Use case: UX research
User insights, without the scheduling.
Qualitative UX research has always been slow, expensive, and hard to scale. Domanda makes it as easy as sharing a link.
Great UX research is just good conversations with the right people. The problem is finding time to have them. Domanda handles the conversation. You focus on the decisions.
The challenge
Qualitative research is the most valuable kind. And the hardest to run.
Recruiting participants takes time. Scheduling moderated sessions takes more. Writing discussion guides, conducting interviews, transcribing them, coding themes: the work stacks up fast.
So teams skip it. They ship based on analytics, gut feel, and the occasional NPS score. Then they wonder why users still aren't converting.
Domanda removes the operational weight from qualitative UX research. The depth stays. The overhead goes.
What you can run
Every stage of the UX research process
Discovery interviews
Understand the problem space before you design anything. What are users actually trying to do? Where do they get stuck today?
Concept validation
Share a concept, a prototype description, or a feature idea. Collect reactions from real users before writing a single line of code.
Usability feedback
Ask users to walk through a task and describe what they experience. The AI probes for friction, confusion, and unmet expectations.
Post-launch review
Collect structured feedback after a release. What worked? What surprised people? What would they change? Answered by every user who engages.
Onboarding walkthroughs
Understand where new users lose confidence or get confused. Identify the exact moments where your product loses people in the first session.
Competitive perception
Explore how users perceive your product relative to alternatives they've tried. Uncover your real differentiators, and your blind spots.
Example
What a concept validation interview looks like
A rating scale would have scored this feature a 3 out of 5. The conversation reveals it's actually a sync problem in disguise, and that the underlying need is bigger than the feature being tested.
How it works
From research question to insight report
Define your research question
What do you want to learn? Set the goal, the scope, and the tone. The AI builds the interview structure around your objective.
Recruit and share
Send the link to your existing users, a panel, or testers from a community. They start immediately, no downloads or accounts required.
AI moderates every session
The interviewer stays on topic, follows up on interesting threads, and asks clarifying questions. No moderator bias, no missed probes.
Themes and quotes, synthesized
Patterns across all sessions are surfaced automatically. Real user quotes are attached to each theme. Ready to share with stakeholders.
Traditional moderated research
- Recruit, schedule, confirm, reschedule
- Session by session, one at a time
- Transcribe, code, synthesize manually
- Weeks from question to answer
With Domanda
- Share a link, sessions start immediately
- Run 50 sessions in parallel
- Themes and quotes generated automatically
- Insights ready when the last session closes
Same depth. A fraction of the time.
Who uses this
For researchers, designers, and product teams who ship with confidence
- UX researchers running discovery or validation studies
- Product designers testing concepts before handoff
- Product managers de-risking roadmap decisions
- Design agencies running stakeholder and user interviews
- Startups doing early-stage problem validation
- Growth teams diagnosing conversion and activation problems
Research ethics built in
Participants can stay anonymous. You choose whether raw transcripts are accessible or whether only synthesized insights are shared with your team. GDPR-friendly by design.
Better conditions for honest, unguarded responses. Which is exactly what good research needs.