The pattern evidence behind every staffing decision.
Staffing Intelligence reads your firm's complete engagement history and surfaces the consultant-client fit patterns that instinct alone can't reliably access.
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Data ingestion
Kelpmont connects to your CRM and time-tracking systems and ingests your complete engagement history — consultant assignments, client verticals, project outcomes, billing cadence. No manual data preparation required.
Pattern detection
The pattern engine analyzes consultant-to-client pairings across your full history, identifying statistical fit signals: vertical familiarity, outcome score correlations, chemistry patterns by engagement type and team composition.
Signal surfacing
Before each staffing decision, Kelpmont surfaces the relevant pattern signals for the consultants under consideration — not a recommendation, but an evidence read that informs the partner's judgment.
Six signals Kelpmont surfaces.
Each signal is derived from your firm's own engagement history — not generic industry benchmarks or consultant-level scoring. Kelpmont does not rate consultants as individuals; it surfaces patterns from historical pairings.
Vertical Familiarity
Prior engagement count within the client's specific industry vertical — the single strongest predictor of engagement outcome score.
Chemistry Pattern
Historical outcome correlation when this consultant has worked with this client type, project structure, or engagement lead combination.
Outcome Score History
Aggregated outcome scores from comparable prior engagements, segmented by client size, project type, and engagement duration.
Recency Weight
How recent the consultant's vertical-relevant engagements are — older experience decays in relevance; Kelpmont weights accordingly.
Engagement Load Pattern
How this consultant has historically performed under different utilization loads — some consultants' outcome scores degrade significantly at high utilization.
Team Composition Fit
Pattern signal derived from this consultant's historical performance within specific team configurations and seniority mix ratios.
See Staffing Intelligence with your data.
Connect your CRM and see what patterns your engagement history actually contains.
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