Diaform is built around a simple idea: a form can collect an answer, but only a conversation can uncover the reason behind it. Its AI agents conduct customer interviews over voice or text, deciding their next question based on what the respondent just said instead of following a fixed script. Respondents get a single link — no signup, no app install — and can speak out loud or type in whichever of the 32 supported languages they are most comfortable with.
The natural voice agents start speaking immediately, use human pacing, emphasis, and pauses, and never stall mid-conversation, which keeps completion rates high and produces detailed answers rather than half-filled fields. Each conversation is then summarized so product teams can read themes instead of paging through raw transcripts. Common placements include churn surveys when a customer cancels, onboarding feedback in the first week, post-purchase testimonials, weekly customer conversations, and pre-build research pulses.
Privacy is handled explicitly: conversations are encrypted in transit and at rest, readable only inside your Diaform workspace according to roles and per-project access, with SSO available on Enterprise. Customer data is not used to train AI models and can be exported as CSV or deleted at any time.
