Average Days to Fill
Mean elapsed days between requisition opening (approved and posted) and offer acceptance, averaged across requisitions filled in the period. The headline recruiting-velocity KPI commonly tracked in the SHRM Talent Acquisition Benchmarking Report. Common pitfall: choosing between time-to-fill (req-opened to offer-accepted) and time-to-hire (first-applicant to offer-accepted) without locking the convention — the two can differ by weeks. Best practice is to standardize on time-to-fill (the SHRM benchmark convention) and document any deviation. — HR KPI anchored to SHRM Talent Acquisition Benchmarking Report.
Rogue ID: hr.avg_days_to_fill
Type: Number (days)
Domain: HR
Definition
Mean elapsed days between requisition opening (approved and posted) and offer acceptance, averaged across requisitions filled in the period. The headline recruiting-velocity KPI commonly tracked in the SHRM Talent Acquisition Benchmarking Report. Common pitfall: choosing between time-to-fill (req-opened to offer-accepted) and time-to-hire (first-applicant to offer-accepted) without locking the convention — the two can differ by weeks. Best practice is to standardize on time-to-fill (the SHRM benchmark convention) and document any deviation.
Formula
Average Days to Fill = Σ(offer-accepted-date − requisition-opened-date) / count of requisitions filled in the period. Convention: time-to-fill per SHRM Talent Acquisition Benchmarking Report — req-opened to offer-accepted, not first-applicant to offer-accepted.Why it matters
A stretching time-to-fill is one of the earliest leading indicators of either comp-band misfit, role-spec creep, or recruiter capacity exhaustion. Combined with hr.open_positions, it projects when promised capacity actually arrives.
How to interpret
SHRM Talent Acquisition Benchmarking Report typically reports cross-industry medians around 40–45 days time-to-fill, with technical roles (engineering, data) often longer (60–90+ days). Verify against the most recent SHRM report for the exact figure. A sustained increase of >20% with no role-mix change typically signals a recruiting-pipeline issue (industry folk-wisdom, not citation-grade).
Related KPIs
hr.open_positionshr.hiring_planhr.new_hireshr.key_openingshr.key_hires
Source
SHRM Talent Acquisition Benchmarking Report · section: Time-to-Fill — published 2023-01-01.
Why does this cite SHRM Talent Acquisition Benchmarking Report? Read the ontology methodology for the published vs editorial tier system, attribution rules, and dispute process.
Stage relevance
| Company stage | Priority |
|---|---|
| Series A | Recommended |
| Series B | Recommended |
| Series C+ | Recommended |
| Public | Recommended |
Suggested for stages: Series A, Series B, Series C+, Public.
Default owning functions
- HR
Machine-readable
- This KPI as JSON:
/api/ontology/hr/avg_days_to_fill.json - All HR KPIs:
/api/ontology/hr.json - Full catalog:
/api/ontology/index.json
At-Risk Employees
Count of employees actively flagged as flight risk by managers, based on engagement signals (skip-level surveys, manager 1:1s, counter-offer activity, tenure-curve risk). A leading indicator that complements the lagging `hr.voluntary_exits` number. Common pitfall: stale flags that never get cleared — at-risk lists tend to drift toward "every senior IC ever" without manager discipline. Best practice is a quarterly refresh with explicit add/remove notes and an action attached to each flag. — HR KPI, I'mBoard-authored (editorial tier).
HR Board Actions
Explicit list of HR items requiring board attention, approval, or decision in this meeting — executive comp changes, headcount-budget changes, equity-pool top-ups, employment-policy approvals, and any items needing a board resolution. Common pitfall: burying decisions inside other narrative sections — boards consistently miss requests that are not explicitly tagged as "decision required." Best practice is to label each item as approval-required vs awareness-only and give a one-line ask. — HR KPI, I'mBoard-authored (editorial tier).