Time to fill tells you how long a search took — after it's over. It measures failure in hindsight. Majhi OS monitors the signals that predict time-to-fill weeks before it deteriorates: response decay, pipeline depletion, stage stalls, recruiter overload.
A real-time operational score for every active mandate. Drops in score at week 2–3 are early warnings of a 90-day fill — caught and acted on before the timeline extends.
When qualified candidates are being exhausted faster than they're being sourced, Majhi OS flags it immediately and triggers sourcing recovery sequences automatically.
Long pauses at specific pipeline stages — hiring manager review, scheduling delays, offer latency — are tracked in real time with automated escalation when SLAs breach.
Declining reply rates are an early indicator of message fatigue or targeting drift. Majhi OS detects decay and pivots outreach strategy before the pipeline runs dry.
Time-to-fill is often a recruiter capacity problem, not a market problem. Majhi OS tracks per-recruiter workload and rebalances automatically when overload is detected.
Based on current pipeline velocity, conversion rates, and historical mandate patterns, Majhi OS projects a confidence-weighted fill date — updated daily, not guessed at kickoff.
| Metric | Type | When It's Useful | Majhi OS Action |
|---|---|---|---|
| Time to fill | Lagging | Post-mortem only | Replaced with live Hiring Health Score |
| Cost per hire | Lagging | Budget reviews | Tracked in real time with ROI attribution |
| Response decay rate | Leading | Week 2–3 of search | Auto-triggers outreach pivot |
| Pipeline depletion rate | Leading | Ongoing | Auto-triggers sourcing recovery |
| Stage stall duration | Leading | Real-time | Auto-escalates to hiring manager |
| Hiring Health Score | Leading | Continuous | Drives all autonomous recovery actions |
Time to fill measures the number of days from when a job requisition is approved to when an offer is accepted. It's the most commonly tracked hiring metric — and one of the least actionable, because by the time it's high, the damage is already done.
Industry median for VP and C-suite searches is 65–90 days. Well-run retained searches typically close in 30–50 days. Majhi OS's mandate close average is 50 days across VP and director-level searches.
Reducing time to fill requires monitoring the leading indicators that predict it: response decay, pipeline depletion, stage stalls, and recruiter load. Majhi OS tracks all four in real time and executes corrective actions before the timeline extends.
Time to fill averages hide variance. A single 180-day failed search skews the metric significantly. More importantly, it tells you nothing about why searches took as long as they did. Majhi OS tracks mandate-level health so you understand causation, not just duration.
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