Broader Evidence.
More Confident Insights.

Run AI-moderated voice interviews or analyze existing qualitative data to uncover evidence-linked themes, quotes, and patterns across interviews, segments, markets, and concepts.

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Voice Interview

Better coverage. Less manual work. More confidence.

Expand qualitative coverage across interviews, transcripts, segments, markets, and concepts without sacrificing depth, structure, or evidence traceability.

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Ask “why” when the context is still fresh

Trigger short AI-moderated voice or text interviews after key product moments: signup, onboarding friction, upgrade hesitation, feature adoption, cancellation, or checkout abandonment.

Instead of waiting weeks to schedule research, capture real explanations while the context, emotion, and intent are still fresh, grounded in who they are and what they just did.

‍Product Event → AI Voice Interview → Evidence-Linked Themes

Works with the analytics tools you already use:

 → Explore Research Triggers

From transcripts to evidence-linked themes

Turn interview transcripts and qualitative data into organized theme hierarchies, tagged excerpts, and decision-ready insight clusters. Every theme links directly to supporting quotes, keeping conclusions grounded in real customer language—not generic summaries or disconnected pull-quotes.

 → Try AI Qualitative Analysis

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AI-moderated interviews with structured probing

Conduct structured one-to-one voice interviews using AI interviewers trained in qualitative research best practices. Trigger conversations when it matters—after key user actions or drop-off moments. Get consistent, unbiased follow-ups aligned to your goals, with full control over guide structure and interview flow.

→ See Real User Conversations

The Old Way

❌ Schedule interviews weeks later
❌ Small sample sizes limited by researcher time
❌ Hard to run the same study across markets or segments
❌ Guessing at vague one-line survey answers with no context
❌ Hours of manual hand selected quotes with inconsistent tagging
❌ Decisions backed by thin or disconnected evidence
VS

The NEW Way

✅ Interview the right people at the right time at key moments
✅ More interviews across segments without adding moderator time
✅ Multi-language, multi-market research with consistent guides and outputs
✅ Voice conversations rich with user emotions, nuance and intent
✅ Structured, theme-level organization w/ quotes behind every claim
✅ Broader qualitative backing across segments

For teams and researchers who need confidence from qualitative evidence

Get clear, evidence-linked answers from interviews, transcripts, and real user conversations.

Product & Design Teams

Understand why users drop off, don’t convert, or don’t adopt features

Market Research Agencies

Handle more projects without cutting corners on depth or quality

Brand & Marketing Teams

See how messaging actually lands across segments and markets

Insight & Strategy Leaders

Get a clearer, more reliable view of what’s really happening across markets

See who uses Usercall →

Use Cases

When decisions need stronger qualitative evidence, Usercall helps teams gather more conversations into patterns they can trust.

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Customer & Product Discovery

Uncover unmet user needs, jobs-to-be-done, and hidden pain points to guide new features, products or innovations  with real voice-of-customer insight.
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Brand Message & Positioning Insights

Validate messaging and positioning across segments so brand decisions are backed by broader qualitative evidence—not isolated interviews.
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Effortless Multi-Language & Cross Cultural Research

Run global research without global complexity. Reach customers in 30+ languages with AI-powered translation and moderation. No need for translators or local research teams.
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Thematic Analysis & Pattern Recognition at Scale

Automatically detect recurring themes, pain points, desires, and sentiment trends across hundreds of interviews without manual coding.
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Nuanced customer segmentation & formative research

Surface initial broad patterns in motivations, mindset, and behaviors across more segments to shape research direction, prioritization, and early strategy decisions.
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Concept, Prototype & Usability Feedback

Test early concepts, mockups, and prototypes to capture first impressions, version preferences, usability issues, and unmet expectations before launch.
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Cross-Check and Extend Manual Qualitative Coding

Validate initial codes, spot gaps or inconsistencies, and extend early themes across larger interview sets without re-coding from scratch.
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Churn, Adoption & Onboarding Friction

Learn why users disengage, churn, or fail to reach value by pinpointing confusion, unmet expectations, and decision breakdowns in real conversations.
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NPS / CSAT Deep Dives That Explain the Score

Go beyond numeric scores to understand the real reasons behind customer sentiment, frustration, and satisfaction.

