Most Significant Change (MSC) Technique
Most Significant Change is a participatory monitoring and evaluation technique based on collecting stories of change from people involved in a programme and having groups deliberately select the most significant ones. It captures outcomes nobody predicted and makes the values behind judgements explicit.
When you can't tell if your sessions are actually working
You need to measure impact beyond satisfaction surveys and understand if learning is actually being applied.
When a programme's outcomes vary between people, are hard to predict in advance, or are not captured by indicators, and when you want stakeholders to discuss what success means.
Raise interest and define domains
Agree why you are using MSC and set a few broad domains of change, such as changes in people's work or relationships.
Set the reporting period
Decide how often stories are collected, for example monthly or after each programme phase.
Collect stories of change
Ask participants and stakeholders: 'Looking back, what was the most significant change?' and why it matters to them. Record the story and the reason.
Select the most significant stories
Panels at different levels read the stories and discuss which is most significant and why, recording their reasons.
Feed back the results
Tell storytellers and stakeholders which stories were chosen and why, so values and priorities become visible.
Verify, quantify and review
Check selected stories where needed, add any counts, and review what the process reveals about the programme.
Shows real ROI and helps you continuously improve your sessions.
Build an MSC question into follow-up sessions or check-ins after a programme, and run a short selection panel with stakeholders as part of a review workshop. The selection discussion is itself a learning activity.
- 1Define success metrics before the session
- 2Build in micro-assessments throughout
- 3Follow up after to measure behavior change
- 4Use data to iterate on your design
- Development and community programmes
- Leadership and long-term learning programmes
- Complex change initiatives
- Programme reviews with stakeholders
- Let participants define what change matters
- Stories plus the reason they matter
- Transparent selection with recorded reasons
- Feedback closes the loop
- Deliberately biased towards significant, often positive, stories; combine with other methods for a full picture.
- Story collection and selection take time and facilitation skill.
- Not designed to measure average effects or attribute causality on its own.