Ready to Rethink Impact? This isn’t just theory. It’s a living, breathing ME&I Mission Statement – and you can help shape it. Connect with project lead Susan to explore, contribute, and apply it in your own work.
What's wrong with 'business-as-usual' ME&I
Mapping the Messy: Rethinking Impact in Climate Activism
A NEW APPROACH
THE CHALLENGE
WHY THIS MATTERS
Traditional Monitoring, Evaluation & Impact (ME&I) models assume change is neat, planned, and trackable. But climate activism doesn’t work like that. Social movements are unpredictable, emotional, relational, and constantly adapting. Measuring impact with rigid indicators often misses what really matters.
For funders
Research
Key principles
For policymakers
Relationships are impact
Embrace uncertainty
Impact is iterative
For activists
Let’s make room for change that’s real, not just reportable.
Assumes change is linear and can be mapped in advance
Prioritises measurable outcomes over meaningful ones
Penalises experimentation, risk-taking, and learning
Ignores trust, relationships, and emergent dynamics
Mapping the Messy: Rethinking Impact in Climate Activism
Laura Evans
Created on May 11, 2025
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Transcript
Ready to Rethink Impact? This isn’t just theory. It’s a living, breathing ME&I Mission Statement – and you can help shape it. Connect with project lead Susan to explore, contribute, and apply it in your own work.
What's wrong with 'business-as-usual' ME&I
Mapping the Messy: Rethinking Impact in Climate Activism
A NEW APPROACH
THE CHALLENGE
WHY THIS MATTERS
Traditional Monitoring, Evaluation & Impact (ME&I) models assume change is neat, planned, and trackable. But climate activism doesn’t work like that. Social movements are unpredictable, emotional, relational, and constantly adapting. Measuring impact with rigid indicators often misses what really matters.
For funders
Research
Key principles
For policymakers
Relationships are impact
Embrace uncertainty
Impact is iterative
For activists
Let’s make room for change that’s real, not just reportable.
Assumes change is linear and can be mapped in advance
Prioritises measurable outcomes over meaningful ones
Penalises experimentation, risk-taking, and learning
Ignores trust, relationships, and emergent dynamics