← HR Metrics·Talent Acquisition
New Hire Retention (90-day)
Percentage of new hires remaining after 90 days
How it’s computed
COUNT(retained_90) / COUNT(hires)
What the evidence shows
Evidence (effect sizes, priors, validity) is syncing from Principia.
What this metric can show you
New Hire Retention (90-day) can tell roughly 26 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 talent acquisition
New hires are ramping slower than they used to
onboarding · T1
No villain stage — the funnel is the funnel
ta-funnel · T1
On this pace, you miss the plan
ta-funnel · T1
The hiring engine is stalling
ta-funnel · T1
The leak has an address
ta-funnel · T1
There's one job family we can't close
offer-competitiveness · T1
You're losing them at the close
ta-funnel · T1
Your biggest source isn't your best
quality-of-hire · 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.
“With clever segmentation, you might learn that people who agree with the statement, “I know my next career move at the company” are one-third less likely to exit in the next 12 months as someone who disagrees with the statement. With segmentation, you might learn that there’s no…”
— People Analytics For Dummiesmatch 54%
“Stagnating in a role for an additional 10 months raises the odds that employees will leave the company for their next role by about one percentage point, a statistically significant effect. (16) Corporate Culture Research have shown that there is a relationship between Corporate…”
— People Analytics Text Mining with Rmatch 54%
“Maybe your employees prefer additional off-days instead of cash rewards? Candidate experience rating. To analyze the candidate experience survey is to use the Net Promotor Score (NPS) method: (3) “Promoters”, are candidates who rated 9 or 10 in the candidate experience survey.…”
— Predictive HR Analyticsmatch 53%
Resources: People Analytics For Dummies · People Analytics Text Mining with R · Predictive HR Analytics