Too few participants per study
Five users is a heuristic, not a guarantee. Sample sizes stay small because moderation doesn't scale, and stakeholders quietly discount findings that don't match their priors.
An AI co-moderator for your hardest bottleneck.
Diaform handles moderation and first-pass synthesis. You run more studies with more participants, and spend your time where you're irreplaceable: framing the question and interpreting the result.
14-day free trial · No demo required
Where UX research breaks at scale
The same intro, fifty times
You explain the study, walk through consent, set the context, every single session. Hours of skilled time spent on a script that should be automated.
Synthesis is the longest step
Recordings pile up. Coding takes longer than the conversations themselves. The insight is real but the deck arrives two sprints late.
Why UX researchers use Diaform
01
Adaptive moderation
The AI follows your guide, probes when answers are shallow, drills into JTBD signals, and recovers from off-topic responses. Think of a trained junior moderator who never tires.
02
Voice or text, participant's choice
Voice answers come back 2-3× longer and richer. Participants can speak naturally; the AI transcribes, summarizes, and tags themes automatically.
03
First-pass synthesis built in
Every transcript arrives with a summary, sentiment, and theme tags. Cross-study clustering surfaces patterns you'd otherwise spend a week coding.
04
Per-study knowledge base
Upload your discussion guide, prototype links, and product context. The AI uses it to ask informed follow-ups and stay on protocol.
05
30+ languages
Run global studies without translators. The AI runs in the participant's native language and summarizes back to English.
06
ResearchOps friendly
One link per study, branded subdomain, CSV and webhook exports. Drops cleanly into your existing research repository.
Studies UX researchers run on Diaform
Discovery conversations
Open-ended exploration with target users. The AI probes naturally so you get the depth without sitting in 30 sessions.
Jobs-to-be-Done
Run JTBD conversations at scale. The AI follows the timeline and pushes for the trigger, anxiety, and progress story.
Usability friction studies
Pair with a prototype link. Capture think-aloud reactions and frustration moments without a moderator on every call.
Persona refresh
Quarterly studies to validate that your personas still match who's using the product.
Concept testing
Show a concept, ask for unaided reaction, then probe. Run with 100 users in a week instead of 8 over a month.
Diary-style follow-ups
Send the same link weekly to a panel and watch how perceptions evolve over time.
Frequently asked questions.
The practical details behind setting up, running, and scaling this kind of research with Diaform.
No, it's a co-moderator. The framing, hypothesis, and interpretation stay with you. The AI handles the mechanical parts: explaining consent, asking the script, probing where you'd probe, transcribing, and tagging. The result is you running more studies, not fewer.
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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