Monitoring, evaluation and learning (MEL)

In complex, real-world settings, evaluation is more than a reporting requirement – it’s part of a continuous learning process. Effective MEL approaches support teams to reflect, adapt, and make sense of change as it unfolds. This means grounding evaluation in context, values, and relationships – not just metrics and performance indicators. These practices contribute to resilience by helping groups stay oriented amid uncertainty and respond in timely and collaborative ways.

Traditional approaches often focus on accountability or proving impact. But in dynamic systems where change is non-linear and outcomes are contested, MEL needs to enable learning, build shared understanding, and support adaptation over time. That includes embracing uncertainty, working with contribution rather than attribution, and embedding evaluative thinking from the outset.

Explore monitoring, evaluation and learning resources

The resources below support practical, learning-oriented approaches to monitoring, evaluation and learning in complex, collaborative settings. Some pages provide curated and annotated links to open-access tools, guides and frameworks from a range of organisations and practitioners. Others are my own reflections from practice on evaluation, design, learning and adaptation in long-term, multi-actor work.

Use this section to find the most relevant starting point, whether you are linking planning with evaluation, developing a Theory of Change, working with indicators or rubrics, designing complexity-aware MEL, or looking for evaluation approaches and reflective practice resources.

• If you are designing or reviewing a MEL approach
  Start with Linking planning with monitoring and evaluation for an introduction to planning, monitoring and evaluation as a connected learning cycle.
• If you are developing a programme logic or pathway of change
  Explore Theory of Change and Logic models for resources on clarifying assumptions, outcomes, activities and measures.
• If you are developing indicators or judging progress
  Go to Indicators and metrics and Rubrics for resources on selecting useful indicators, structuring judgement and supporting shared interpretation.
• If you are working in complex or changing settings
  Explore Complexity-aware monitoring, evaluation and learning for resources and reflections on contribution, uncertainty, sense-making and adaptation.
• If you want to strengthen reflection and learning
  Visit Reflective and reflexive practice for resources on learning from experience, surfacing assumptions and supporting collective insight.
• If you need evaluation tools and approaches
  See Evaluation types and questions and MEL approaches and tools for resources on evaluation questions, scope, methods, public engagement and participatory approaches.
• If you want reflections from practice
  Read Reflections on evaluation practice in complex, multi-actor settings for my own practice-oriented posts on evaluation, design, judgement, learning and continuity over time.

Browse the MEL resource areas

The starting points above are intended to help visitors move quickly into the part of the MEL material that best matches their current task. The sections below provide a fuller map of the MEL resources on this site, organised around the main areas of practice: planning, Theory of Change, rubrics, indicators, complexity-aware MEL, reflective practice, evaluation approaches, and reflections from practice.

Linking planning with monitoring & evaluation
Introduces planning, monitoring, and evaluation as a connected learning cycle that supports adaptive management. Covers situation analysis, outcome modelling, and the value of embedding learning throughout implementation. Anchors the wider evaluation section.

Theory of Change
Introduces Theory of Change as a structured and flexible way to clarify how change is expected to happen in complex initiatives. The linked hub page explains how ToC can support planning, reflection and evaluation, and points to practical guidance, related tools, applied examples and short reflections from practice.

• Theory of Change – resources and guidance – Curated and annotated links to open-access guides and frameworks that help teams explore pathways of change and link strategy with learning.
• Logic models – Explains how logic models can be used to structure programmes, clarify how change is expected to occur, and identify what to evaluate and when.
• How Decision Support Systems can benefit from a Theory of Change approach – A paper illustrating how ToC can be integrated with Decision Support Systems (DSS) to improve problem-framing and outcomes-based monitoring and evaluation.
• Using a Theory of Change to better understand your programme – A reflective post on using a ToC to surface assumptions, strengthen design, and support clearer conversations.
• More about outcomes and why they matter – A short reflection on the role of outcomes in strategy and evaluation and why they can be more elusive than expected.

Rubrics
Introduces rubrics as a structured yet flexible tool to support reflection, dialogue, and learning in complex initiatives. Highlights the use of single-point rubrics as a way to clarify shared expectations, prompt feedback, and guide adaptive practice – particularly in evaluation and participatory settings.

