Measuring recruiters on calls made and CVs submitted is like measuring engineers on lines of code. It incentivizes the wrong behavior. Majhi OS tracks the metrics that predict whether mandates close — mandate health maintained, recovery playbooks executed, shortlist quality, and hiring velocity per recruiter.
The primary productivity metric: is the recruiter maintaining mandate health scores above threshold across their portfolio? Declining health scores are the earliest signal of productivity problems.
What percentage of candidates a recruiter submits are advanced by hiring managers? Low approval rates signal brief misreading, poor candidate vetting, or targeting drift — all fixable with the right diagnostic.
Not every recruiter writes equally effective outreach. Majhi OS tracks reply rates per recruiter per mandate type — identifying message quality issues before they collapse a search.
When a mandate deteriorates, does the recruiter recognize it and act? Majhi OS measures both how often recovery is needed and how quickly it is executed — distinguishing proactive from reactive recruiters.
The number of active mandates weighted by search complexity and current stage. Overloaded recruiters produce degraded mandate health across their portfolio — Majhi OS detects and rebalances.
Rate of qualified candidate progression from sourcing to shortlist. A leading indicator of recruiter effectiveness that predicts closure success 4–6 weeks before the outcome is visible.
| Metric | Type | What It Predicts | Majhi OS Tracks |
|---|---|---|---|
| Calls / emails per day | Activity | Nothing predictive | Not tracked |
| Candidates submitted | Activity | Volume, not quality | Insufficient alone |
| Shortlist approval rate | Productivity | Brief quality and targeting | Per recruiter, per mandate |
| Mandate health maintained | Productivity | Search outcome | Primary signal |
| Reply rate | Productivity | Outreach effectiveness | Per recruiter, per type |
| Recovery execution speed | Productivity | Proactivity and system knowledge | Tracked automatically |
Recruiter productivity should be measured on mandate-level outcomes: shortlist approval rates, mandate health scores maintained, outreach conversion rates, and time-to-qualified-candidate. Activity metrics like calls made and CVs submitted are poor proxies that incentivize volume over quality, especially in executive search.
A shortlist approval rate below 40% typically indicates brief misalignment — the recruiter is targeting the wrong profile. Rates above 70% indicate strong brief interpretation and candidate vetting. Majhi OS benchmarks each recruiter against this metric per mandate type and flags systematic issues early.
Recruiter overload is one of the most common causes of mandate deterioration. Overloaded recruiters allocate less time to each search, miss early warning signals, and execute recovery too late. Majhi OS tracks each recruiter's load index and rebalances mandate assignments automatically when overload is detected.
Recruiting operations managers should track mandate portfolio health (not just individual candidate status), per-recruiter shortlist approval rates, response decay trends across the team, and recovery playbook execution rates. These operational metrics predict outcomes weeks before traditional reporting would show a problem.
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