DevOps teams run on telemetry. Recruiting teams run blind. Majhi OS instruments your hiring system the same way Datadog instruments your infrastructure.
Hiring telemetry is the continuous measurement and transmission of operational signals from your recruiting system — response rates, funnel velocity, recruiter utilization, pipeline decay rates, and SLA breach thresholds. It is the data layer that makes real-time hiring observability possible. Without telemetry, you are managing a live hiring system with after-the-fact reporting.
Majhi OS instruments six categories of hiring telemetry across every active mandate:
Measures the rate at which outreach response rates decline over time — a leading indicator of pipeline collapse before it occurs.
Tracks how fast candidates move from sourcing to shortlist to offer — identifying where pipelines are slowing or stalling.
Monitors whether recruiters are operating within healthy thresholds or trending toward overload that degrades mandate quality.
A composite operational score for each active search — the primary telemetry metric that makes system health visible at a glance.
Tracks how close each mandate is to breaching its time-to-fill SLA, triggering escalation sequences before breach occurs.
Measures whether recovery actions are working — whether the intervention improved the mandate trajectory or a different sequence is needed.
Weekly recruiting reports show you what happened last week. Hiring telemetry shows you what is happening right now — and what will happen next week if nothing changes.
“Reporting tells you the mandate stalled. Telemetry tells you it is about to — three weeks before it does.” — Manas Majhi, Founder, Majhi OS
Majhi OS instruments telemetry at the mandate level — collecting signals from outreach patterns, candidate interaction data, recruiter activity logs, and pipeline stage transitions. These signals feed the Failure Prediction Engine, which identifies mandates trending toward collapse and triggers autonomous recovery sequences.
Every telemetry signal Majhi OS collects becomes training data for its operational intelligence layer. Over time, Majhi OS learns which telemetry patterns precede mandate failure and which recovery signals indicate a search is recovering — building a proprietary data graph that compounds with every mandate.
Hiring telemetry is the continuous measurement of operational signals from your recruiting system — response rates, funnel velocity, recruiter load, pipeline health. It is the data foundation that makes real-time hiring observability possible, as opposed to after-the-fact reporting.
ATS reports show historical data — what happened last week or last month. Hiring telemetry shows live operational data — what is happening in each mandate right now and what trajectory it is on.
Response decay rates, funnel velocity, recruiter load index, mandate health scores, SLA breach proximity, and recovery signal strength. These six categories provide full operational visibility across every active search.
Without telemetry, problems compound silently. A response rate declines from 14% to 6% over three weeks but nobody notices until the pipeline is empty. Telemetry surfaces that decay signal at week one, triggering an intervention before the mandate reaches critical state.
Every telemetry signal Majhi OS collects becomes training data for its failure prediction models. Over hundreds of mandates, the system learns which patterns precede failure — building a proprietary operational intelligence graph.
We use your actual mandate as working context. Book a 45-minute Mission Walkthrough and see what operational intelligence looks like for your specific hiring system.
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