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  1. M&E Library/
  2. Decision Guides/
  3. How to Write Evaluation Terms of Reference
M&E How-to Guide

How to Write Evaluation Terms of Reference

A practical guide to writing evaluation TORs that get you a good evaluation. Scoping, evaluation questions, methodology expectations, timelines, budgets, and evaluator selection.

8
TOR sections
15-item
Template checklist
6
Common mistakes
Key Takeaway
Start with evaluation use, not methodology
Write evaluation questions that someone will act on. Specify approach without over-prescribing method: that's what you're hiring the evaluator for.

Who This Page Is For

You need to commission an evaluation. Maybe it is a final evaluation required by your donor agreement. Maybe it is a mid-term review your team decided to conduct. Either way, you need to write an evaluation TOR that attracts qualified evaluators and gives them enough direction to deliver useful findings.

A weak TOR produces a weak evaluation. If the scope is vague, the evaluator will define it for you, and you may not like their choices. If the evaluation questions are unfocused, you will get a 60-page report that answers nothing actionable. This guide walks you through each section of a TOR and tells you exactly what to include.

Before You Write: Answer the Use Question

Before drafting a single section, answer this question: Who will act on the findings, and how?

If you cannot answer that, you are not ready to write a TOR. You are commissioning a report that will sit on a shelf. Run the Evaluation Readiness assessment first.

Write down the specific decisions the evaluation will inform. "The country director will use findings to decide whether to scale the livelihood component to three additional districts" is a use statement. "We will learn about program effectiveness" is not.

This use statement shapes everything that follows: the evaluation questions, the methodology, the timeline, the audience for the report. Write it first. Put it in the TOR. Reference it when you review the evaluator's inception report.

The 8 Sections of an Evaluation TOR

1. Background and Context

Provide enough context for an external evaluator to understand the program without reading 200 pages of project documents.

Include:

  • Program name, duration, geographic scope, and implementing partners
  • Target population and approximate reach
  • Total budget and funding source (without naming specific donors if confidentiality applies)
  • A 2-3 sentence summary of the program's theory of change
  • Key contextual factors the evaluator needs to understand (conflict, COVID disruption, policy changes)

Avoid: Pasting the entire project description from the proposal. The evaluator does not need five pages of background. They need one page that orients them, plus a list of key documents you will share during inception.

Write this: "The program operates in 12 districts across two regions, targeting 15,000 smallholder farming households. It aims to increase household food security through improved agricultural practices, market access, and nutrition behavior change."

Not this: "The project, which commenced in January 2023, is a multi-sectoral integrated development initiative that leverages synergies across agriculture, nutrition, and market systems to address the root causes of food insecurity among vulnerable populations in rural areas."

2. Evaluation Purpose and Use

State why this evaluation is happening and what decisions it will inform. This is where your pre-writing use statement goes.

Include:

  • The primary purpose: accountability (proving results), learning (improving the program), or both
  • The specific decisions the evaluation will inform
  • The primary audience: program team, senior leadership, donor, government partners, beneficiaries
  • How findings will be disseminated and used

The test: If you remove this section and the evaluation still makes sense, the section is too generic. It should be impossible to swap this purpose statement into a different program's TOR without rewriting it.

3. Scope and Evaluation Questions

This is the hardest section and the most important one. Get the evaluation questions wrong and nothing else matters.

Scope defines boundaries. Specify:

  • Time period covered (full program, last two years, specific phase)
  • Geographic coverage (all sites or a sample)
  • Thematic coverage (all components or specific ones)
  • Evaluation criteria to be addressed (relevance, coherence, effectiveness, efficiency, impact, sustainability)

Evaluation questions define what the evaluator must answer. Rules:

  • 3-8 questions maximum. Each question costs money to answer well. Eight questions with a $40,000 budget means $5,000 per question. That is barely enough for one method per question. Prioritize ruthlessly.
  • Each question must be answerable. If you ask "What was the program's impact on household food security?" but your budget cannot support a comparison group or counterfactual analysis, the evaluator cannot answer that question credibly. Match questions to methodology and budget.
  • Each question must be actionable. Ask yourself: if the evaluator answers this question, will someone do something differently? If not, cut it.
  • Organize questions under evaluation criteria. This helps evaluators structure their matrix and helps you confirm coverage.

Write this: "To what extent did the agricultural training component lead to adoption of improved farming practices among targeted households, and what factors enabled or hindered adoption?"

