how-to · evidence-based answer
How do I run a driver analysis on engagement survey data?
The short answer
A driver analysis models which survey conditions actually predict the outcome you care about — engagement, quit intention, performance — instead of ranking items by score. Use relative-importance methods on validated items against a defined criterion, and act on the strongest drivers, not the loudest themes. A low score is not a driver; a predictor is.
The problem underneath
Survey teams report topline scores but rarely model which conditions actually move them; without relative-importance analysis on validated items, action planning targets the loudest theme rather than the strongest driver.
The evidence
- Eight research arcs spanning behavioral science → analytics craft
- The AI × people-analytics capability encyclopedia
- 40+ citation-grade insight cards
- The translated corpus
- The source-graded, citation-verified organizational-science registry
- Effect-size / validity findings
Every claim on this site traces to a graded source — see the proof graph.
Go deeper
Related questions
- What actually drives our engagement scores — how do I find the key drivers in my survey?
- How to identify which survey items predict engagement or attrition outcomes
driver analysiskey driver analysisengagement surveyrelative importancepeople analytics