Qualitati vs CoLoop: End-to-End AI Research vs the Analysis Copilot
CoLoop is an AI analysis copilot built for insight agencies — you bring the interviews, it speeds up the analysis with cited answers; Qualitati covers the whole pipeline, collecting data with AI-moderated interviews and surveys and analyzing it, with published pricing and a free tier.
At a glance
Qualitati is an AI user research platform that both collects qualitative data (AI-moderated interviews, conversational surveys, focus groups) and analyzes it (ThemeLens thematic analysis, QDA Workspace, voice analytics), with published usage pricing and a free tier. CoLoop is an AI copilot for qualitative analysis, popular with insight agencies: you upload interviews, groups, and open-ends, and it transcribes, builds analysis grids, and answers questions with citations back to the source. CoLoop does not moderate interviews, and as of July 2026 it does not publish pricing on its site — third-party listings report per-project bundles starting around
00 per project when bought in bulk.Qualitati is best for
Research teams and agencies that want one platform to collect and analyze — AI-moderated interviews (text + voice), conversational surveys, and focus groups feeding ThemeLens thematic analysis and QDA coding — at published, self-serve prices.
CoLoop is best for
Insight agencies and in-house teams with a steady flow of human-moderated interviews and focus-group recordings who want a project-based AI copilot — transcription, analysis grids, and cited answers — that slots into an existing agency workflow, with SOC 2 and PII masking for client work.
Qualitati vs CoLoop: feature-by-feature
| Feature | Qualitati | CoLoop |
|---|
| Core focus | Collect + analyze end-to-end | AI analysis copilot for data you collected |
| AI-moderated interviews | Yes — text + voice, adaptive follow-ups | No — analyzes human-moderated sessions |
| Conversational surveys | Built-in with adaptive AI follow-ups | No — imports open-ends for analysis |
| Agency project workflow | Projects + team workspace | Purpose-built for agency projects; "400+ research teams" claimed |
| Evidence-linked AI answers | ThemeLens verifies quotes against transcripts before display | AI answers cite back to source material |
| Automated PII masking | Not automated — redact before upload | Built-in PII masking |
| Compliance | GDPR compliant; cloud (DigitalOcean EU/US) | SOC 2 + GDPR stated |
| Pricing transparency | Published per-credit + per-seat Team tier | Not published on site; third-party listings cite ~00/project in bulk |
| Free tier | 30 credits on signup, no credit card | No public free tier; demo- and trial-led |
| Thematic analysis scale | Up to 100 transcripts at once | Project-based; scale not publicly specified |
| Languages | 10 participant-facing languages; Xunfei ASR for Chinese | Multilingual transcription + translation for analysis |
| Coding rigor (QDA) | Inductive + deductive coding, codebooks, Cohen's kappa | Analysis grids + AI chat; no reliability statistics advertised |
| Voice analytics | Yes — per-speaker emotion and delivery metrics | Not offered |
| Focus groups | Synthetic + live AI-moderated | Analyzes focus-group recordings; does not run them |
Choose Qualitati when…
- You need the platform to collect the data — AI-moderated interviews, surveys, focus groups.
- You want published pricing and a free tier instead of a demo-led quote.
- You run multilingual studies and need participant-facing UIs in 10 languages.
- You want codebooks and Cohen's kappa on top of AI theme discovery.
- You want voice analytics and synthetic focus groups on the same platform.
Choose CoLoop when…
- You're an agency with a steady flow of human-moderated projects and a workflow you like.
- Automated PII masking of respondent data is a hard requirement.
- SOC 2 on the vendor's page is required by your clients' procurement.
- You mainly need fast, cited analysis of data you already collect elsewhere.
Frequently asked questions
Is Qualitati a good CoLoop 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 CoLoop, 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 CoLoop?
CoLoop does not publish pricing — buyers must contact sales for a custom quote. Qualitati publishes per-credit rates for usage (1 credit per minute for text interviews, 5 credits per minute for voice interviews, 1 credit per 1,000 words for analysis) and a per-seat Team tier above the free tier. You can estimate your spend before talking to anyone, and there is a free tier with 30 credits on signup.
Which languages does Qualitati support compared to CoLoop?
Qualitati ships 10 fully translated interview languages out of the box: English, Chinese (Simplified), French, Norwegian, Dutch, German, Spanish, Portuguese, Japanese, and Arabic — with Xunfei ASR for Chinese and a Google/ElevenLabs ASR cascade for other languages. CoLoop handles multilingual transcription and translation on the analysis side, but it does not conduct interviews, so participant-facing language support does not apply — you would still need a separate tool to collect multilingual data.
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 CoLoop?
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?
Minutes. Sign up at qualitati.com/register (no credit card), get 30 free credits, paste your interview outline into the AI Interviewer, share the link with participants. First analysis runs as soon as a transcript exists. Compared to CoLoop's "Book a demo → SOW → onboarding" cycle, Qualitati is self-serve from day one and you can upgrade to a Team tier when you need more seats or security features.