Qualitati vs Marvin: Collection-First vs Repository-First AI Research
Marvin (HeyMarvin) is an AI-native insights repository that also offers AI-moderated interviews; Qualitati is collection-first — AI interviews, conversational surveys, and focus groups with published usage pricing and 10 fully translated participant languages.
At a glance
Qualitati and Marvin (HeyMarvin) overlap more than most pairs in this series: both run AI-moderated interviews and both analyze qualitative data with AI. The center of gravity differs. Marvin is repository-first — its strength is pulling scattered customer knowledge into one searchable hub with an AI notetaker and Ask AI across everything, and its paid tiers are contact-sales. Qualitati is collection-first — AI interviews (text + voice), conversational surveys, and focus groups feed ThemeLens thematic analysis and a QDA workspace with codebook generation and Cohen's kappa — with all usage prices published. Both offer real free plans.
Qualitati is best for
Teams whose bottleneck is collecting qualitative data: they want AI to moderate interviews (text + voice), run conversational surveys and focus groups, and push everything into thematic analysis with codebooks and reliability statistics — at published, self-serve prices.
Marvin is best for
Teams whose bottleneck is scattered existing knowledge: they want one company-wide insights hub with 30+ integrations, an AI notetaker on every meeting, and repository-wide Ask AI — with enterprise options like HIPAA and SSO on the top tier.
Qualitati vs Marvin: feature-by-feature
| Feature | Qualitati | Marvin |
|---|
| Core focus | Collection-first — AI interviews, surveys, focus groups + analysis | Repository-first — centralize and query all customer data |
| AI-moderated interviews | Yes — text + voice, adaptive follow-ups | Yes — AI Interviewer (credit-capped: 100/year on the free plan) |
| Conversational surveys | Built-in with adaptive AI follow-ups | Survey integrations rather than a native conversational survey |
| Focus groups | Synthetic + live AI-moderated modes | Not a primary offering |
| Repository & integrations | Transcript uploads, CSV/Excel | 30+ native integrations; repository-wide Ask AI |
| Free plan | 30 credits on signup, no credit card | Yes — 2 full seats, AI notetaker, 100 AI Interviewer credits/year |
| Published paid pricing | Per-credit rates + per-seat Team tier published | Starter / Pro / Enterprise are contact-sales; no public prices |
| AI notetaker for human-led calls | Active Listener — real-time AI assist during live interviews | Marvin AI Notetaker — records and summarizes meetings |
| Thematic analysis | ThemeLens — up to 100 transcripts, quotes verified before display | AI-assisted analysis; deep thematic + emotion analysis on Pro |
| Coding rigor (QDA) | Inductive + deductive coding, codebooks, Cohen's kappa | Tagging + AI-assisted analysis; no reliability statistics advertised |
| Languages | 10 fully translated languages; Xunfei ASR for Chinese | Translation in 40+ languages (Pro+); localized UIs not specified |
| Enterprise (HIPAA / SSO / residency) | GDPR compliant; EU/US cloud | HIPAA with BAA, Okta/SAML SSO, US or EU residency (Enterprise) |
| Methodology grounding | HEC Paris academic founder; documented pipelines | Commercial research-ops platform |
| Best fit | Teams whose bottleneck is collecting qualitative data | Teams whose bottleneck is scattered existing knowledge |
Choose Qualitati when…
- Your bottleneck is collecting data — you want interviews, surveys, and focus groups run by AI.
- You need published paid pricing to budget a study without a sales call.
- You need Chinese-language research with dedicated Xunfei ASR, or fully localized participant UIs.
- You want codebook generation and Cohen's kappa for methodologically defensible coding.
- You want focus groups and digital-twin panels on the same platform as interviews.
Choose Marvin when…
- You want one company-wide repository with 30+ integrations pulling in every customer touchpoint.
- An AI notetaker across all your meetings is the feature you'll use daily.
- You need HIPAA with a signed BAA, Okta/SAML SSO, or US/EU data residency guarantees.
- Stakeholder self-serve (viewer seats querying the repository) is your main rollout goal.
Frequently asked questions
Is Qualitati a good Marvin alternative for B2B user research?
Yes. Qualitati is an AI user research platform that runs AI-moderated interviews (text + voice), conversational surveys, focus groups, and AI thematic analysis end-to-end. Compared to Marvin, Qualitati publishes transparent pricing (no "request a quote"), supports 10 interview languages natively (including Chinese, Japanese, Arabic), and is founded by HEC Paris academic researchers — so the methodology is defensible to scientific reviewers.
How does Qualitati pricing compare to Marvin?
Marvin publishes a free plan (2 full seats, an AI notetaker, and 100 AI Interviewer credits per year) but no prices for its paid Starter, Pro, and Enterprise tiers — those are contact-sales. Qualitati publishes its usage rates (1 credit per minute for text interviews, 5 credits per minute for voice, 1 credit per 1,000 words of analysis) and a per-seat Team tier, so you can budget a full study before any call. There is a free tier with 30 credits on signup, no credit card required.
Which languages does Qualitati support compared to Marvin?
Qualitati ships 10 fully translated languages across both the participant interview experience and the researcher workspace: English, Chinese (Simplified), French, Norwegian, Dutch, German, Spanish, Portuguese, Japanese, and Arabic — with Xunfei ASR for Chinese and a Google/ElevenLabs ASR cascade elsewhere. Marvin advertises translation and AI-moderated interviewing across 40+ languages; it does not publish which of those languages have fully localized participant-facing UIs.
Can my product / UX research team trust the methodology behind Qualitati?
Yes. Qualitati was founded by an HEC Paris researcher and the AI moderator behaviour, the thematic-analysis pipeline (ThemeLens), and the supervisor/agent dual-model architecture are all documented in publicly accessible product notes and continually iterated against the academic qualitative-research literature. This is a real differentiator vs purely commercial AI moderators that ship "best-effort" prompts without methodological grounding.
What kind of companies use Qualitati instead of Marvin?
Qualitati is used by in-house UX research teams, product managers running discovery, customer insights teams at scaleups, and research agencies. The transparent pricing model fits teams that want to run user research as a continuous practice (weekly studies) rather than as expensive one-off enterprise projects. Multilingual depth makes Qualitati a particular fit for global research functions — APAC, LATAM, EU.
How quickly can my team get started?
Both platforms have self-serve free plans, which is rare in this category. On Marvin, the free plan includes the AI notetaker right away, with AI Interviewer usage capped at 100 credits per year until you talk to sales. On Qualitati, you sign up at qualitati.com/register (no credit card), get 30 free credits, and can run AI-moderated interviews, conversational surveys, and ThemeLens analysis the same day — then scale pay-as-you-go without a sales conversation.