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

Engagement Drivers — what moves sales/income — in DAX (Power BI)

A key-driver analysis. Every step below is the same analysis rendered for DAX (Power BI) — grounded in the source, honest where DAX (Power BI) can't do a step cleanly.

Same analysis, your tool

CORRELATE

see which outcomes engagement tracks with before claiming impact

-- Pearson r has no native DAX fn; build a measure: DIVIDE(SUMX(d,(x-x̄)(y-ȳ)), SQRT(SUMX(d,(x-x̄)²)*SUMX(d,(y-ȳ)²)))  [AvgEngagementScore] vs [CustomerSatisfaction,RevenuePerStaff,OperatingIncomePerStaff]

REGRESS

estimate how much engagement moves sales holding advertising constant

DAX (Power BI) can’t do this cleanly

REGRESS has no clean dax form —

VALIDITY · mechanical

confirm the driver model is statistically sound

-- criterion validity = Pearson measure of [measure] vs [criterion] (see CORRELATE)

RANK · mechanical

order drivers so the strongest lever is obvious

RANKX(ALL('Data'), [coefficient magnitude], , DESC)

PREDICT

quantify the payoff of raising engagement (the Best Buy $100k logic)

Score = [b0] + [b1]*[x1] + [b2]*[x2]   -- apply the fitted coefficients (calc column)

Honest note: DAX (Power BI) can’t do 1 of these steps cleanly — the switcher shows which tools can.

Grounded in

Predictive HR Analytics with Excel, Sec 15.4-15.5 Analyze Engagement (correlation + multiple regression)

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 DAX (Power BI) or any tool — powered by the Stepcode engine.