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HR / People Analytics · how-to

Predict Employee Churn from Organizational Network — in Google Sheets

A network-driver 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

convert the network into quantitative signals per person

=formula   // "derived", fill down

JOIN · mechanical

link network position to who stayed or left

=XLOOKUP(key, lookup_key, return_col)

CORRELATE

identify which network signals predict staying

=CORREL(driver_j, outcome)

FIT-CLASSIFIER

model resignation odds from connectedness and context

Google Sheets can’t do this cleanly

FIT-CLASSIFIER has no clean sheets form —

PREDICT

flag well-connected people worth retaining

= 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 — §17.8/17.9 ONA graph metrics & churn

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.