WHO ITS FOR: 

UX Researchers

UX Research Without the Bottlenecks

User interviews are vital. But scheduling them, moderating them, and manually analyzing them? That’s where time disappears.

With Voice-AI and automated qualitative analysis, you can run structured interviews asynchronously—and get clean, thematic insights in hours instead of days.

Try It Now Free

Research Is Broken for Lean UX Teams

You’ve probably said one of these in the past month:

  • “I want to do interviews, but I just don’t have time to schedule and run them.”
  • “We keep delaying research because no one can moderate.”
  • “Transcribing and coding takes longer than the interviews themselves.”
  • “Stakeholders want quick insights, not 15-page reports.”
  • “I’m the only researcher across three product teams.”

You’re not alone. That’s exactly why we built this.

Features Image

Let AI Run the Interviews For You

Skip the calendar wrangling. With our AI-moderated interview flows, participants speak naturally—on their own time—and your guide gets followed every time.

- Create a flexible, voice-based interview guide
- The AI asks your questions and probes when needed
- Share a single link—no scheduling required
- Collect dozens of responses in just a day or two

It’s structured like a real interview. Just... without needing you to be there.

From Raw Voice to Real Insight—Automatically

Once responses are in, our AI turns every voice file into a clean, searchable, structured summary.

- Auto-transcribes with >95% accuracy
- Tags and clusters themes across interviews
- Highlights key quotes, pain points, and emotions
- Lets you search by keyword, topic, or theme
- Generates insight summaries and shareable reports

Instead of a pile of recordings, you get an organized, actionable synthesis—without touching a spreadsheet.

Features Image

How UX Teams Use UserCall

From product validation to continuous discovery—here’s how researchers and designers use async interviews + AI analysis to move faster, with less effort.

🧪 Product & Concept Validation

Test early-stage ideas, value props, and feature concepts—before writing a line of code.

🎨 Design Feedback

Capture voice reactions to mockups, UI flows, or prototypes—without scheduling live sessions.

📣 Message & Copy Testing

See what resonates. Understand how users interpret your headlines, CTAs, or product language.

🧍‍♀️ Lean or Solo Research

Support multiple teams without burning out. No need to moderate or manually code sessions.

🌍 Global & Remote Studies

Collect feedback from users in any time zone, async. Great for international UX or localization research.

🔁 Continuous Discovery

Embed lightweight interviews into your product process. Stay close to user needs without slowing down delivery.

What UX Researchers Are Saying

“I used to transcribe interviews after work just to keep up. Now I wake up to clean insights.”— Lead UX Researcher, B2B SaaS
“This gave us a 3× faster turnaround on our last project. PMs love it. Designers use it. We’re not going back.”
— Research Ops Manager

Built for the Way You Actually Work

Features Image

No scheduling required

Let participants respond when it works for them—without needing you live on a call
Features Image

Customizable guides

Ask your own questions. Add mockups and control probing. Get consistent structure across sessions.
Features Image

Fast nuanced analysis

AI does the first pass—tagging themes, pulling quotes, clustering language—so you don’t start from scratch.

FAQ

1. How does the AI moderator actually work?

keyboard_arrow_down

You design the interview guide—questions, probes, and flow—and the AI runs it via voice, asking each question naturally and following up when needed. Participants respond asynchronously, and everything is recorded, transcribed, and analyzed automatically. No live sessions, no scheduling.

2. Can this replace traditional moderated interviews?

keyboard_arrow_down

For many common UX research needs—like usability feedback, concept testing, or message validation—yes. You get high-quality, open-ended responses without scheduling live sessions. It won’t fully replace in-depth, exploratory interviews, but for fast, scalable research, it’s often more efficient.

3. How does the AI analyze responses?

keyboard_arrow_down

Once voice responses are collected, the AI transcribes and tags them with key themes, patterns, and sentiment. You can then edit, merge, or label themes as needed. It’s like starting your synthesis at 70% complete—saving hours of manual coding or affinity mapping.

4. Can I upload my own interview recordings?

keyboard_arrow_down

Yes. If you've already conducted interviews via Zoom, Lookback, or other platforms, you can upload the recordings directly. The AI will transcribe and analyze them just like our voice interviews.

5. How customizable is the interview experience?

keyboard_arrow_down

You’re fully in control. Build custom guides with branching logic, follow-up probes, and embedded content like mockups or images. Create different flows for different segments—or reuse proven templates across teams.

6. How is this different from Dovetail or similar platforms?

keyboard_arrow_down

UserCall is AI native and handles everything end-to-end: AI moderation, transcription, analysis, and reporting. Tools like Dovetail are great for manual post-hoc tagging, but we automate the entire workflow so you get insights faster, with less effort—while maintaining full research controls and nuance.

Ready to revolutionize your qualitative research?

Join leading researchers and insights teams already using UserCall to analyze qualitative data 10x faster with greater depth and accuracy.
👉 TRY IT NOW FREE

Should you be using an AI qualitative research tool?

Do you collect or analyze qualitative research data?

Are you looking to improve your research process?

Do you want to get to actionable insights faster?

You can collect & analyze qualitative data 10x faster w/ an AI research tool

Start for free today, add your research, and get deeper & faster insights

TRY IT NOW FREE