No conversational depth
Maze is task-based. Surveys are static. There's no AI follow-up when an answer hints at something interesting.
Diaform vs Maze: AI-led interviews or unmoderated tests?
Maze is unmoderated usability testing with quantitative metrics. Diaform is AI-led qualitative interviews. They sit in different categories, and most teams need both.
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Feature-by-feature comparison
Maze
Research method
AI-led qualitative interviews. The AI listens, follows up, and synthesizes, answering the why behind user behavior.
Unmoderated task-based testing. Respondents complete tasks on a prototype or live page; metrics get captured automatically.
Live moderation
Adaptive AI follow-ups (1, 3, or 5 deep) per answer, the closest thing to a moderator without putting one in the room.
Unmoderated by design. No follow-ups; respondents complete the test without anyone (human or AI) intervening live.
Voice answers
Whisper voice input plus a natural ElevenLabs AI voice. Voice answers are typically 2-3× longer than typed responses.
Text-based responses on survey blocks. No conversational voice capture in the moderated-interview sense.
Open-ended depth
Per-response summary, sentiment, confidence, keywords, and notable quotes, qualitative depth without manual coding.
Open-text survey blocks exist, but there's no AI follow-up or built-in synthesis for qualitative answers.
Click / heatmap metrics
Diaform captures conversation, not clicks, no heatmaps, misclick maps, or interaction analytics on a prototype.
Misclick heatmaps, click paths, and visual analytics on prototype screens, purpose-built signal for usability decisions.
Prototype testing
Diaform doesn't host or test prototypes. Use Maze for the prototype task, then chain a follow-up interview here.
Native Figma, Adobe XD, Sketch, and InVision prototype testing, first-class workflow for design validation pre-launch.
Task-completion metrics
No success-rate or time-on-task metrics, it's an interview tool, not a usability instrument.
Success rate, time on task, mission paths, and direct/indirect success metrics, the quant backbone of unmoderated testing.
Synthesis
Auto-synthesis per conversation: summary, sentiment, themes, and notable quotes generated without a coding session.
Reports aggregate quantitative results well; qualitative themes still require a researcher to read and code.
Pricing
14-day trial. Pro $89/mo ($74/mo annual). Business $149/mo ($124/mo annual). Self-serve and transparent.
Free plan with limits, Team ~$99/mo, Organization ~$208/mo (annual). Enterprise tier above that.
Best for
Churn interviews, onboarding feedback, concept tests, JTBD, the qualitative why behind a behavior or metric.
Pre-launch prototype validation, message tests, click tests, quantitative usability signal at scale.
Research method
Diaform
AI-led qualitative interviews. The AI listens, follows up, and synthesizes, answering the why behind user behavior.
Maze
Unmoderated task-based testing. Respondents complete tasks on a prototype or live page; metrics get captured automatically.
Live moderation
Diaform
Adaptive AI follow-ups (1, 3, or 5 deep) per answer, the closest thing to a moderator without putting one in the room.
Maze
Unmoderated by design. No follow-ups; respondents complete the test without anyone (human or AI) intervening live.
Voice answers
Diaform
Whisper voice input plus a natural ElevenLabs AI voice. Voice answers are typically 2-3× longer than typed responses.
Maze
Text-based responses on survey blocks. No conversational voice capture in the moderated-interview sense.
Open-ended depth
Diaform
Per-response summary, sentiment, confidence, keywords, and notable quotes, qualitative depth without manual coding.
Maze
Open-text survey blocks exist, but there's no AI follow-up or built-in synthesis for qualitative answers.
Click / heatmap metrics
Diaform
Diaform captures conversation, not clicks, no heatmaps, misclick maps, or interaction analytics on a prototype.
Maze
Misclick heatmaps, click paths, and visual analytics on prototype screens, purpose-built signal for usability decisions.
Prototype testing
Diaform
Diaform doesn't host or test prototypes. Use Maze for the prototype task, then chain a follow-up interview here.
Maze
Native Figma, Adobe XD, Sketch, and InVision prototype testing, first-class workflow for design validation pre-launch.
