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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.

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