Not this: "What was the impact of the program?"

See how to design an evaluation to test whether your questions, methodology, and budget are aligned before finalizing the TOR.

4. Methodology Expectations

Set expectations without designing the evaluation yourself. The evaluator's job is to propose a detailed methodology in the inception report. Your job is to define the boundaries.

Include:

  • General approach expected: mixed methods, theory-based, quasi-experimental. See How to Choose Evaluation Methodology.
  • Non-negotiable requirements: comparison group, minimum sample size, specific disaggregation (gender, age, disability status), participatory methods
  • Data sources available: existing monitoring data, baseline reports, program databases
  • Expected data collection methods (surveys, key informant interviews, focus groups, document review)
  • Ethical requirements: informed consent, data protection, IRB approval if needed

Avoid: Specifying the exact sample size, sampling strategy, and analytical framework. That is the evaluator's expertise. If you prescribe every detail, you are not hiring an evaluator. You are hiring a data collection firm.

The balance: "We expect a mixed-methods approach combining a household survey (minimum 400 households, disaggregated by gender of household head) with qualitative interviews and focus groups across at least 6 of the 12 program districts." That gives enough direction without designing the study.

5. Deliverables and Timeline

Be specific. Vague timelines produce delayed evaluations.

Standard deliverables:

DeliverableTypical Timeline
Inception report (detailed methodology, workplan, tools)2-3 weeks after contract signing
Draft data collection toolsWith inception report
Fieldwork completion3-6 weeks after inception approval
Draft evaluation report2-3 weeks after fieldwork
Presentation of preliminary findingsWith or before draft report
Final evaluation report2 weeks after receiving comments
Clean datasets and codebooksWith final report
Management response templateWith final report

Include: Total calendar duration from contract to final report. Build in time for your team to review and comment on the inception report and draft report. Those review periods often take longer than the evaluator's work.

Avoid: Setting a timeline that makes quality impossible. A final evaluation with primary data collection in under 8 weeks total is unrealistic. If the donor deadline forces a compressed timeline, say so explicitly and adjust scope accordingly.

6. Evaluator Qualifications

Specify what you need. Be concrete.

Required qualifications (typical):

  • Advanced degree in a relevant field
  • Minimum years of evaluation experience (7-10 for team lead)
  • Experience with the specific methodology you expect
  • Sector expertise (food security, health, education, governance)
  • Regional or country experience
  • Language requirements (for the team, not necessarily the lead)

Selection criteria and weighting:

CriterionSuggested Weight
Technical approach and methodology30-40%
Team qualifications and experience25-30%
Understanding of context and evaluation questions15-20%
Budget and value for money15-20%

Avoid: Requiring 15 years of experience in the exact sub-sector in the exact country. You will eliminate strong candidates and end up with one applicant. Require core skills and weight relevant experience in the scoring.

7. Budget

You have two options: state a fixed budget ceiling or ask evaluators to propose their own. Each has tradeoffs.

Fixed ceiling: Evaluators design within your constraints. You get comparable proposals. Risk: evaluators cut corners to fit the budget.

Open budget: You see what a quality evaluation actually costs. Risk: proposals range from $20,000 to $200,000 and you cannot compare them.

Recommended approach: State a budget range. "The available budget for this evaluation is $40,000-55,000, inclusive of all costs." This anchors proposals and still allows variation.

Include what the budget must cover: evaluator fees, travel, data collection (enumerators, translations, logistics), report production, and any specific costs like IRB fees.

8. Management and Ethics

Management arrangements:

  • Who manages the evaluation (M&E Manager, program director, steering committee)?
  • Who is the primary point of contact?
  • What documents and data will be shared with the evaluator?
  • How will comments on deliverables be consolidated (one document, not 10 separate emails)?
  • Who approves the inception report, draft report, and final report?

Ethical requirements:

  • Informed consent protocols
  • Data confidentiality and storage
  • Do-no-harm considerations, especially for vulnerable populations
  • Safeguarding requirements
  • IRB or ethics committee approval if required by your organization or donor

Do not skip ethics. If your organization has a research ethics policy, reference it. If it does not, state the minimum standards you expect.

Common Mistakes

Mistake 1: Writing evaluation questions after the methodology is decided. The questions come first. The methodology serves the questions. If you start with "we want a quasi-experimental evaluation" and then write questions to justify it, you will end up with questions shaped by the method rather than by what you need to know.

