Insights
Practical reflections on evidence use, MERL system design, theory of change and adaptive management.
Resource Center
Explore insights, learning briefs, reports, tools and templates designed to support clear thinking, practical learning and evidence-informed programme management.
The Resource Center brings together guidance on MERL systems, impact measurement, theory of change, data quality, strategic reporting, research methods and adaptive management.
Resource Categories
Each category is designed for teams that need practical guidance they can apply during planning, monitoring, reporting and learning cycles.
Practical reflections on evidence use, MERL system design, theory of change and adaptive management.
Short briefs that translate implementation learning into clear actions for programme teams and partners.
Guidance on structuring reports that communicate findings, limitations and recommendations credibly.
Practical tools for reviewing systems, facilitating learning meetings and improving data quality.
Knowledge Library
Use these resources to strengthen monitoring systems, improve evidence quality, guide reflection and communicate results with clarity.
A useful MERL system does more than collect indicators for a donor report. It gives programme teams a shared way to understand progress, compare evidence, identify risks, and make timely decisions. Many systems become burdensome because they are designed around what can be measured rather than what managers,...
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Data quality is often treated as an audit concern, but it is also a management concern. When quality checks are limited to error lists, teams may correct records without addressing the underlying reason the errors occurred. A strong review looks at accuracy, completeness, timeliness, consistency, and integrity, then...
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A theory of change should not disappear into an inception report after approval. It should guide planning, monitoring, evaluation, learning, and adaptation throughout implementation. When teams revisit the theory regularly, they can examine whether assumptions still hold, whether pathways are unfolding as expected, and whether emerging evidence suggests...
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