Catalogue/Tier 3 · Job Skills/Research & Media

AI+ for Monitoring & Evaluation cover

T3-95 · Tier 3 · Job Skills

AI+ for Monitoring & Evaluation

Design, Track and Report Programme Impact with AI

Friday morning. Donor review on Monday. The data is there. The report isn't.

Your logframe is on its fourth revision. Your KII guides are rewritten from scratch every project. Your findings sit in PDFs nobody opens. AI won't fix the funding — but it gives you more capacity for rigorous M&E with less rework. MERIT Protocol, 40+ prompt templates, 90-day plan. Built by an AI engineering firm for M&E professionals who know better evidence changes programmes — and want the time to show it.

Tier

Tier 3 · Job Skills

Category

Research & Media

Format

Guide

Updated

Q2 2026

Read full bookSee in 6 bundles

Inside

40+ ready-made prompt templates: logframe design, KII guides, indicator frameworks, analysis synthesis, donor reporting
The MERIT Protocol — a five-stage M&E workflow: Map, Establish, Retrieve, Interpret, Translate
A data quality and triangulation framework for building defensible, analysis-ready datasets before AI-assisted analysis begins
An evaluation design workflow from evaluability assessment and evaluation questions through to a complete Terms of Reference
A 90-day integration plan for embedding AI into your M&E practice — with quick wins in the first month and a system-wide upgrade by day 90

Who this is for

M&E officers and MEAL coordinators in international development NGOs, UN agencies, and government M&E units — typically 2–8 years' experience, responsible for logframes, indicator tracking, data collection, and donor reporting for multi-year programmes.

Also for:Programme managers who own M&E deliverables without dedicated M&E staff; postgraduate students in international development, public policy, or social sciences with M&E coursework; independent M&E consultants.

You’ll be able to

Design and refine theories of change and results frameworks using AI as a thinking partner
Develop indicator frameworks and data collection instruments with AI assistance
Apply AI tools to clean, analyse and triangulate programme data
Draft evaluation reports, learning briefs and donor updates that communicate findings with clarity
Structure learning reviews and adaptation processes that translate evidence into programme decisions

What’s inside

Diagnostic: How AI-ready is your M&E practice?
Chapter 1: State of Play — AI in Monitoring and Evaluation
Chapter 2: Theory of Change and Results Frameworks
Chapter 3: Designing Your Indicator Framework
Chapter 4: Monitoring Systems and Data Collection
Chapter 5: Data Quality and Management
Chapter 6: Analysis and Sense-Making
Chapter 7: Evaluation Design and Planning
Chapter 8: Reporting and Communicating Findings
Chapter 9: Learning, Adaptation and Accountability
Chapter 10: Your 90-Day M&E Action Plan
Back matter: Skill Summary · Recommended Next Reads · Glossary · Tool Reference

Built by an AI engineering firm for M&E professionals who know better evidence changes programmes — and want the capacity to produce it.

Appears in 6 bundles

IND-02The Finance AI Pack IND-07The Government & Public Sector Pack ROL-03The Researcher's AI Pack SKL-02The AI Research Pack SKL-04The AI Data & Reporting Pack STU-02The Postgraduate & Research Pack

Reads well with

Often packaged with this title.