Research-grade qualitative analysis, without manual coding

Analyze interviews, open-ended responses, and transcripts into structured themes—each linked to supporting quotes. No manual coding or weeks of tagging. Every theme links directly to supporting quotes for full transparency.

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🧐 Uncover hidden patterns in qualitative data

Identify themes, patterns, and sentiment across responses while preserving context and nuance. Analyze qualitative data in a structured way, with insights grounded in real participant language.

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✨ Insight reports from hundreds of responses in minutes

Analyze large volumes of interview transcripts, survey responses, and customer feedback simultaneously. Analyze hundreds of responses in minutes, not days. Maintain rich context and nuance so you can extract to high quality insights much faster.

📊 Automated Coding & Thematic analysis

Replace manual coding with AI-powered theme extraction. UserCall automatically identifies recurring themes, creates code hierarchies, and generates visual representations of your qualitative data—saving researchers days of tedious work.  → Try It Now

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Key Features

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Sentiment Analysis & Emotion Detection

Go beyond basic positive/negative sentiment analysis. Detect complex emotions, intensity levels, and contextual nuances in participant responses to understand the emotional landscape of your research data.
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Automated Coding/Tagging, Theme & Report Generation

Start with AI-suggested coding based on your research questions and data. Refine and customize your coding structure as needed, with the flexibility to merge, split, or redefine codes throughout your analysis.
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Cross-language Qualitative Analysis

Analyze qualitative data in 32+ languages without translation bias. Compare themes across cultural contexts and identify universal patterns while preserving language-specific nuances and expressions.

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 13 qualitative analysis
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 81 qualitative analysis
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 38 qualitative analysis runs
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 AI really understand qualitative data?

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AI can identify themes, patterns, and sentiment across large datasets quickly, but it doesn’t replace human judgment. Usercall gives you a structured starting point with themes and supporting quotes, which you can review, refine, and interpret. The goal is to accelerate analysis without losing nuance.

How does Usercall analyze qualitative data without losing nuance?

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Usercall extracts themes directly from responses while preserving context and meaning. The workflow is similar to how an expert human researcher might do qualitative anlaysis or thematic analysis—by reviewing each transcript line by line, maintaining a codebook, factoring in larger storyline for each transcript..etc. Every theme is linked to supporting quotes, so you can always trace insights back to the original participant language instead of relying on summaries.

Can AI replace manual qualitative coding?

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Usercall reduces the need for manual coding by generating initial themes and structure automatically. Researchers can then review, adjust, and refine the results, combining speed with methodological control.

How is Usercall different from NVivo or Dovetail?

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Usercall automates theme extraction and coding while keeping every insight linked to supporting quotes. Instead of manually tagging data over days or weeks, you get a structured, traceable analysis in minutes that you can refine as needed. See how Usercall compares with NVivo, Dovetail or Atlas ti

What types of qualitative data can I analyze?

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You can analyze interview transcripts, open-ended survey responses, focus group data, and VoC or customer feedback. Usercall works with any unstructured text-based qualitative data.

Can I customize how themes and tags are generated?

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Yes. You can define custom themes, add your own existing coebook, adjust AI-generated codes, and refine the structure as your analysis evolves. You stay in control of how insights are organized and interpreted.

Can Usercall be used for academic research or dissertations?

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Yes. Usercall is used by researchers and students to analyze qualitative data for academic projects. It helps speed up coding and theme development while maintaining transparency through linked quotes. It can also serve as a baseline to compare with human coded themes to test bias and areas that may have been missed. Learn more about Usercall for academic research and evaluation.

How does Usercall handle research ethics and data privacy?

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Data is encrypted in transit and at rest, and you can anonymize participant information. Usercall supports common research requirements, including GDPR and IRB considerations, and gives you control over data access and retention.

How do you analyze open-ended survey responses at scale?

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Usercall groups responses into themes and links each theme to supporting quotes. This lets you quickly see patterns across hundreds of responses while still understanding the reasoning behind them.

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.
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