M&E Guides

Learn the method, make a choice, or find the right M&E resource for proposal work. Practical guidance without requiring AI.

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Method guides explain how to do the work. Decision guides help you choose an approach.

How to Design an Evaluation

Choose an evaluation purpose, design type, methodology, and sampling approach. Includes a TOR checklist and downloadable templates.

Method guide · Evaluation

How to Build a MEL Plan

A step-by-step workflow from learning questions to a results framework, indicator plan, and data collection schedule.

Method guide · Planning

How to Collect M&E Data

Choose between household surveys, focus group discussions, and key informant interviews. Includes instrument templates.

Method guide · Data

How to Ensure Data Quality

A data quality assurance guide covering the five quality dimensions, indicator quality, and a practical DQA process.

Method guide · Data Quality

How to Analyze M&E Data

Turn M&E data into program decisions: assess quality, clean the dataset, build a learning agenda, and run decision sprints.

Method guide · Analysis

Baseline vs Endline vs Midline Surveys Explained

When you need baseline, midline, and endline surveys, what they collect, and what to do when you missed your baseline.

Decision guide · comparison

Common Sampling Mistakes in M&E

The eight sampling mistakes that undermine M&E data quality: wrong frames, ignored design effect, field substitution errors, and analysis overclaims.

Decision guide · how-to-choose

Custom vs Standard Indicators: Which to Use and When

Most M&E systems need both. Standard indicators satisfy donor compliance and comparability; custom indicators capture what is specific to your program. Here is how to mix them without doubling the reporting load.

Decision guide · how-to-choose

Design Effect Explained: What It Is and How to Apply It

Design effect (DEFF) is the correction that keeps cluster sample sizes honest. Here is what it is, the typical values in M&E, and how to apply it before fieldwork.

Decision guide · how-to-choose

Evaluation Ethics Checklist: What to Cover Before Fieldwork

Informed consent, confidentiality, risk minimization, ethics approval, and the specific protocols every evaluation needs before a single interview is conducted.

Decision guide · how-to-choose

How Much Should You Budget for M&E?

The 5-10% rule explained, evaluation cost ranges by type, budget breakdown templates, and how to negotiate when the M&E budget is too small for what the donor is asking.

Decision guide · how-to-choose

Stuck on a Choice?

Decision Guides cover the trade-offs M&E teams hit most often: logframe vs theory of change, output vs outcome vs impact, and dozens more.

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Looking for the AI Angle?

For step-by-step AI workflows on the same topics, head to AI for M&E.

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