Preview. This page currently shows the analysis skeleton. The full worked walkthrough — sample dataset, connected steps, runnable code, interpretation — is being built.
HR / People Analytics · how-to
Flight Risk — predict which employees will resign — in Google Sheets
A turnover-prediction analysis. Every step below is the same analysis rendered for Google Sheets — grounded in the source, honest where Google Sheets can't do a step cleanly.
Same analysis, your tool
DERIVE
logistic regression needs numeric inputs; encode categoricals
=formula // "derived", fill downCORRELATE
screen which variables actually track turnover before modeling
=CORREL(driver_j, outcome)FIT-CLASSIFIER
estimate the equation linking predictors to probability of resigning
Google Sheets can’t do this cleanly
FIT-CLASSIFIER has no clean sheets form —
VALIDITY · mechanical
confirm each predictor contributes reliably
=CORREL(measure, criterion)PREDICT
score each employee's likelihood of leaving to prioritize retention
= const + b1*x1 + … (fill down)Honest note: Google Sheets can’t do 1 of these steps cleanly — the switcher shows which tools can.
Grounded in
Predictive HR Analytics with Excel, Sec 19.8 Logistic Regression: Predict Staff Resignation (also 12.4, 17.9)
Doing HR / People Analytics work?
The full HR / People Analytics guide covers this and the whole workflow around it — reconciled from the field’s best books.
Want to run it, not read it?
Run this analysis live on your data, in Google Sheets or any tool — powered by the Stepcode engine.