Five modules. One intelligence layer.
Every feature in Siwaan is built around the same principle: surface the right insight to the right person at the right time, with enough context to act on it immediately.
Explainable Attrition Risk Predictor
Predicts the likelihood of an employee leaving within the next 90 days. It combines historical patterns with real-time in-app features (utilization, Weekly Status Report sentiment, and consecutive bench days) and explains risks with SHAP indicators to deliver clear, actionable mitigation options.
83% prediction accuracy · 90-day warning horizon · In-app signal tracking
What's included
- Multi-signal monitoring across HRIS, project tools, surveys, and WRS sentiment
- Per-employee risk scores updated daily, with trend change indicators
- SHAP explanations decomposing each risk score by contributing signal weight
- AI-recommended interventions for each high-risk profile (comp review, project fit, conversation prompts)
- Executive digests on-demand or weekly summarizing cohort flight risks
Proven outcomes
Why SHAP explainability changes everything
A risk score without context is anxiety, not intelligence. SHAP (SHapley Additive exPlanations) decomposes every prediction into the contribution of each input signal. A manager sees not just '87% risk' but: bench time (+34%), sentiment drop (+28%), peer departures (+16%), comp percentile (+12%). That breakdown points to a specific intervention.
Works with your stack
See all five modules working together
A 45-minute demo using your real HRIS data. Walk away with your first attrition risk report before you leave the call.
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