Qualitative analysis that keeps every theme tied to a quote.

Upload transcripts or open-ends. Usercall codes them into themes you can edit, guide and refine—with every finding linked back to the original words. Built for researchers and PhDs who need more than a ChatGPT chat history. Not a black box. Upload your first transcript free.

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Used for real qualitative analysis by researchers and teams at:
Common projects: dissertation and IRB-approved research, grant-funded studies, concept and campaign testing, brand and consumer insights, customer and product discovery, survey and focus group analysis, and client research reports.

🧐 From raw responses to defensible themes

Usercall analyzes transcripts and open-ended responses into structured codes, themes, summaries, and quote tables. Instead of a black-box summary, you get an inspectable analysis where each finding is connected to participant language.

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✨ Analyze large qualitative datasets without losing the evidence trail

Upload interview transcripts, survey responses, support conversations, or customer feedback. Usercall processes large volumes of qualitative data into themes, tags, summaries, and evidence-linked quotes, while preserving the context needed for serious analysis. Export structured outputs for reports, papers, client decks, or internal decision-making.

📊 Automated coding and thematic analysis

Start with AI-suggested codes and themes based on your research question and source data. UserCall groups related excerpts, builds theme hierarchies, and surfaces representative quotes. Refine, merge, split codes to create clear , reviewable qualitative analysis.

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Key Features

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Evidence-linked themes and codes

Turn transcripts, interviews, and open-ended responses into organized themes and codes. Each theme includes supporting excerpts, so you can trace every insight back to the original participant language.
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AI-assisted coding you can edit

Start with suggested codes or existing codebook based on your research questions and data. Merge, split, rename, or remove codes as your interpretation evolves, instead of being locked into the AI’s first pass.
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Finding audit and contradiction checks

Inspect whether each finding is well-supported, weakly supported, overstated, or contradicted by other evidence. Use audit checks to catch confident-sounding insights that need more scrutiny.
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Quote tables and report generation

Generate structured quote tables, theme summaries, and research reports from your analysis. Pull the strongest supporting evidence into decks, papers, client deliverables, or internal decision docs.
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Sentiment and emotion analysis

Understand emotional tone across responses without reducing qualitative data to simple positive or negative labels. Review sentiment in context, alongside the exact words participants used.
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Cross-language Qualitative Analysis

Analyze qualitative data across 32+ languages and compare themes across markets or participant groups. Preserve original meaning while surfacing shared patterns, cultural differences, and language-specific nuance.

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
Voice interviews: about 10-20 interviews per month (varies by duration)
Qualitative analysis: about 8 to 16 files analyzed per month (varies by file size)
Up to 12 minute interviews (2 links)
Advanced interview guide w/ flow and probe controls
Visual mockup/prototype testing w/ screen recording
Webhook & data analytics integrations (Posthog, Mixpanel, Shopify, GA etc)
Full call transcripts w/ summaries
Custom branded interview links with per-link personalization options
Support for 25+ languages and voices
Get started
Pro plan
$399/mo
or $3999 yearly
For research teams running in-depth interviews & analysis at scale
Includes 650 credits per month
Voice interviews: about 65 to 130 interviews per month (varies by duration)
Qualitative analysis: about 50 to 100 files analyzed per month (varies by file size)
Up to 45 minute interviews (10 links)
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
Voice interviews: about 30 to 60 interviews per month (varies by duration)
Qualitative analysis: about 25 to 50 files analyzed per month (varies by file size)
Up to 25 minute interviews (5 links)
Unlimited AI chat qualitative insight Q&A
Live user session/interview observation with ability to ask questions in real-time
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. Pay-as-you-go options available. Contact us for for custom volume plans, annual plans or one-off project support.

FAQ

Is this a QDA tool like NVivo, MAXQDA, or ATLAS.ti?

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Usercall is an AI-native qualitative analysis tool. It helps you code, theme, summarize, inspect, and report on qualitative data faster. It is lighter than traditional QDA software, but built around evidence-linked analysis rather than manual coding from scratch.

How do I know the AI did not hallucinate or overstate findings?

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Usercall links findings back to supporting quotes and helps flag weak evidence, overclaims, contradictions, and possible missing evidence.

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.

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 edit the AI-generated codes and themes?

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Yes. You can refine, merge, split, rename, or remove codes and themes to match your research lens. You can define custom themes, add your own existing codebook, 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 analyze qualitative data you can actually defend?

Upload transcripts, open-ended responses, or customer conversations and turn them into structured, evidence-linked themes.
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