Your hiring system is running right now.
You just can't see inside it.
Hiring System Health is the real-time operational score that tells you exactly what is happening inside every active mandate — recruiter load, funnel velocity, outreach decay, and SLA breach probability — before searches stall.
The Problem
Most recruiting teams know they have a mandate in trouble around week 10.
By then, the search has been stalled for three weeks. The hiring manager has lost confidence. The team is in manual recovery mode — juggling spreadsheets, Slack threads, and emergency pipeline reviews.
68% of VP searches stall past week 10. Not because the talent doesn't exist. Because nobody can see inside the search while it's happening. No real-time visibility. No operational signals. No early warning.
"The problem isn't the talent market. The problem is that hiring systems have no equivalent of a health dashboard. Majhi OS fixes that."
The Metric
Every mandate carries a real-time Health Score.
The Hiring System Health Score is a composite operational metric built from five live signals. It updates continuously and surfaces specific recovery actions when a mandate falls below threshold — not a vague warning, but a precise operational signal.
Recruiter Load Signal
Measures recruiter capacity relative to mandate complexity. Flags overload before it becomes failure. The leading indicator most TA teams never track.
Funnel Velocity
Pipeline conversion at each stage measured against historical baseline. When velocity slows at a specific stage, the system surfaces the exact bottleneck.
Outreach Response Decay
Reply rate tracked week-over-week on all active sequences. A 20% decay in reply rate is flagged automatically — 2–3 weeks before the search team would typically notice.
Candidate Engagement Score
Response latency patterns from shortlisted candidates measured against disengagement baselines. Predicts ghosting 7–14 days before it happens.
SLA Breach Probability
Predicted timeline to close versus committed timeline — surfaced before the miss, not after. Gives leadership real-time confidence in hiring velocity.
Autonomous Recovery Trigger
When the Health Score drops below threshold, the system surfaces a Recovery Playbook — the specific operational sequence most likely to reverse the stall.
Why It Becomes Addictive
This is not a dashboard you check monthly.
The Health Score updates continuously. When a mandate dips below threshold, Majhi OS surfaces the exact point of failure — not a vague warning, but a specific operational signal.
"Outreach response rate dropped 40% this week on the VP Sales mandate. Recovery playbook available: pivot sequence, reframe value proposition, add 3 referral touchpoints from existing pipeline."
TA teams that have access to this signal stop running on intuition and start running on data. It changes how they talk to hiring managers. It changes what they escalate. It changes the outcome.
System Proof
What operational health monitoring produces.
Related Reading
More from Majhi OS.
Failure Prediction Engine — Majhi OS
The Majhi OS Failure Prediction Engine detects early stall signals across recruiter load, funnel velocity, outreach deca.
Read more →
Hiring Observability — Majhi OS
Hiring observability applies logs, metrics, and traces from DevOps to talent acquisition. See inside every active mandat.
Read more →
The Operational Visibility Gap: Why Recruiting Mandates Stall
68% of VP searches stall past week 10. The cause isn.
Read more →
See your mandate's Health Score live.
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