Predictive Hiring Platform.
£500K-funded Post-Seed HR Tech Startup — King's College London Capstone, 2025
Early employee turnover causing measurable cost to hiring organisations — a gap competitors had not addressed with predictive tooling.
6 AI hiring platforms analysed systematically — mapping feature gaps, pricing structures, and where predictive retention tooling was absent across the market.
Big Five personality psychology and group dynamics fit research. Combined peer-reviewed literature with market data — an approach the client explicitly recognised as methodologically distinctive.
10+ user interviews with recruitment professionals across UK and EU. Additionally interviewed legal and compliance specialists on contractual structures — including agency refund clauses triggered when hires leave during probation — establishing shared financial liability as the core product constraint.
"Early turnover is a shared financial liability — not just an HR metric. Agency contracts routinely include refund clauses if a hire leaves during probation. The incentive to retain exists on both sides of the market. That's not a niche constraint. That's the product opportunity."
- Pilot programme structure with 3-tier retention success metrics: 3 months / 6 months / 12 months
- North Star Metric framework: Customer LTV via reduced early turnover
- Executive-ready business case and stakeholder presentation
- MVP feature recommendations tied directly to validated user pain points
Received client commendation for strategic insight and research rigour. Graduated with Distinction.
