Skip to main content
M&E Studio
Home
AI for M&E
GuidesWorkflow GuidesPromptsPlugins
Resources
Indicator LibraryReference LibraryM&E Method GuidesDecision GuidesTools
Services
About
ENFRES
M&E Studio

AI for M&E, Built for Practitioners

About

  • About Us
  • Contact
  • Insights
  • LinkedIn

Services

  • Our Services

AI for M&E

  • Guides
  • Prompts
  • Plugins
  • Insights

Resources

  • Indicator Library
  • Reference Library
  • Downloads
  • Tools

Legal

  • Terms
  • Privacy
  • Accessibility

© 2026 Logic Lab LLC. All rights reserved.

  1. M&E Library/
  2. Topics/
  3. Design
Topic Hub

Design

Frameworks and design artifacts for M&E systems: theories of change, logframes, results frameworks, logic models, and results chains.

25
Reference entries
8
Decision guides
4
AI guides
How to Use AI to Write a MEL Plan
A MEL plan is the most requested M&E deliverable, and the most time-consuming to write from scratch. AI can draft the structure, populate indicator tables, and flag gaps, but only if you guide it section by section.
›
Decision GuidesReference LibraryAI GuidesOther Topics
25 entries8 guides

How Do I Choose?· 8

Side-by-side comparisons, decision trees, and practical guidance for common M&E decisions.

How Do I Choose?

Side-by-side comparisons, decision trees, and practical guidance for common M&E decisions.

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.
Comparison
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.
How to Choose
How to Choose an Evaluation Methodology
A decision framework for choosing evaluation design. Covers experimental, quasi-experimental, and non-experimental approaches.
Decision 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.
How to Choose
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 to Choose
Logframe vs Theory of Change
Two frameworks everyone confuses. When you need a logframe, when you need a Theory of Change, why most programs need both, and which donors require which.
Comparison
Output vs Outcome vs Impact: The Key Difference
The most common confusion in M&E. Learn the difference between outputs, outcomes, and impact with clear examples from health, education, and food security programs.
Comparison
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.
Comparison

Reference Library· 25

In-Depth Guides (5)

In-Depth Guide
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.
In-Depth Guide
Outcome Mapping
A participatory planning and monitoring approach that tracks behaviour changes in the people, groups, and organisations a programme works with directly, rather than long-term development outcomes.
In-Depth Guide
Results Framework
A structured collection of indicators organized by results level that tracks programme performance across a portfolio, focusing on what changed rather than what was delivered.
In-Depth Guide
Results-Based Management
A management approach that focuses organisational decisions, resources, and accountability on achieving defined results, using evidence from monitoring and evaluation.
In-Depth Guide
Theory of Change
A structured explanation of how and why a set of activities is expected to lead to desired outcomes, mapping the causal logic from inputs to impact.

Overviews (5)

Adaptive Management
A management approach that uses continuous learning from monitoring and evaluation data to adjust programme strategies and activities in response to changing evidence or context.
M&E Plans
A detailed operational document that translates your logframe and theory of change into actionable M&E requirements, specifying what data to collect, when, from whom, and how it will be used.
M&E System Design
A structured approach to building the organizational infrastructure, processes, and capacities needed to collect, analyze, and use M&E data for decision-making throughout a programme's life.
Needs Assessment
A systematic process for identifying and analyzing gaps between current conditions and desired outcomes, establishing the evidence base for programme design and indicator selection.
Stakeholder Analysis
A structured process for identifying all parties with an interest in a programme, mapping their roles, influence, and information needs, and informing how M&E should engage them.

Quick Reference (15)

ActivityAssumptionsDonor RequirementsInputIntervention LogicM&E BudgetM&E FrameworkOutcomeOutputPerformance ManagementProgramme TheoryReal-Time MonitoringResults ChainRisks and Risk MitigationScope of Work

AI Guides· 4

Step-by-step workflows for using AI in your M&E work.

AI Workflow
How to Use AI to Write a MEL Plan
A MEL plan is the most requested M&E deliverable, and the most time-consuming to write from scratch. AI can draft the structure, populate indicator tables, and flag gaps, but only if you guide it section by section.
AI Workflow
How to Use AI to Design an M&E Framework
Logframe, results framework, outcome mapping, or something else? AI can help you choose the right structure and populate it, but you need to tell it what decisions the framework must support.
AI Workflow
How to Build a Theory of Change with AI
Stop drawing boxes and arrows that nobody believes. A 4-step workflow that uses AI to surface hidden assumptions, stress-test causal logic, and produce a ToC your donors trust.
AI Workflow
How to Write a Logframe with AI
AI can build a first-draft logframe from your project brief in minutes. The challenge is knowing how to review it, fix it, and make it defensible to your donor.

Explore Other Topics

Evaluation
Design, commission, and manage evaluations
Data Collection & Quality
Methods, tools, DQAs, cleaning, and validation for field data
Indicators
Select, design, track, and report on indicators
Sampling
Sample size, sampling methods, design effect, and common mistakes
Analysis
Quantitative and qualitative analysis, coding, statistics, and mixed methods