Real-Time Monitoring

Recruiting pipeline monitoring that tells you what's happening now — not what happened last week.

Your ATS reporting shows you last week's funnel. Majhi OS shows you today's mandate health — and triggers autonomous recovery when pipelines start degrading before anyone on your team notices.

Why your current recruiting analytics leave mandates blind.

Most recruiting analytics tools are built on data warehouse architecture — they collect data from your ATS, process it overnight, and surface reports in the morning. This works well for strategic planning and capacity modeling. It fails completely for operational intervention.

A mandate that collapses in week 11 was failing in week 4. The outreach reply rate was down 60%. The pipeline had three viable candidates left. The hiring manager's last feedback was 12 days ago. Every one of these signals was measurable. Nobody was looking at them in real time. That's the monitoring gap that Majhi OS was built to close.

What ATS Reporting Tells You

Time-to-fill for mandates closed last quarter

Funnel conversion rates from last month's data

Source effectiveness from completed hires

Average interview-to-offer ratio from last cohort

What it doesn't tell you: that your current VP mandate is on track to fail in 3 weeks

What Majhi OS Monitoring Tells You

Current Hiring Health Score for every active mandate

Live outreach reply rate vs. mandate baseline — today

Current pipeline depth trajectory — projected to zero by week X

Hiring manager response latency — current, not historical

Which mandates are at risk of failure right now — and what's being done about it

The signals that predict mandate success or failure.

The Hiring Health Score aggregates eight operational signals in real time. Each signal is tracked per mandate and against historical baseline. When a signal crosses threshold, it feeds the Failure Prediction Engine and — if necessary — triggers a Recovery Playbook.

Signal 01
Outreach Reply Rate
Reply rate per sequence vs. mandate baseline. Decay below threshold triggers outreach pivot sequence.
High Impact
Signal 02
Pipeline Depth Trajectory
Viable candidates remaining vs. shortlist requirement. Projected depletion date calculated daily.
Critical Signal
Signal 03
Stage Velocity
Time-in-stage per candidate vs. SLA commitment. Flags stalls before they cause SLA breach.
High Impact
Signal 04
Hiring Manager Latency
Days since last hiring manager action (feedback, approval, scheduling). Escalation trigger when latency exceeds threshold.
Critical Signal
Signal 05
Candidate Drop-Off Rate
Candidate withdrawals and non-progresses by stage. High drop-off at offer stage signals compensation or process mismatch.
High Impact
Signal 06
Recruiter Load Index
Active mandate count per recruiter relative to capacity threshold. Overload triggers reassignment protocol.
Monitored
Signal 07
Hiring Velocity
Current days-open vs. target close date. Trajectory calculation: will this mandate close on time at current velocity?
High Impact
Signal 08
Audit Trail Coverage
Documentation completeness per mandate. Gap detection ensures every candidate action is traceable for reporting and compliance.
Monitored

Monitoring without recovery is just a dashboard. Majhi OS does both.

Most analytics and monitoring tools stop at detection — they surface the problem and let a human figure out what to do. Majhi OS closes the loop: when monitoring detects degradation, the system doesn't just alert. It executes recovery.

Monitor

The Hiring Health Score watches all eight signals for every active mandate simultaneously. 24/7. Not in your weekly pipeline review — right now, as outreach is going out and candidates are progressing.

Predict

The Failure Prediction Engine classifies degrading mandates by failure type — outreach decay, pipeline depletion, stakeholder bottleneck — and assigns failure probability. Week 3 or 4, not week 11.

Recover

Recovery Playbooks execute automatically. Outreach pivots, pipeline expansions, escalations, recruiter reassignments — all triggered by the monitoring layer, without waiting for a TA Ops manager to notice the problem and build a response.

What real-time recruiting pipeline monitoring produces.

50d
avg mandate close with Majhi OS — vs. 14-week industry median
68%
of VP searches stall past week 10 without real-time monitoring
35%
outreach reply rate — up from 14% with monitoring-driven pivots
100%
audit trail coverage — every pipeline action traceable

Questions about recruiting pipeline monitoring and Majhi OS.

Is Majhi OS a business intelligence tool?

No. Business intelligence tools (Tableau, Looker) are built for retrospective analysis. Majhi OS is operational infrastructure — it monitors live mandate signals and executes recovery in real time. Think Datadog, not Power BI.

Can I see all my mandates on one dashboard?

Yes. The Hiring Health Score gives you a live operational view of every active mandate — health status, key signals, velocity metrics, and recovery actions in progress — on a single command-center view.

How is this different from setting up alerts in my ATS?

ATS alerts notify you when something has already happened: a candidate hasn't been contacted in X days, a stage has been open for Y days. Majhi OS predicts what is about to happen and executes recovery before you need to intervene. The difference is intervention timing: after the fact vs. before collapse.

Who sees the monitoring data?

Your recruiting team sees the operational signals via the Hiring Health Score dashboard. Leadership gets the executive visibility layer: velocity, cost savings, recovered mandates, recruiter efficiency — translated into strategic metrics, not operational detail.

See the live health status of your recruiting pipeline.

In 45 minutes, we map your active mandate against the Majhi OS monitoring framework — and show you exactly which signals are already at risk. Not a demo. Your actual search.

Book Your Mission Walkthrough →