← HR Metrics·Workforce Composition
Terminations (Period)
Number of employee separations during the period
How it’s computed
COUNT(employees WHERE term_date IN period)
What the evidence shows
Evidence (effect sizes, priors, validity) is syncing from Principia.
What this metric can show you
Terminations (Period) can tell roughly 25 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 workforce composition
{mover} is becoming a bigger share of who you are
workforce-composition · T1
{mover} is fading from the mix
workforce-composition · T1
A few people hold the whole network together
org-networks · T1
One unit is over-managed
workforce-composition · T1
Spans are stretched thin in one corner
workforce-composition · T1
The mix is holding steady
workforce-composition · T1
The organization you have isn't the one you had
workforce-composition · 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
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.
“Whereas in the past, many doctors believed that fresh air and “bloodletting” was a useful solution for illness, today they have a more focused and data-driven approach. It’s also the same with employee attrition. Now, with the help of people analytics, you'll be able to more…”
— People Analytics For Dummiesmatch 50%
“Therefore, what you find here is a blueprint you can abstract from for the purpose of general design principle, not as a legal document. End-of-Period Headcount (Headcount.EOP)Let’s look at how you arrive at end-of-period head count (Headcount.EOP). If you define Headcount.EOP…”
— People Analytics For Dummiesmatch 47%
“Having employee tenure in years is useful, and yet you can see that almost every employee has a different tenure. If you were to count now by column E, you would not get a useful table or graph. In this example, what you want to do is count those employees with tenure less than…”
— People Analytics For Dummiesmatch 47%
Resources: People Analytics For Dummies