• Using rubrics to plan and assess complex tasks and behaviors – Post outlining the use of rubrics to help plan and assess complex tasks in areas such as community development and natural resource management.
• Single-point rubrics – Introduces single-point rubrics as simple tools for clarifying expectations, supporting feedback and guiding adaptive practice.

Indicators and metrics
This section brings together resources on developing and using indicators in complex, collaborative settings. It covers practical frameworks, conceptual models, and approaches to indicator selection, and explores how indicators connect to system understanding, programme design, and decision-making.

• Effective indicators for place-based initiatives   – A practical, downloadable guide to developing and using indicators in collaborative, multi-actor settings. It outlines a six-step process and connects indicators to system understanding, programme design, and decision-making.
• Indicator resources and frameworks – Curated and annotated links to open-access approaches, frameworks and tools for developing and using indicators in practice, across environmental, social and policy contexts.
• DPSIR (Drivers, Pressures, State, Impact, Response) – A structured framework that helps teams make sense of causal relationships and system dynamics in environmental and sustainability contexts.
• Climate adaptation metrics and resilience – Explores how adaptation is currently tracked at national and international levels, and where gaps remain in linking indicators to learning, equity, and decision-making.
• Climate variability on the world’s global aquifers – An example of using earth observation and monitoring data to understand and track complex water resource trends globally.

Complexity-aware monitoring, evaluation and learning
Brings together principles and tools for working in complex systems, including feedback loops, unpredictability, and diverse values. Supports evaluators, facilitators and teams to work with emergence and uncertainty rather than against it.

• Complexity-aware monitoring, evaluation and learning (CAMEL) – Explains how MEL shifts from proving impact to supporting learning, sense-making and adaptation in dynamic, multi-actor settings.
• Evaluation, design and continuity in long-term, multi-actor settings – Explores how evaluation, design and facilitation work together to support learning, continuity and adaptation across long-term, multi-actor initiatives.
• Evaluation in complex settings: reflections on practice and evaluator roles – Discusses how evaluators can support inquiry, reflection and adaptive decision-making where change unfolds slowly and unpredictably.
• When evaluation is also design: complexity, place, and continuity in multi-actor work [Post] – Explores complexity-aware evaluation as a design practice that supports learning, accountability and continuity over time, particularly in place-based work where programmes end but responsibilities persist.
• Working between systems and complexity: a practitioner’s guide – Explores how structure and emergence can complement each other, offering practical ideas for staying coherent while remaining adaptive.

Reflective and reflexive practice
Explores how individual and collective reflection can support deeper learning, stronger awareness, and more adaptive action. Highlights reflexivity as a core condition for systems change – helping practitioners examine assumptions, navigate complexity, and adjust strategies over time.

• Why reflection and reflexivity matter in a complex world – This post provides an introduction to reflection and reflexivity, includes practical strategies for integrating reflection and reflexivity into daily life and work.
• Reflective and reflexive practice resources – Curated and annotated links to open-access guides, tools and readings that support reflective and reflexive practice.

Evaluation strategies and approaches
Brings together a range of pages exploring different evaluation strategies, questions, and practice framings. Includes guidance on choosing appropriate evaluation types, tailoring evaluation to public engagement work, and considering scope, scale, and method.

• Evaluation types and questions – Outlines common evaluation types and provides tips for crafting questions that support learning, accountability, and decision-making.
• Evaluation approaches and MEL tools – Curates practical guidance on participatory, developmental, and complexity-aware MEL approaches, with links to widely used frameworks and toolkits.
• Evaluation scope and scale – Explores how to define the appropriate scope and scale for evaluation in dynamic settings, helping ensure relevance, usability, and proportionality.
• Evaluating public engagement – Focuses on evaluation approaches suited to public and stakeholder engagement initiatives, including guidance on outcome framing and feedback methods.

Reflections on evaluation practice in complex, multi-actor settings
A range of reflective posts on what evaluation looks like when settings are complex, long-term, and relational. These posts draw on my experience from place-based environmental programmes and multi-actor partnerships, exploring what this work asks of evaluators, how judgement and learning are sustained over time, and what happens at the boundaries of programmes, institutions, and relationships.

Quick answers to common questions

If you’re working in a similar space and would like support with facilitation, MEL, or process design, you’re welcome to get in touch. I’m particularly open to short, well-defined advisory, writing, or reflection support.

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[* Image by Gerd Altmann from Pixabay]