Recommendation Signal Audit
See which ranking signals actually move what people open, save, and return to.
We review how your app records recommendation impressions, clicks, dismissals, and downstream outcomes, then map which signals genuinely explain ranking quality versus noise that only looks precise.
Included in this engagement
- Inventory of recommendation events across selected surfaces
- Signal-to-outcome map for open, save, purchase, and return paths
- Noise and leakage notes for labels that inflate model confidence
- Prioritized measurement gaps with effort estimates
- Briefing with product and data owners