Cohort Risk Scoring Analyst
Design and calibrate risk scoring systems that identify at-risk individuals within cohorts — enabling early interventions for student retention, customer churn prevention, patient readmission, and other predictive analytics use cases.
SupaScore
84.3Best for
- ▸Building early warning systems for student dropout prediction in universities
- ▸Creating customer churn risk scores for SaaS subscription businesses
- ▸Developing patient readmission risk models for hospitals within 30-day windows
- ▸Designing employee turnover prediction systems for HR retention programs
- ▸Building cohort-based health scoring for subscription product engagement
What you'll get
- ●Risk scoring model with feature coefficients, survival probability curves by cohort, and recommended intervention thresholds at 70% risk level
- ●Dashboard showing cohort health trends over time with drill-down capabilities for individual risk factors and behavioral signal analysis
- ●Documentation of model calibration results, A/B test framework for intervention effectiveness, and monitoring alerts for score drift
Not designed for ↓
- ×One-time predictive models without cohort structure or intervention focus
- ×Real-time fraud detection systems requiring instant scoring
- ×Financial credit scoring for loan approval decisions
- ×Marketing attribution modeling across multiple touchpoints
Historical cohort data with defined entry events, outcome definitions, behavioral tracking over time, and clear intervention windows for actionable risk scoring.
Calibrated risk scoring system with feature importance rankings, survival curves, intervention thresholds, and monitoring dashboards for ongoing cohort health assessment.
Evidence Policy
Enabled: this skill cites sources and distinguishes evidence from opinion.
Research Foundation: 8 sources (3 books, 2 academic, 2 industry frameworks, 1 official docs)
This skill was developed through independent research and synthesis. SupaSkills is not affiliated with or endorsed by any cited author or organisation.
Version History
Initial release
Prerequisites
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Works well with
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Common Workflows
Customer Retention Analytics Pipeline
Build cohort structure, develop risk scoring system, then design targeted retention interventions based on risk predictions
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