Convo
AI-moderated qualitative research platform running voice, video, and chat interviews with branching logic and quote-cited synthesis.
Convo is the tool to pick when qualitative volume is the bottleneck and your team is too small to hire moderators. Branching interviews plus verbatim-quote-cited synthesis mean you can run a study across a hundred participants and still trust the themes; the September 2026 changelog tightened that trust further by refusing to present an analysis paraphrase as a participant quote. Participants choosing their own mode (video, voice-only, or chat) removes a real drop-off source. If you need statistical significance or built-in participant recruitment and panel management, look at quantitative survey platforms instead — Convo is qualitative depth, not sample math.
Verified 4d ago · liveness 65/100 · cite: rightaichoice.com/tools/convo
- User researchers running qualitative studies at scale without adding moderators
- Market researchers gathering voice-of-customer insight across 40+ languages
- UX teams doing concept testing with Figma prototypes and usability testing
- Teams running longitudinal diary studies with photo and video capture
- Teams needing quantitative survey results with statistical significance
- Researchers who want participant recruitment and panel management built in
- Teams that can't invest time in writing and reviewing a solid discussion guide
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Skip Convo if you need statistically significant quantitative results or built-in participant recruitment and panel management — its strength is qualitative depth from AI-moderated voice, video and chat interviews, not sample math or a participant panel.
Interview minutes are billed on a metered basis, so a study that over-runs its guide costs more than the design estimate suggested.
Convo fits funded research teams and mid-market UX/insights functions that already pay a moderator or agency; against a freelance moderator's day rate it is cheap at scale, and against full-service agency retainers it is materially cheaper. Free survey tools are cheaper but give you no adaptive follow-up. Budget for metered interview minutes and per-file upload charges before you compare it to a flat-rate survey seat.
In short
Convo — AI-moderated qualitative research platform running voice, video, and chat interviews with branching logic and quote-cited synthesis. Best for User researchers running qualitative studies at scale without adding moderators, Market researchers gathering voice-of-customer insight across 40+ languages, UX teams doing concept testing with Figma prototypes and usability testing. Plans from $250/mo.
What's new in Convo
Checked 4 days agoAcross the latest 5 updates: 3 feature updates and 2 changelog entries.
A redesigned analysis dashboard
Overview, Participants and Responses rebuilt with metric tiles, search, filters and per-participant status, sentiment and AI quality score. A response opens as a three-column view of recording, transcript and summary.
Quotes are the participant's own words
The Quotes tab no longer falls back to a third-person analysis summary; it shows only what the participant actually said, and older answers are re-checked so a paraphrase cannot surface as a quote.
Interviews run to the end
Phrases like "we're done with this section" no longer end an interview early, and a silent participant is re-asked the question instead of the guide moving past it.
Studies are launched, not just saved
A study stays in Set Up until you launch it, so a half-built study can't be opened by a participant. Settings, sharing and deletion moved into a single Manage page, and projects now have scoped membership.
Participants choose how they take part
Participants now pick video, voice or chat at the start of an interview. Audio-only voice interviews, conditional probe branching, image/video/Figma attachments in chat, and PDF, CSV and ZIP exports shipped in the same week.
What people actually say about Convo — is it worth it?
We scanned public community sources for Convo on Jul 28, 2026 and could not establish that the discussion we found is about this tool rather than something else sharing its name. Our own analysis of that scan says the posts were off-subject. Rather than publish a sentiment score built on the wrong subject, we publish nothing here and re-run the scan.
