SENIOR / LEAD PRODUCT DESIGNER
SVOY CHELOVEK
Therapist Matching in Telegram
A Telegram Mini App where AI suggests the match and a human makes it
ROLE
Founder & Product Designer
SCOPE
Product strategy · Product design · Web and mobile
ROLE
Founder & Product Designer
SCOPE
Product strategy · Product design · Web and mobile
- Finding the right therapist is a trust problem; directories make it worse
- The first step is the hardest — any friction kills it
- Raw intake text overwhelms the specialist
- "Let AI decide" is exactly what harms in mental health
- Telegram Mini App: zero-friction first step in a familiar space
- Client sees only a human; AI is invisible by design
- LLM structures the request into a brief and suggests specialist candidates — to the operator, never to the client
- Confidence per theme, urgency flags, drill-down to the client's original words
- Data minimization: no diagnoses or medical details ever collected
- Human in the loop → less throughput, more trust
- AI hidden from the client → no "AI-powered" shine, no machine at the vulnerable moment
- Suggestion over decision → AI never gatekeeps access to help
- Shipped 0→1: independently built the Telegram Mini App and LLM-assisted operator workflow
- Specialist gets a structured brief with candidates, not raw text
- Clear human–AI boundary: model structures and suggests; human decides and explains
In a high-stakes domain, the design question isn't what AI can do — it's where it must step back. Here it stepped fully behind the operator: the client never meets the model, and that absence is the design.