Reply rates, time-to-hire, and source cost are table stakes. The metrics that separate high-performing TA teams from struggling ones are operational: mandate health, response decay velocity, pipeline conversion by stage, and recovery playbook success rates.
A composite real-time score per active search — aggregating outreach performance, pipeline velocity, stage conversion, and recruiter load. The single most important TA metric Majhi OS tracks.
The rate at which outreach response rates decline over time on a specific mandate. A leading predictor of pipeline collapse — tracked per search, not in aggregate.
What percentage of submitted candidates get advanced by the hiring manager. Low approval rates signal brief misalignment, not candidate scarcity. Majhi OS tracks and escalates automatically.
Stage-by-stage pass-through rates per mandate, tracked against benchmarks. Stalls at specific stages trigger automated diagnostic and escalation sequences.
Active mandate count weighted by search complexity and current stage — not just headcount. Identifies overload before it causes mandate deterioration.
When Majhi OS executes a recovery sequence, what percentage result in mandate recovery? This compounds over time — each recovery teaches the system what works.
Which sourcing channels produce qualified pipeline for which mandate types — tracked at the mandate level, not just campaign level. Majhi OS shifts budget autonomously based on attribution.
Rate of change in time-to-qualified-candidate across your mandate portfolio. Improving velocity indicates system health; declining velocity triggers automatic review.
| Metric | Type | What It Tells You | Majhi OS Layer |
|---|---|---|---|
| Time to hire | Activity | How long it took (after) | Replaced by predictive fill date |
| Applicants per opening | Activity | Volume of inbound | Not tracked — irrelevant for exec search |
| Mandate Health Score | Operational | Real-time search viability | Primary Majhi OS metric |
| Response decay rate | Operational | Outreach deterioration signal | Triggers pivot automatically |
| Shortlist approval rate | Operational | Brief quality signal | Escalates brief review if below 40% |
| Recovery playbook success | Operational | System learning compounding | Improves with every mandate |
The most impactful TA metrics are operational, not activity-based: mandate health score (live), response decay rate, shortlist approval rate, pipeline stage conversion, and recruiter load index. These predict outcomes before they occur. Time-to-hire and cost-per-hire are useful for post-mortem analysis but not for real-time management.
Recruiting team performance is best measured through mandate-level outcomes: health scores, shortlist quality, time-to-qualified-candidate, and recovery playbook execution. Majhi OS tracks all of these per recruiter and per mandate, creating accountability at the search level rather than in aggregate averages.
A TA ops platform manages the systems, processes, and tools behind the hiring function. Most provide workflow management and reporting. Majhi OS goes further — it monitors mandate health in real time, predicts failures, and executes recovery sequences autonomously without manual orchestration.
Most recruiting dashboards show lagging averages that smooth over individual mandate failures. A TA team with a 45-day average time-to-fill can still have 30% of searches stalling past 90 days. Majhi OS provides mandate-level visibility so leadership sees the actual distribution, not just the average.
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