The core problem with traditional recruiting dashboards is that they report on activity, not health. They show you how many candidates were sourced, how many interviews were scheduled, how many offers were sent. What they don't show you is whether the mandate is actually moving toward a successful close — or silently drifting toward failure.
The Hiring Health Score is Majhi OS's answer to that problem. It synthesizes 12 operational signals across every active mandate into a single number, updated in real time, that tells a recruiting leader exactly which searches are on track, which are degrading, and which require immediate intervention.
The 12 Signals We Track
Each signal is weighted based on its predictive correlation with mandate failure. The weights are adjusted over time as the system learns from outcomes across mandates.
How the Score Is Calculated
The 12 signals are normalized to a 0–100 scale and aggregated using a weighted model. The weighting is not static — it adapts based on mandate type, industry, role level, and historical outcomes for similar searches.
Hiring Health Score Bands
"Most teams find out a mandate is failing when the CEO asks why the role has been open for four months. The Hiring Health Score tells you in week three."
What the Score Enables
Early Warning
Degrading mandates are flagged before they stall — typically 3–4 weeks before a human recruiter would notice.
Prioritization
Recruiting leaders can instantly see which mandates need attention and which are running smoothly — without reading through CRM notes.
Accountability
Every score change is logged with a cause. Nothing can degrade silently.
Executive Visibility
CEOs and CFOs can see the operational health of the entire hiring portfolio at a glance — not just headcount numbers.
Why One Number Matters
Synthesis is the point. Recruiting teams don't need more dashboards. They need a single signal that tells them where to look. The Hiring Health Score replaces 12 separate metrics that no one has time to read with one number that requires immediate action when it drops.
The Hiring Health Score is also what makes the Failure Prediction Engine actionable. Without a real-time health signal, prediction is theoretical. With it, prediction triggers a specific response.