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Compa-Ratio Drift

Distribution of employees across compa-ratio bands pre- vs post-cycle, with per-band deltas.

How it’s computed

post_cycle_band_counts - pre_cycle_band_counts (per compa-ratio bucket)

What the evidence shows

Evidence (effect sizes, priors, validity) is syncing from Principia.

Run it on your data

This metric is computed in the People Analytics Toolbox on your own numbers. See pricing — posted, no quotes.

sources: toolbox:metrics-catalog

What the literature says

The measurement literature behind this signal — sourced, so you can defend it.

  • If the average market-ratio for employees in location A is 0.6 (below market), while the average market-ratio for employees in location B is 1.4 (percent above market) -> it shows that you’re paying too high in location B and too low in location A - These market-ratios explain…

    Predictive HR Analyticsmatch 53%

  • In some cases, paying above 1.2 market-ratio is ok if your employee has many years of relevant experience, and unique skillsets. If you have difficulty keeping and hiring employees in location A, but you can’t get rid of employees in location B. You can calculate the average…

    People Analytics Text Mining with Rmatch 53%

  • What is a Compa-ratio and How Do You Calculate it?In chapter 5, I talked about the market ratio, as in how well your internal pay compares to the market rate. Now I want to explain something called the compa -ratio , which is the relationship of your actual pay to the midpoint…

    Pay Mattersmatch 51%

Resources: Predictive HR Analytics · People Analytics Text Mining with R · Pay Matters