Task-completion metrics
Diaform
No success-rate or time-on-task metrics, it's an interview tool, not a usability instrument.
Maze
Success rate, time on task, mission paths, and direct/indirect success metrics, the quant backbone of unmoderated testing.
Synthesis
Diaform
Auto-synthesis per conversation: summary, sentiment, themes, and notable quotes generated without a coding session.
Maze
Reports aggregate quantitative results well; qualitative themes still require a researcher to read and code.
Pricing
Diaform
14-day trial. Pro $89/mo ($74/mo annual). Business $149/mo ($124/mo annual). Self-serve and transparent.
Maze
Free plan with limits, Team ~$99/mo, Organization ~$208/mo (annual). Enterprise tier above that.
Best for
Diaform
Churn interviews, onboarding feedback, concept tests, JTBD, the qualitative why behind a behavior or metric.
Maze
Pre-launch prototype validation, message tests, click tests, quantitative usability signal at scale.
Different research jobs
Maze is built for unmoderated, task-based testing, prototype tests, click tests, message tests, with quantitative metrics like success rate, time on task, and misclick heatmaps. If you're shipping a redesign and need to validate a flow at scale, Maze does it well.
Diaform answers the why behind those numbers. The AI runs each interview as a real conversation: "you said the pricing page felt confusing, which part?", capturing sentiment, themes, and notable quotes that a click test can't surface.
Where Maze stops short
Quant signals, qual gaps
Click data tells you where users got stuck. It rarely tells you why, which is the answer you need before you change anything.
Limited for non-prototype research
Churn interviews, onboarding feedback, jobs-to-be-done, outside Maze's task-test wheelhouse.
Where Diaform fills the gap
AI follow-ups for the why
Adaptive probing (1, 3, or 5 deep) on every answer, turns vague responses into specific insight.
Voice or text
Voice answers are 2-3× longer. Whisper input + ElevenLabs voice make it feel like a real interview.
Sentiment + themes auto-extracted
Per-conversation summary, sentiment, confidence, keywords, and notable quotes. No manual coding.
Triggered actions in flow
13 topic + 5 sentiment triggers, alert Slack on a churn risk, capture an email, offer a discount mid-conversation.
Knowledge base per project
Upload product context (up to 50k tokens) so the AI can ask grounded questions about your roadmap, pricing, or features.
30+ languages
Run interviews in respondents' native languages, summaries back in English.
Pick the right tool for the job
When Maze is the better fit
Maze is the right pick for prototype testing, click tests, and message tests, anywhere you need a success rate or a heatmap on a defined task. It also fits pre-launch usability checks where you need quantitative validation across a large sample quickly.
When Diaform is the better fit
Diaform is built for open-ended qualitative work, churn calls, onboarding feedback, concept tests, and jobs-to-be-done conversations. Use it anywhere you need the why behind the data, with sentiment, themes, and notable quotes generated automatically instead of coded by hand.
Frequently asked questions
Q
Are Diaform and Maze competitors?
Mostly complementary. Maze owns unmoderated usability and prototype testing; Diaform owns AI-led qualitative interviews. Many teams run both.
Q
Can either replace the other?
Not cleanly. Replacing Maze with Diaform loses click metrics; replacing Diaform with Maze loses real conversational follow-ups.
Q
How does pricing compare?
Maze Team is around $99/mo and Org around $208/mo (annual). Diaform Pro is $89/mo and Business $149/mo (annual discounts), with a 14-day trial to evaluate fit.
Q
Does Diaform handle prototype testing?
Diaform doesn't replace prototype task tests. It can run a follow-up interview after a Maze test to capture the why, many teams chain them.
Q
Can I send a Maze test inside a Diaform flow?
Diaform supports a redirect-to-URL action, you can send respondents into a Maze test (or anywhere else) mid-conversation when a trigger fires.
Q
Will my data train AI models?
Diaform does not use customer conversation data to train AI models.
Explore more
Dive into the other ways Diaform can power your research.
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