Drag-and-drop conversation builder
Build conversations by adding and arranging questions with drag and drop, rather than designing a static form page.
unquestion
Unquestion is an AI-powered conversation builder that turns static pages and forms into interactive dialogues. It helps teams collect structured responses, publish conversations publicly, and embed them on websites.
Overview
Unquestion is an AI-powered conversations builder for turning static pages and forms into interactive dialogues. It lets you create conversations, publish them publicly, and embed them on external websites so people can respond in a guided, conversational format.
The product is positioned around collecting structured responses that are easier to review than chat logs. Source pages emphasize drag-and-drop setup, AI-generated replies, real-time response tracking, and one-click CSV export, with pre-built templates for common workflows such as feedback, signup, registration, and support.
Core features
AI-led conversations
Let AI generate the conversational responses so the experience feels interactive and can guide respondents through the flow.
Structured response view
Present output as structured responses in clean tables instead of long chat logs, which makes review and analysis easier.
Real-time completion tracking
Track completed and partial responses in real time so you can see progress as people move through a conversation.
One-click CSV export
Download results as CSV with one click for offline review or downstream analysis.
Publishing and template support
Publish conversations publicly, embed them on websites, and use unlimited forms and templates within the product.
Common use cases
Customer feedback
Use a conversational flow to collect sentiment, ratings, and written feedback in a format that is easier to review than a long open-ended thread.
Signups and registrations
Replace a static signup form with a conversation that can qualify interest, learn preferences, and capture details for events, newsletters, or waitlists.
Lead qualification
Guide prospects through a demo request flow that gathers context such as needs and goals before a sales or product call.
Support intake
Create support or cancellation flows that help users explain their issue clearly and route the response to the right team.
Product and research intake
Collect product ideas, survey responses, or feature requests in structured form so teams can organize feedback and act on it more easily.
Pros and Cons
Pros
- Turns static pages into interactive conversations with a guided response flow.
- Provides structured outputs instead of long chat logs, which simplifies review.
- Supports real-time completion tracking and one-click CSV export for basic operations workflows.
- Includes pre-built templates for several common use cases, which can speed setup.
- Can be published publicly or embedded on external websites.
Cons
- AI responses are generated automatically and are not human-reviewed, so conversations need testing and monitoring before publication.
- Published conversations are public by default when shared via a unique URL, so they may not suit private or internal-only workflows without additional controls.
- The source material does not show integrations beyond embeds and calendar booking references on the homepage, so destination options are limited in the evidence provided.
FAQ
How do I build and publish a conversation?
You create conversations by adding and arranging questions with drag and drop, then publish the conversation publicly or embed it on a website.
Can conversations be embedded on other websites?
Yes. The homepage says you can turn static content into AI-powered conversations, and the terms state that published conversations can be embedded on external websites.
How does pricing work?
Credits are sold as one-time packs, not subscriptions. Each conversation someone chats with costs one credit, and unused credits expire 12 months after purchase.
What kinds of conversations can I create?
The templates page shows use cases such as customer feedback, newsletter signup, event registration, demo request, cancellation survey, product survey, feature request, waitlist signup, and customer support.
Does the AI review responses before they go live?
The terms and privacy policy say you should test conversations before publishing, since AI responses are generated automatically and are not reviewed by a human.
Quick Facts
- Category
- AI Chat / Form Builder
- Website
- unquestion.ai
- Deployment
- Public conversations with website embeds
- Pricing model
- One-time credit packs; no subscription
- Output
- Structured responses and CSV export
- Company
- Unquestion LLC
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