Statistical analysis of employee behavior, satisfaction, and performance metrics leveraged survey data and organizational records to identify key drivers of employee engagement, retention, and productivity across diverse workplace settings.
The decision behind the question
A client wanted to understand what actually drove engagement and productivity across very different workplace settings, rather than relying on a single company-wide survey score.
Data and methods used
Survey responses and organizational records were combined, with prediction models ranking engagement drivers and semantic analysis reading open-ended comments into themes supported by quotations.
What the analysis found
- •Engagement drivers differed by work setting, so a company-wide average masked opposite trends in two groups.
- •Workload predictability outranked compensation as a driver in the settings with the lowest scores.
- •Open comments surfaced a recurring theme about tooling that no closed survey question had captured.
What changed as a result
Engagement reporting moved to a per-setting view, and the tooling theme raised in comments was investigated as its own workstream.
Related work is grouped under Market Research, and the methods used here are described in more detail under analytical capabilities.
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