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Aggregate Compa-Ratio

Average rate actually paid over a population divided by the range midpoint — a manager-drift detector. <1 = paying below intent; >1 often from longer tenure / few new hires / low promotion. Computable per range, unit, function, or org (distinct from the employee-grain compa-ratio).

How it’s computed

mean(rates_paid) / range_midpoint

What the evidence shows

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

What this metric can show you

Aggregate Compa-Ratio can tell roughly 22 pre-built stories — each a designed scene the data either confirms or it doesn’t. Bring your numbers and the Story Finder runs every one of these shapes against them.

specific to compensation & benefits

ABCDE

A real gradient — now ask if it's pointed at value

compensation · T1

ABCDE

Below the market, across the board

compensation · T1

ABCDE

One group sits apart on a decision that should be neutral

fairness-equity · T1

Pay is drifting from plan

compensation · T1

universal shapes — any single metric can take these

A few large values are doing the talking

any focus · T1

A one-time event, not a trend

any focus · T1

It doesn't track — the premise is false

any focus · T1

ABCDE

It's concentrated — one group stands apart

any focus · T1

Scenes are pre-built; your data is the toggle. Browse the full deck or watch one play end-to-end in The Quiet Exodus.

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.

  • 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 66%

  • 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 65%

  • 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 64%

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