Qualitati
Summary
Most AI research tools charge you a discovery call before you can see the price — and their analysis pipelines are black boxes that give you themes with no trail back to who said what.
Qualitati runs AI-moderated text and voice interviews, focus groups, and conversational surveys, then runs thematic analysis across up to 100 transcripts in a single pass. The ThemeLens pipeline maps codes to your research questions and anchors quotes to specific participants, so you can audit the output — not just accept it. Voice analytics extract acoustic features from audio, which is useful for emotional tone work but depends on your team knowing what to do with pitch and speech-rate data. The 10-language support covers Mandarin via Xunfei ASR and everything else via ElevenLabs, which means transcript quality varies by language. Teams running purely quantitative studies will find the tool misaligned — this is built for qualitative depth at scale.
Bottom line: Pick Qualitati when you need to run multilingual qualitative interviews and get auditable themes without booking a sales call — but expect to supplement it if your research program requires survey-level statistical analysis or integrates directly with BI tooling.
Pricing Plans
SubscriptionLast verified 1 week ago- Price
- €9/month to €99/month
- Free Tier
- 30 monthly credits (non-cumulative), Unlimited Surveys, Unlimited access to Mimi bot, ThemeLens/Voice Analysis/Proofreader (credit-based)
Free
Free people exploring qualitative AI tools
- 30 monthly credits (non-cumulative)
- Unlimited Surveys
- Unlimited access to Mimi bot
- ThemeLens, Voice Analysis & Proofreader (credit-based)
Student
Students, early-career researchers, and anyone on a tight budget
- 600 Research Credits per month
- ~10 hours/month of standard AI interviewing
- Unlimited QDA Workspace
- ThemeLens, Voice Analysis & Manuscript Proofreader (credit-based)
Researchers
Solo researchers in UX, marketing, HR, and academia. Most Popular
- 1,200 Research Credits per month
- ~20 hours/month of standard AI interviewing
- Unlimited QDA Workspace
- Abundant AI Interviews, ThemeLens, Voice Analysis & Proofreader (credit-based)
Team
For product, UX, and insights teams
- Everything in Researchers plan
- Team workspaces and priority support
- Up to 15 seats per workspace
- Shared studies and credit pool across the team
- Priority support + onboarding session
Organizations
Research Agencies, Labs, Enterprise Teams
- Unlimited / Volume Credits
- Multi-seat Team Management (Admin/Member roles)
- Centralized Billing
- Priority Support
View full pricing on qualitati.com →
Pricing may have changed since last verified. Check the official site for current plans.
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Pros
Sign in to edit- ThemeLens maps themes back to specific participant quotes rather than producing free-floating summaries, so you can trace every insight to its source and defend your findings in a stakeholder review.
- AI moderator adapts follow-up questions in real time based on participant responses, which means you stop getting the flat, scripted-survey problem where interesting tangents get dropped.
- Ten supported languages with native UI, using dedicated ASR per language family, so Mandarin interview quality does not degrade the way it does on tools that run everything through a single English-trained model.
- Pricing is published and the free tier requires no credit card, which means you can validate the tool against a real research brief before any budget conversation.
- Active Listener mode surfaces real-time prompts for a human interviewer shadowing a session, so you stay in the loop on live interviews without taking over from the AI moderator.
Cons
Sign in to edit- Voice analytics output — pitch, loudness variability, speech rate — requires the research team to interpret acoustic features themselves; the platform surfaces the data and adds AI-generated managerial insights, but teams without a background in acoustic or behavioral research will not know what to do with it at scale.
- There is no self-hosted option. Teams operating under data residency requirements or enterprise security policies that prohibit sending participant audio and transcripts to a third-party hosted platform reach a hard stop — the answer is a competitor with on-prem or private-cloud deployment, not a workaround.
- The tool is built around qualitative depth: conversational surveys, interview transcripts, thematic coding. Teams whose research program requires quantitative survey analytics, statistical testing, or direct export to BI dashboards will find themselves exporting raw data and rebuilding analysis in another tool — at which point the case for Qualtrics or a dedicated survey platform becomes straightforward.
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About
- Platforms
- Web
- API Available
- No
- Self-Hosted
- No
- Last Updated
- 2026-06-30T09:27:41.634Z
Best For
Who it's for
- Product and UX research teams
- Customer insights professionals
- Multilingual qualitative research projects
- Teams seeking transparent pricing alternatives to sales-led tools
What it does well
- Conducting AI-moderated user interviews
- Running AI-moderated focus groups
- Deploying conversational surveys for qualitative data
- Performing AI thematic analysis on interview transcripts
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Frequently Asked Questions
- Is Qualitati free?
- Qualitati has a permanent free tier alongside paid upgrades (paid plans from €9/month to €99/month). You can keep using a baseline version indefinitely without paying.
- Is Qualitati open source?
- No — Qualitati is a closed-source tool. Source code is not publicly available.
- What platforms does Qualitati support?
- Qualitati is available on: Web.
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Curated lists that include this category
Qualitati is a hosted AI user research platform built for product, UX, and customer insights teams who need to run moderated interviews, focus groups, and conversational surveys, then turn those transcripts into analyzed themes — without stitching together five separate tools. The core workflow runs end-to-end: participants join a text or voice session with an AI moderator that adapts follow-up questions based on what they actually say, responses get transcribed and processed, and ThemeLens runs a map-reduce pipeline across up to 100 transcripts at once, surfacing themes with representative quotes anchored back to the participants who said them. A QDA Workspace supports both inductive and deductive coding for teams that want to work the data manually alongside the AI.
The differentiating feature is the combination of published pricing and methodology transparency. The vendor states the AI moderator behavior, thematic analysis pipeline, and a dual-model supervisor architecture are documented and iterated against academic qualitative research literature — with the platform founded by an HEC Paris researcher. That positioning matters when you need to defend your research methodology internally or to clients, not just ship a report. Most direct competitors in this category — the vendor names Outset.ai, Strella, and Listen Labs explicitly — require a demo before you see pricing; Qualitati publishes per-credit rates and offers a free-tier entry point with no card required.
The platform fits teams running interview-heavy, qualitative-first research programs, especially those working across languages: 10 languages are supported with native UI, using Xunfei ASR for Mandarin and ElevenLabs Scribe v2 elsewhere. Where it breaks: teams needing deep quantitative survey analytics, statistical significance testing, or direct integration with BI platforms will hit the edges quickly — the tool is optimized for qualitative depth, not mixed-methods at scale. There is no self-hosted option, so teams with strict data residency requirements will need to evaluate that constraint separately before committing.