01Who it's for
The organizations the sector usually overlooks.
Locally-led organizations and smaller nonprofits in international development. Mid-size teams everywhere that deliver important work without a full M&E department, and don't need one.
M&E for any organization, any budget.
Free, AI-powered resources for the full M&E cycle.
Our mission, in three parts.
02How we do it
Free, AI-powered resources for the full M&E cycle.
Designing logic models and theories of change, running evaluations, and learning from what they find. Plain English, built for practitioners. Methodologically sound floor, no license.
03What changes
M&E quality stops being a budget question.
Country offices, grantee partners, and small teams design, run, and learn from M&E as readily as the largest INGO. They start from working examples instead of rebuilding the same logframe, indicators, and TORs every cycle. No consultant retainer, no full department, no jargon translator.
M&E should produce decisions. Every indicator names a decision, a decision-maker, and a timeline.
And the starting work is shared work. Indicators, logframes, evaluation TORs, and survey questions get rebuilt in thousands of organizations every year. They shouldn't have to.
How We Think About M&E
Three principles guide every engagement:
Decision-Linked Measurement
Every indicator needs a named decision, a named decision-maker, and a timeline. If a piece of data does not inform a specific decision, it should not be collected.
Minimum Viable Measurement
The right 10 indicators beat 80 every time. We design systems that collect the minimum evidence needed to make decisions with acceptable confidence, and stop there.
Burden Awareness
Every data collection extracts from someone. We make that cost visible and ask whether the evidence value exceeds the human cost of gathering it.
Where AI Helps in M&E
AI Works Well For
- First drafts of logic models and results frameworks
- Indicator quality review and improvement suggestions
- Survey instrument drafting and refinement
- Data analysis scripts and visualization
- Report formatting and structure
- Document review and gap identification
AI Does Not Replace
- Contextual judgment about what matters in your program
- Stakeholder relationships and participatory processes
- Ethical review and cultural sensitivity
- Political navigation and organizational dynamics
- Quality assurance of AI-generated outputs
- Final decisions about evaluation conclusions
The full library, free at point of use.
Built and maintained by a working M&E practitioner. Free at point of use.
3,900+
Indicators
Across 26 donor frameworks (USAID, FCDO, GAC, SIDA, EU). 33 sub-libraries.
140+
AI prompts
For indicator design, logframes, ToCs, evaluation TORs, reports, surveys.
20+
Practical guides
Plain-language guides covering the full M&E cycle.
145+
Wiki entries
Terms, methods, frameworks. Cross-linked across the library.
6+
Plugin skills
me-review plugin in the Claude Code marketplace. Reviews logframes, indicators, TORs, M&E plans, reports, and surveys against 652 MEAL rules.
Start with what's free.
140+ AI prompts. 3,900+ indicators. Plain-language guides. No signup, no paywall.