Case Study - Launching a privacy-safe onboarding for a niche matchmaking app
Designed and built a new onboarding flow with strong privacy and observability for a fast-growing community.
- Client
- Phobia
- Year
- Service
- Product engineering, backend, AI guard rails
Overview
Phobia connects people with uncommon phobias. Rapid growth exposed gaps in onboarding reliability, consent handling, and visibility into failure modes.
We redesigned and rebuilt the onboarding system with clear privacy controls, instrumentation, and rollout safety so the team could launch confidently.
What we did
- Onboarding redesign
- Backend services and APIs
- Rate limits and monitoring
- Experimentation framework
They gave us a secure, measurable onboarding that scaled cleanly through our biggest launch.
CPO, Phobia
- Drop-off reduction
- 42%
- Faster release cadence
- 3x
- Critical incidents during launch
- 0
- Increase in verified matches
- 18%