Viability Score
How well maintained and how widely used is Convo? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: October 2026
How we score →Key Features
- AI-moderated voice interview agents
- Video interviews with screen and camera recording
- Chat (text) interviews
- Audio-only voice interviews with no camera
- Participant chooses video, voice, or chat at interview start
- Branching interviews: multiple-choice answers reveal follow-ups, skip sections, or reroute
- Conditional probe branching
- Concept testing with embedded live Figma prototypes
- Diary studies with a guide per day and media tasks
- Mobile ethnography: in-the-moment photo and video capture
- Usability testing capturing stated vs shown tensions
- Automated theme analysis with LLM-powered thematic coding
- Research Assistant synthesis with verbatim quote citations
- Instant Analysis linking a quote to the video moment
- Sentiment and emotion detection
About Convo
Convo is an AI-moderated research platform for qualitative studies. AI agents run voice, video, or chat interviews at scale while your team keeps the interpretation work. Participants now choose their own mode — video, voice-only, or chat — at the start of an interview, so people who can't turn on a camera or can't speak out loud still take part instead of dropping off. Research workflows cover concept testing with embedded Figma prototypes, usability testing that records screen and camera, customer discovery against target ICPs, product experience sessions, mobile ethnography, and multi-day diary studies with a guide per day and photo/video tasks. Branching interviews are the core mechanism: a multiple-choice answer can reveal a follow-up question, skip a section, or route to another part of the guide, and conditional probes only fire when a specific condition is met. Interviews run in 40+ languages. Analysis arrives transcribed with sentiment and emotion signals, LLM-powered thematic coding groups responses into themes, and the Research Assistant synthesizes across domains while citing verbatim participant quotes — the Quotes tab deliberately shows only what the participant actually said rather than a third-person paraphrase. Instant Analysis links a quote to the video moment, and findings export as PNG, JPEG, PDF, CSV, OR ZIP or as auto-captioned highlight reels. You can also upload existing transcripts and stack sources. The platform is web-based and sits between survey tools and full-service agencies: more adaptive than a form, less hands-off than an agency retainer. You choose self-serve or white-glove, where Convo's own research team designs, moderates, and synthesizes.
Behind the Verdict
The honest case for Convo is arithmetic. A human moderator runs maybe a handful of interviews a day; Convo's agents run them in parallel across 40+ languages, and the September 2026 release made that scale more trustworthy rather than just bigger. Two changes matter most. First, interviews no longer end early because a participant said something like "we're done with this section," and a silent participant gets re-asked the question instead of the guide moving past it — those were exactly the failure modes that quietly corrupted data at volume. Second, the Quotes tab now shows only verbatim participant words; where it has no quote, it shows nothing, and older answers are re-checked so a paraphrase can't surface as a quote. For anyone who has had to defend a research finding to a skeptical stakeholder, that is the feature that matters. The workflow surface is now mature: multiple-choice branching reveals follow-ups, skips sections or routes to another part of the guide; conditional probes dig deeper only when a condition is met; an image, video, or live Figma prototype can be attached to a question and appears alongside the conversation in chat as well as voice and video. Diary studies run a guide per day with media tasks, and a participant home screen shows what's due and what's been missed. Analysis exports as formatted PDF (charts keep their colour), CSV and ZIP, plus auto-captioned reels for stakeholders. Where it genuinely strains: AI moderation rewards a well-written discussion guide. Teams that can't write one won't get much more than a survey would give them, and the platform won't rescue a vague brief. It is web-based with no native participant app, and the Social Media Listener is a young feature compared with dedicated social listening tools. This is also not a quantitative instrument — no statistical significance, no panel management. Pricing is metered per interview minute and per uploaded transcript or video, so large studies need budget modelling before launch, not after.
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Real-world workflow fit
Concrete scenarios for the personas Convo actually fits — and what changes day-one when you adopt it.
You write a branching discussion guide, attach a live Figma prototype to the concept-test questions, and launch. Participants pick video, voice-only or chat at the start; the dashboard fills with sentiment, AI quality scores and interview lengths.
Outcome: You synthesize themes with quote-cited evidence and export a PDF plus a captioned reel for the product review — roughly a week of moderator work compressed into a few days.
You run the same guide across 40+ languages, use conditional probes so only relevant follow-ups fire, then stack the transcripts with prior research you upload into one synthesis.
Outcome: One comparable theme set across markets instead of four separate agency reports, with verbatim quotes you can trace back to the video moment.
You set a guide per day with photo and video media tasks; the participant home screen shows what's due and what's been missed, and Set Up > General lets you edit the study mid-flight.
Outcome: In-the-moment ethnography captured in participants' own environments, analyzed as one longitudinal dataset rather than scattered diary notes.