Mistake 2: Asking too many evaluation questions. Every question you add dilutes the depth of every other question. With a $50,000 budget and 10 questions, you are paying $5,000 per question. That buys a shallow answer. Five focused questions with $10,000 each gets you useful evidence.

Mistake 3: No use plan. If the TOR does not explain who will use the findings and how, the evaluation becomes an expensive compliance exercise. Write the use plan before you write the evaluation questions. The questions should generate the evidence the decision-makers need.

Mistake 4: Timelines that make quality impossible. Asking for a final evaluation with primary data collection, analysis, and reporting in 4 weeks is asking for a bad evaluation. Build in adequate time for inception, fieldwork, analysis, drafting, review, and revision. If the timeline is non-negotiable, reduce the scope to match.

Mistake 5: Specifying every methodological detail. If you prescribe the sample size, sampling frame, analytical framework, and interview guides, you are not commissioning an evaluation. You are hiring data collectors. Set expectations and constraints. Let the evaluator propose the design. Evaluate their proposal on its technical merit.

Mistake 6: Forgetting the inception report. The inception report is where the evaluator translates your TOR into a concrete plan. If your TOR does not require one, the evaluator will go straight to fieldwork using whatever interpretation of your questions they prefer. Always require an inception report with a review and approval step before fieldwork begins.

TOR Checklist

Use this before you circulate the TOR.

  • Background is concise (1 page max) and includes program theory of change summary
  • Evaluation purpose states specific decisions the findings will inform
  • Primary audience is named
  • Scope boundaries are explicit (time period, geography, thematic areas, evaluation criteria)
  • Evaluation questions are 3-8 in number, each answerable and actionable
  • Methodology section sets expectations without prescribing the full design
  • Non-negotiable requirements are clearly flagged (comparison group, disaggregation, sample minimums)
  • Deliverables list includes inception report with approval gate before fieldwork
  • Timeline is realistic (minimum 8-12 weeks for evaluations with primary data collection)
  • Evaluator qualifications are specific but not exclusionary
  • Selection criteria and weighting are stated
  • Budget range is provided or ceiling is stated
  • Ethics and safeguarding requirements are included
  • Key documents list is attached (what the evaluator will receive)
  • Review and approval process for each deliverable is described

Frequently Asked Questions

Try it in M&E Studio

Find the right method
Data Collection Method Selector
Check if your program is ready
Evaluation Readiness Quiz

Related decision guides

How to Choose an Evaluation Methodology
A decision framework for choosing evaluation design. Covers experimental, quasi-experimental, and non-experimental approaches.
How to Write the M&E Section of a Proposal
A step-by-step guide to writing the M&E, MEL, or MEAL section of a program proposal. What to include, how to structure it, and the mistakes that get proposals rejected.
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.
Qualitative vs Quantitative vs Mixed Methods
Qualitative, quantitative, and mixed methods are not a quality ranking. They answer different questions. Here's when to use each, how to combine them, and what integration actually looks like.
The DAC Evaluation Criteria Explained
The six OECD-DAC evaluation criteria explained: what each means, which ones to use, and how to write evaluation questions for each.

Key concepts explained

Evaluation Terms of Reference
A formal document that defines the scope, objectives, methodology, and requirements for an evaluation, serving as the primary contract between the commissioning organization and the evaluation team.
Evaluation Criteria (DAC)
The OECD-DAC framework provides six standard criteria, relevance, coherence, effectiveness, efficiency, impact, and sustainability, for systematically assessing the merit and value of development interventions.
Evaluation Matrix
A structured mapping document that links each evaluation question to its data sources, collection methods, indicators, and analysis approach, the operational blueprint for executing an evaluation.
Evaluation Questions
The overarching questions an evaluation will investigate, distinct from survey or interview questions.
Mixed Methods Evaluation
An evaluation approach that systematically combines quantitative and qualitative data to provide a more complete understanding of program effects, mechanisms, and context.
Inception Report: What It Is and What to Include
An inception report is the first formal deliverable from an evaluation team: confirming the refined methodology, workplan, and analytical approach before fieldwork begins. This guide covers what it contains and why it matters.

Explore the topic

Design
Frameworks and design artifacts for M&E systems: theories of change, logframes, results frameworks, logic models, and results chains.
Evaluation
Everything you need to design, commission, or manage an evaluation. From choosing the right type to writing a TOR to selecting methods and analyzing findings.
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