows for every major M&E task.
Pick Your Starting Point
Three common starting points, each with a short sequence to follow.
Learn the Fundamentals
- Read the method guides
- Look up unfamiliar terms in the glossary
- Pick a decision guide when stuck
Get the M&E Section Right
- Browse proposal decision guides
- Copy an M&E section template
- Use the AI prompt library for drafting
Bring AI into Your M&E Work
- Pick a playbook for your task
- Use the copy-paste prompt templates
- Review data governance first
Recently Added
Fresh entries, decision guides, and playbooks from across the library.
How to Conduct a Data Quality Assessment
A step-by-step guide to conducting a DQA using the five standard dimensions. How to select indicators, design verification procedures, conduct the site visit, and write the DQA report.
How-toContribution Analysis: Building a Credible Case Without a Control Group
A structured approach to building a credible case for how and why a program contributed to observed outcomes, without requiring experimental attribution.
Developmental Evaluation
An evaluation approach designed for complex, adaptive programs in which goals and processes are emergent, and the evaluator works alongside the program team as an embedded learning partner.
Impact Evaluation
A rigorous evaluation approach that measures the causal effect of a program on outcomes by comparing what happened with what would have happened in its absence.
Logframe / Logical Framework
A structured matrix that summarizes a project's design, linking activities to expected results through a clear hierarchy of objectives with indicators, verification sources, and assumptions.
Most Significant Change
A participatory qualitative monitoring approach that systematically collects and selects stories of change to identify and share the most significant outcomes of a program.
Outcome Harvesting: Working Backward from Observed Outcomes
A retrospective evaluation approach that identifies, verifies, and analyses outcomes that have occurred, then determines whether and how the program contributed to them.
Outcome Mapping
A participatory planning and monitoring approach that tracks behavior changes in the people, groups, and organizations a program works with directly, rather than long-term development outcomes.