Embedding Learning in
Systems Change
A practical framework for testing uncertainties in systems change strategies + five guidance briefs that bring each element to life.
Systems change strategies are dynamic, context-driven, and unpredictable. Conventional learning and evaluation approaches built around static metrics and linear outcomes do not fit this kind of work. This framework does.
It offers a decision-oriented approach grounded in systems thinking: start with hypotheses, surface assumptions, develop learning questions, collect confirming and disconfirming evidence, and build in routine sensemaking and reflection.
The Framework’s Five Connected Elements
Download the Briefs
Start with the full framework brief, then explore the five element-level guidance documents.
Embedding Learning in Systems Change:
A Learning Framework for Testing Uncertainties
Presents the complete Learning Framework: its systems thinking principles, five connected elements, and how they work together in practice. Intended for learning and evaluation practitioners working on systems change strategies.
Hypotheses
How to develop testable “if-then” statements about cause and effect that anchor your learning process and probe uncertainties in your strategy.
Assumptions
How to surface and articulate the beliefs that underpin your hypotheses — covering cause and effect, implementation, and context — and prioritize which to monitor.
Learning Questions
How to develop forward-looking, action-oriented questions that focus evidence collection on your highest-priority uncertainties and keep inquiry within your sphere of influence.
Confirming & Disconfirming Evidence
How to collect evidence across multiple types and perspectives, including evidence that challenges your thinking, to build a clear picture of what is happening.
Routine Sensemaking & Reflection
How to close the loop by designing learning conversations and embedding reflection into everyday routines so evidence actually connects to strategic decisions.