Explore Use Cases by Team →

Simple & flexible pricing

Start with Support and build your own custom solution or choose The Suite

Lite plan
$89/mo
or $899 yearly
For quick validation & small qualitative projects
Includes 100 credits per month
Up to 12 minute interviews (2 links)
Up to 30 qualitative analysis runs monthly
Advanced interview guide w/ flow and probe controls
Visual mockup/prototype testing w/ screen recording
Full call transcripts w/ summaries
Custom branded interview links
Additional credits available anytime
Get started
Pro plan
$399/mo
or $3999 yearly
For research teams running in-depth interviews & analysis at scale
Includes 650 credits per month
Up to 45 minute interviews (10 links)
Up to 200 qualitative analysis runs monthly
Unlimited AI chat qualitative insight Q&A
Outbound phone calling option (add-on)
Up to 6 team seats
Plus everything in Core
Get started
Core plan
$199/mo
or $1999 yearly
For teams running ongoing interviews & analysis
Includes 300 credits per month
Up to 25 minute interviews (5 links)
Up to 100 qualitative analysis runs monthly
Unlimited AI chat qualitative insight Q&A
Plus everything in Lite
Get started
Custom plan
Contact
Custom credits
Custom team seats
Custom max interview minutes
Custom qualitative data analysis runs
Custom voices, languages and accents
Custom branding / white-labeling options
Custom agent skills & knowledgebase options
Custom integrations & features
Plus everything in Pro plan
Contact Us
Credits are used based on interview length and analysis depth. Contact us for for custom volume plans, annual plans or one-off project support.

FAQ

Does UserCall replace qualitative researchers? ✅

No. UserCall turns AI into the individual contributor, and researchers into orchestrators of insight. It's built to extend research capacity, not replace expertise. Teams use it to handle scale, speed, and logistics—so researchers can focus on framing the right questions, interpreting results, and shaping decisions.

When should teams use UserCall instead of traditional interviews? 📝

UserCall is best used when teams need the depth of real customer conversations, but traditional interviews don’t fit the required timeline, scale, or number of markets.

It’s commonly used when teams need to run many interviews quickly, work across regions, or remove scheduling and moderation bottlenecks—while still maintaining structured, high-quality qualitative insight

How does UserCall support qualitative analysis without losing nuance? 💬

UserCall analyzes interviews line by line to surface themes, patterns, and key moments across large datasets—work that would otherwise take researchers days or weeks. And we know the cookie-cutter responses you might get from dumping data to chatGPT isn't sufficient.

It’s designed to accelerate first-pass analysis, not replace expert judgment. Researchers stay in control, review excerpts, refine themes, and decide what insights matter.

Can I customize how AI tags and analyzes data? 📊

Absolutely! You can set custom themes, tags, and filters to align AI analysis with your specific research goals. You can also chat with your qualitative data with Usercall's Q&A feature and get detailed analysis such as frequency analysis, tag/theme summaries with supporting user quotes/excerpts and much more.

How is customer data handled and protected? 🔒

Usercall is designed to handle user research data securely.
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- Data is encrypted in transit and access is controlled.
- We use trusted providers (e.g. Supabase, OpenAI, Anthropic, Deepgram) to process data.
- Data may be processed across regions depending on these services.
- We do not use customer data to train AI models.
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In practice, any personal data typically originates from the source material (e.g. transcripts), so we treat all data as potentially sensitive.

Will my data be used to train AI models? 🤖

No. Usercall does not use customer data to train AI models. Your data is only processed to generate themes, summaries and insights for your own use.

How long are AI-moderated voice interviews?⏳

Interviews typically range from a few minutes up to 45 minutes. Most teams find that focused, well-structured conversations deliver strong insight without participant fatigue—especially when interviews are asynchronous and self-paced.

How natural does talking with the AI interviewer feel for participants? 💬

UserCall is designed to feel conversational and low-pressure. Participants speak at their own pace, without interruptions or time constraints.

Many users open up more than they would in live interviews (no need to look good or please the interviewer), especially when discussing personal experiences. It’s always clearly communicated that they’re speaking with an AI interviewer.

What kind of follow-up questions can the AI ask? 🧐

Follow-ups are generated based on participant responses and your interview setup. You can fully control when the AI asks follow-ups, how many it asks, and whether questions are phrased exactly as you define or via  guided by a custom prompt that matches your research objective. This ensures depth without losing consistency.

How does UserCall help reduce bias in interviews? ✅

UserCall applies consistent questioning and neutral probing across every interview.This removes variation caused by different moderators, avoids leading questions, and helps ensure insights are grounded in participant experiences rather than interviewer interpretation.

What is UserCall not? ❌

UserCall is not a traditional survey tool—though teams often use it instead of surveys when they need deeper, more reliable qualitative insight.

It does not generate synthetic users or simulated responses. Every interview is conducted with a real person in a one-to-one voice conversation.

UserCall is also not a fully autonomous replacement for human-led strategic research. Researchers still define goals, shape questions, and interpret results.

UserCall is built to remove the operational bottlenecks of qualitative research—especially when surveys fall short and traditional interviews don’t scale.

Do you offer user recruiting or user research panel? 🌎

Yes. We are working with a global panel with 4M+ trusted consumer and b2b professional participants—that you can target by location, job title, industry, demographics and more.  Contact us for details

Can the agent speak in other languages or personalities? 🇺🇸🇩🇪🇮🇳🇪🇸🇵🇹🇬🇧🇧🇷

Yes. We can customize your AI agent to speak a specific language or accent (Portugese, Chinese, 8+ regional Indian languages, German, Indonesian, English with dozens of accents..etc) as well as allow you to choose from hundreds of AI voices and personalities. Contact us for details.