Failed Hire Rate

operationalbehavioral · recruitment · percentage · organization

The percentage of hires who quit or are terminated within their first year.

How it’s computed

Formula
(Hires who left <12 months / Total hires in that cohort) x 100
Measurement model
operational (a formula over systems data) — not a reflective survey scale; “reliability” here means data quality, not internal consistency
record grain →← summary (lossy)ATS new_hiresΔt 12mofilterhires wholeft <12moΣnhires in cohortΣnFailed-Hire Rate÷
Fig. How Failed Hire Rate is built — data sources → actions → metric, read left to right. The grain boundary marks where record detail becomes a summary.

What it operationalizes

This metric measures the construct(s) below from operational data. Through them, it connects to the meta-analytic relationship network — the bridge from what you measure operationally to what the science knows.

What we know

Synthesized Bayesian priors over relationships involving this metric’s construct(s) — the meta-analytic evidence, with 95% confidence intervals and between-study heterogeneity (I²). Follow a row for the full distribution, contributing studies, and code.

Relationshipr (95% CI)kEvidence
Assessment Centers (predicts)[0.19, 0.53]1meta-analytic
Biographical Data Measures (Biodata) (predicts)[0.20, 0.53]1single
Conscientiousness (predicts)[-0.00, 0.37]1single
General Mental Ability (GMA) (predicts)[0.12, 0.48]1single
Integrity (predicts)[0.12, 0.48]1single
Met expectations (predicts)[-0.00, 0.37]1single
Realistic Job Preview (predicts)[-0.05, -0.03]1meta-analytic
Realistic Job Preview (predicts)[0.03, 0.05]1meta-analytic

The evidence

Attributed quotes from open-access papers, classified for stance against the relationship. Sourced and classified by Principia (no third-party feed) — displayable under each paper’s license.

However, structured interviews, where candidates are asked a consistent set of questions with clear criteria to assess the quality of responses, are the top ‐ ranked predictors of job performance (Sackett et al., 2022). supports

Structured InterviewsQuality of hire · Neurodiversity in the workplace: An agenda for research and action (2024) · doi · CCBY

Gaugler et al. (1987) stated that the presence of professional psychologists as assessors could be seen as a quality regulation to assessment centre validity. supports

Assessment CentersQuality of hire · CONSTRUCT VALIDITY OF COMPETENCY DIMENSIONS IN A TEAM LEADER ASSESSMENT CENTRE (2003) · doi · CCBY

A realistic representation is critical for engineering as denying the agentic traits of the field would be an inaccurate representation of it—which would likely have negative consequences on retention (Earnest et al., 2011). supports

Realistic Job PreviewNew-Hire / First-Year Retention · The impact of changing engineering perceptions on women’s attitudes and behavioral intentions towards engineering pursuits (2024) · doi · CCBY

Research has consistently shown that realistic job previews are associated with lower turnover rates, though e ff ect sizes are modest (Earnest et al., 2011; Phillips, 1998; Premack & Wanous, 1985). supports

Realistic Job PreviewEarly Turnover · Causes and decision paths of employee turnover in the homeless service sector (2023) · doi

Use it

Track Failed Hire Rate and its drivers in the People Analytics Toolbox — the registry’s evidence wired into deployable measurement.

Related metrics

Candidate Experience Score

Score derived from candidate surveys capturing satisfaction or likelihood to recommend the hiring process.

Hiring Cost

Total cost to recruit, hire, onboard, and train a new employee.

Recruitment Cost

Total internal and external expenses incurred for recruiting during a period.

Time to Hire

Days from candidate entering pipeline to accept.

Programmatic access: /api/v1/metrics/metric.failed_hire_rate · /api/v1/evidence-statements?construct=construct.new_hire_retention.