An AI moderator that understands the goal of every question
Proby never chases a fixed number of follow-ups — it judges whether each question's goal has been met, digging deeper or moving on, entirely on purpose.
Checklist
Design it with AI
Drop in an existing discussion guide or research doc and the AI drafts your interview guide from it. Then refine the questions and flow together, in chat.
Follow-ups are not a count
Every respondent answers differently. Firing a fixed number of follow-ups means re-asking what was already answered or asking questions that don't matter. Proby probes until the question's goal is met — then moves on.
응답자 A — 두 번 만에 목적 충족
✓ 목적 충족 — 다음 질문으로
응답자 B — 필요한 만큼 더 깊게
목적 미충족 — 계속 파고드는 중
충족될 때까지 프로빙
다음 주제로 이동
Flexible if-tree design
Design each question as a tree of if-branches — which answer leads where, and how much deeper to go when a condition is met. Build the flow exactly as deep as your research needs.
Multilingual interviews
Interviews run in the participant's language. In the Observer Room the conversation is translated live — simultaneous interpretation for your team — and analysis arrives in whichever language you choose.
Observer Room
동시통역 ES → KO배송이 항상 늦게 와서 그만 쓰게 됐어요.
주문이 얼마나 자주 늦게 도착했나요?
Observer Room
✓ 인터뷰 종료 전 질문 완료
Ask through the moderator
Curious about something mid-interview? Type a question in the Observer Room and the AI moderator asks the participant for you before the interview wraps up.
Quantitative questions, inside the interview
Drop quantitative items right into the flow of a deep interview — the AI keeps the conversation going, collecting qual and quant in a single study.
Multiple choice
Single and multi-select, shuffled options, min/max selection limits
Ranking
Read priorities as ranked lists — with top-N limits
Matrix tables
Rate every item at once on a rows-by-columns grid
Open text
Free-form answers the AI can probe deeper on
MaxDiff
Best-worst scaling for relative importance