Generic search strategies produce generic outcomes. The Search Strategy Engine builds a precision strategy for each mandate based on its specific operational context.
The Search Strategy Engine is the strategic planning module inside Majhi OS — the system that generates mandate-specific search strategies based on real-time market intelligence, historical outcome data from similar searches, and the specific operational context of each client's hiring situation. It replaces the one-size-fits-all search plans that most recruiting firms apply regardless of mandate complexity.
The Search Strategy Engine processes five categories of input to generate a mandate-specific strategy:
Role scope, compensation range, cultural requirements, timeline constraints, and reporting structure — the operational definition of what success looks like.
Current talent availability, competitive compensation data, similar searches in market, and candidate response rate benchmarks for this role type.
Performance data from similar searches — which strategies produced faster closes, which sourcing channels performed best, which outreach approaches drove higher response rates.
Hiring manager decision speed, interview process complexity, offer approval timeline, and organizational factors that affect search velocity.
Pre-built recovery strategies for each failure pattern — activated automatically if the primary strategy shows signs of underperformance.
Most recruiting agencies are excellent tacticians — they know how to source candidates, write outreach, and schedule interviews. What they lack is a strategy engine that determines which tactics to deploy in which sequence for which mandate.
“Recruiting talent is tactical competence. The Search Strategy Engine provides the strategic layer that most search firms have never had — not guessing which approach to use, but knowing.” — Manas Majhi
The Search Strategy Engine produces four deliverables per mandate: a sourcing strategy (which pools, channels, and methods for this specific role), an outreach strategy (messaging approach, cadence, and A/B testing framework), an assessment strategy (interview structure, evaluation criteria, and shortlist standards), and a recovery strategy (pre-built intervention sequences if primary strategy underperforms).
The Search Strategy Engine is the strategic planning module inside Majhi OS that generates mandate-specific search strategies based on real-time market intelligence, historical outcome data, and operational context.
A standard search plan applies the same approach to every mandate. The Search Strategy Engine builds a different strategy for each mandate based on its specific market context, timeline constraints, and historical outcome data for similar searches.
Four strategy documents per mandate: sourcing strategy, outreach strategy, assessment strategy, and recovery strategy.
It processes real-time compensation benchmarks, talent availability data, competing search activity for similar roles, and candidate response rate benchmarks — adjusting the recommendation when market conditions shift.
Yes. If telemetry signals indicate the current strategy is underperforming, the engine can recommend a strategy pivot — different sourcing channels, revised compensation positioning, adjusted outreach approach.
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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