Context is King
When a user encounters friction, they are highly motivated to complain, but entirely unmotivated to fill out a 10-page Typeform survey. The window for actionable insight closes in seconds. Micro-Interviews operate inside that window.
The Autonomous Inquiry Loop
Instead of presenting static questions, Snell deploys a conversational intelligence agent natively within your application UI (via the Intelligence SDK or Widget).
- Phase 1: Ambient Capture
- The user submits a low-friction initial signal (e.g., clicking a "Frustrated" emoji or typing a 5-word complaint).
- Phase 2: Real-time Analysis
- Snell's routing engine passes the raw signal to the active LLM, assessing the semantic payload in under 400ms.
- Phase 3: Contextual Generation
- If the system identifies missing data required for a Semantic Hub, it instantaneously generates exactly one highly specific follow-up question.
- Phase 4: Synthesis
- Both the initial signal and the generated conversational response are merged into a unified "Insight Thread."
Defeating Survey Fatigue
By restricting the LLM to a maximum of one or two follow-up interactions, we dramatically increase completion rates while extracting infinitely more valuable qualitative data. We don't ask about their job title; we already securely know it. We ask exactly why the feature failed their specific workflow.