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Predictive Workforce Intelligence

Know Who's Leaving
Before They Do.

Ripplemesh turns HR data into strategic foresight — multi-signal attrition modeling, competency forecasting, succession bench strength, and per-employee SWOT assessments. Not records management. Intelligence.

Four Core Capabilities

From Data to Foresight

Four integrated intelligence modules, each driven by your organization's own data — not generic benchmarks or vendor assumptions.

Attrition Risk Scoring

Multi-signal attrition modeling combines performance ratings, skill gaps, HR flags, and behavioral activity patterns into a per-employee risk score — surfaced weekly, not at exit interview.

  • Performance trend analysis
  • Skill gap accumulation signals
  • HR flag pattern detection
  • Learning activity decline indicators

Time-to-Competency Forecasting

Predict when a new hire or transitioning employee will reach full competency in their role — based on actual learning velocity, assessment performance, and historical cohort data.

  • Role-specific competency benchmarks
  • Individual learning velocity tracking
  • Cohort comparison and forecasting
  • Manager intervention triggers

Succession Bench Strength

Identify, track, and actively develop high-potential successors for critical roles before those roles become vacant. Bench strength scoring is updated continuously as credentials, performance, and development data evolve.

  • Critical role gap analysis
  • High-potential identification
  • Development plan assignment
  • Bench depth scoring over time

Individual SWOT via Throckmorton

Ripplemesh's AI agent Throckmorton conducts data-driven SWOT assessments for every employee — combining credentials, assessments, experience data, and organizational context into a strategic development plan.

  • Per-employee SWOT generation
  • Credential gap and decay detection
  • Career opportunity matching
  • Strategic plan triggers for HR

Why It Matters

The Cost of Waiting Is Enormous

The average cost of replacing a mid-level employee is 50–200% of their annual salary — recruiting, onboarding, lost productivity, knowledge transfer, and training. Most organizations discover the risk at the exit interview, long after the decision was made.

Ripplemesh's multi-signal attrition model surfaces risk weeks and months before it becomes a resignation — giving HR and leadership the time to intervene, invest, and retain.

Unplanned turnover cost

1–2× annual salary

Average time to fill a critical role

3–6 months

Productivity loss during vacancy

Up to 67% for senior roles

Cost of proactive retention investment

Fraction of replacement cost

Who It's For

Built for Leaders Who Need Answers, Not Reports

HR Directors

Reduce regrettable attrition with proactive retention signals before exit interviews reveal the truth.

Group Leaders

Know which team members are at risk, under-skilled, or ready for advancement — before performance reviews.

Senior Organizational Leaders

Bench strength and workforce risk visibility at the portfolio level — not just headcount reports.

Head of Learning

Connect learning investment to competency outcomes, attrition reduction, and succession readiness in one data layer.

Your People Data is Already There.

Ripplemesh doesn't require a data warehouse project or a new HR system. It reads the signals already in your platform and turns them into strategic foresight — in weeks, not quarters.