Analysis · Engagement

Measuring Engagement Impact

Engagement surveys are everywhere. The question is whether the score actually moves productivity or turnover. This page lets the data answer, department by department.

+0.07
strongest positive correlation (Marketing)
-0.19
strongest negative correlation (Engineering)
3,000
employee records in the sample

Engagement and productivity

Productivity by engagement score

Correlation by department

In this sample, engagement barely tracks productivity anywhere: every department is between −0.19 and +0.07. The original page called Marketing’s 0.07 a sign of “noticeable productivity gains”; the data doesn’t support that, so the claim is gone. Engineering’s slight negative relationship is the one worth a closer look.

Monthly turnover

Turnover rate by month

Turnover in this synthetic sample is unrealistically high (around 50% a month), so read it for shape, not level.

Takeaway

A survey score on its own is a weak lever. Pair engagement with the things it should change (manager quality, workload, growth) and test interventions, rather than assuming a higher score means higher output.

About the data. Every point is from the synthetic sample embedded in the original interactive page. Correlations are recomputed from those points; the original page only quoted Marketing’s figure (0.07), which matches.

Rebuilt from:

  • interactive_cases_refined/engagement_impact_case.html (employee-level sample, monthly turnover)

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