Can the AI ask follow-up questions inside the survey?

Yes. Diaform reads each answer during the session and can ask for a reason, example, clarification, or missing detail before it moves to the next planned question.

Is this a replacement for Typeform or Google Forms?

Not for every job. Typeform and Google Forms are often better for fixed fields, registrations, quizzes, and quantitative questionnaires. Diaform is designed for open-ended studies where a useful answer depends on probing what the respondent means.

Can respondents answer with their voice?

Yes. Respondents can use voice or text in the browser. Voice is optional, and the full conversation is available as a transcript for your team.

How much deeper will the responses be?

It depends on the audience, topic, and conversation design. Adaptive follow-ups can turn a vague statement into a reason or concrete example, but you should test the same study with your audience rather than rely on a universal response-length claim.

Can I export the results?

Yes. You can review the structured response and message history in Diaform and export conversation data to CSV for analysis in another tool.

Does it work on mobile?

Yes. Published conversations run in modern mobile and desktop browsers without requiring respondents to install an app or create an account.

Ask the next question based on the last answer.

Diaform turns a shareable survey link into an adaptive AI conversation. Respondents answer by voice or text, the AI probes vague or important points, and your team reviews the full transcript with structured response analysis.

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Where static surveys lose the useful detail

A fixed form can record an answer, but it cannot notice when the answer raises a better question.

Open text stays shallow

A response such as "checkout was confusing" identifies a symptom. Without a follow-up, you still do not know which step failed or what the respondent expected instead.

Branching predicts too little

Logic rules work for known choices. They cannot anticipate every objection, unexpected use case, or phrase a customer might introduce in an open answer.

The transcript still needs review

A CSV of free text pushes the real work downstream. Teams need a readable response summary and the original evidence together, without losing traceability.

A survey that actually asks follow-ups

Watch what happens when the AI hears 'it's fine', it asks the follow-up a form never would, and the answer gets specific fast.

Glacier Fitness

Probes for the why

Static forms accept vague answers. Diaform spots them and asks intelligent follow-up questions to uncover the root cause.

Dynamic & Adaptive

Real conversations can unfold in infinite, unpredictable directions — too many to map into a logic tree. Diaform doesn't build one; it just responds to each answer naturally, the way a person would.

Zero-Friction Launch

No login walls or scheduling links. Your audience starts instantly in their browser. No signup required. Works on any device.

What the Diaform AI survey tool actually does

The product conducts the conversation, preserves the raw response, and organizes each completed session for review.

Contextual follow-up questions

The AI reads the current answer and can probe for an example, clarify an ambiguous point, or move on when the question has been answered.

Voice and text in one link

Respondents can speak or type from a modern browser without creating an account. Your project controls the questions, context, tone, and presentation.

Question-by-question structure

The message history stays connected to the questions you planned, so your team can inspect what was asked, the follow-up, and the respondent's answer.

Response analysis with evidence

Completed conversations include summaries, sentiment, answer confidence, and optional notable quotes alongside the transcript. Routine values are not forced into a quote section.

Filters, analytics, and export

Review responses by date, status, and sentiment, inspect activity and geography, or export conversation data for analysis outside Diaform.

Actions during the conversation

Configure actions such as a relevant Slack notification or follow-up step when the conversation reaches a condition your team cares about.

How to run an adaptive AI survey

Start with the same research goal you would use for a survey, then give the researcher enough context to ask useful follow-ups.

01
Define the questions and context
Write the questions that must be covered, set the researcher instructions, and add relevant written or file context. Keep the study focused enough to finish naturally.
02
Preview the conversation
Test both voice and text, try a vague answer, and check whether the follow-up stays within the study goal before publishing the project.
03
Share or embed the project
Send the public link in email, place it in your product or website, or use it in a customer workflow. Respondents do not need a Diaform account.
04
Review the response and transcript
Read the overall summary, inspect answer-level sentiment and confidence, check any notable quote against the transcript, and export when you need further analysis.

Where AI follow-up surveys are most useful

Use an adaptive conversation when the reason behind an answer matters more than collecting another field.

Product feedback

Ask what worked or failed, then probe the exact screen, expectation, workaround, or consequence instead of stopping at a satisfaction score.

Churn and cancellation

Let a customer explain the decision in their own words and ask for the event, alternative, or unmet expectation behind the selected reason.

Onboarding feedback

Conversation new or stalled users about the point where setup became clear, confusing, or no longer worth completing.

Post-purchase surveys

Add a conversation link to the thank-you page or order email to learn why someone bought and what almost stopped the purchase.

Concept and message testing

Collect an initial reaction, then ask what wording, promise, or concern shaped it without scheduling a moderated call for every participant.

Customer research pulses

Run a focused qualitative check with your own audience when a live conversation is too slow but a fixed questionnaire would miss the explanation.

Static forms and adaptive AI surveys serve different jobs

Use a conventional form for predictable fields and high-volume measurement. Use an AI conversation when open-ended depth is the objective.

Traditional survey form

Best for fixed fields and quantitative measures
Same prompt unless a logic rule matches
Fast to scan across large datasets
Open-text clarification happens later, if at all
Often the better choice for short transactional forms

Diaform

Best for open-ended qualitative questions
Follow-up changes with the respondent's answer
Voice or text conversation in a browser
Summary, sentiment, confidence, and optional quotes
Full transcript remains available for verification

Frequently asked questions.

The practical details behind setting up, running, and scaling this kind of research with Diaform.

The label covers two different products. Some tools use AI to draft survey questions or analyze collected answers. Diaform uses AI to conduct the respondent conversation as well, including contextual follow-up questions based on what the person just said.

More conversations your team can run.

Explore the other ways Diaform can turn a static request for feedback into a useful conversation.

Your customers have more to say.

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