Use Cases
- Run continuous voice-of-customer interviews to spot sentiment patterns and unmet needs.
- Concept test new designs or messaging with a live Figma prototype attached to the question.
- Record participant screens and cameras to find the tension between what is said and what is shown.
- Analyze uploaded interview transcripts with AI to accelerate synthesis.
- Create auto-captioned highlight reels to share key participant moments with stakeholders.
- Deploy anonymous interviews with participant IDs for privacy-sensitive research.
- Conduct multi-day diary studies with recurring sessions and in-field photo and video captures.
- Run an audio-only voice study for sensitive topics or participants on poor connections.
Limitations
- Convo is metered per interview minute and per uploaded transcript or video, so cost scales with study size and needs modelling before launch.
- It is web-based; there is no native mobile app for participants, though the mobile-optimized chat interface and audio-only voice mode help on phones and poor connections.
- The Social Media Listener is a young feature without the depth of dedicated social listening tools.
- AI moderation rewards a well-designed guide — branch logic and conditional probes only work if you write them.
- There is no quantitative engine behind the qualitative data: no statistical significance, no weighting.
- Since AI moderation changes participant experience, review your disclosure and consent approach before fielding.
as of 2026-10-03
Verification history
We have re-verified Convo 9 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-checked, vendor evidence unchanged
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
Showing the 6 most recent of 9 verification passes.
Free to cite with attribution — this page re-verifies continuously.
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
Plans compared
For each published Convo tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.
Pay as you go
$250/mo
Ideal for
Funded insights or UX team running a defined qualitative study who can absorb metered interview minutes and don't want an annual commitment.
What this tier adds
Starting tier: metered per interview minute plus per uploaded transcript or video, covering AI-moderated voice, video and chat interviews, branching logic, sentiment and emotion detection, theme analysis, highlight reels and 40+ languages.
Where the pricing makes sense
The company stage and team size where Convo's pricing actually pencils out — and where peers do it cheaper.
Convo fits funded research teams and mid-market UX/insights functions that already pay a moderator or agency; against a freelance moderator's day rate it is cheap at scale, and against full-service agency retainers it is materially cheaper. Free survey tools are cheaper but give you no adaptive follow-up. Budget for metered interview minutes and per-file upload charges before you compare it to a flat-rate survey seat.
Setup time & first value
How long it actually takes to get something useful out of Convo — broken out by persona, not the marketing-page minute.
Self-serve: a first study can be drafted and launched in an afternoon once the discussion guide is written — pick study type, name it, choose the project, then launch. White-glove: expect days, since Convo's research team designs, moderates and synthesizes with you. The real setup cost is guide quality, not platform configuration.
Switching to or from Convo
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From Typeform or Google Forms: move your question set into a discussion guide, then add branching and conditional probes to make it adaptive.
- →From spreadsheet-run interviews: upload existing transcripts and stack them with new AI-moderated sessions for one synthesis.
- →From an agency retainer: start self-serve on a pilot study, or use white-glove if you want Convo's researchers to run the first one.
- ↗To a quantitative survey platform: export your data as CSV or ZIP and re-field the study as closed-ended questions.
- ↗To a manual moderation setup: download recordings and transcripts, then run sessions with a human moderator instead.
- ↗To a dedicated social listening tool: keep Convo for interviews and move brand-mention tracking to a specialist monitor.
Integrations
Resources & Guides
Tutorials & Learning
YouTube returned 6 videos for “Convo”, and we withheld 6: 6 could not be judged, because “Convo” is a single word that other videos use for other things. We are showing none, because we could not prove any of them are about Convo.
Official links
Tools that pair well with Convo
Common stack mates teams adopt alongside Convo, with the specific reason each pairing earns its keep.
Marvin User Research
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Maze
User research platform that combines participant recruitment, AI-moderated interviews, and automated analysis in one workspace
Elicit
Semantic search over 138M papers and 545K clinical trials, with a cited research agent that writes evidence reviews you can defend.
Featured Head-to-Head Comparisons
Convo vs Praktika
Convo and Praktika serve entirely different needs. Choose Convo if you're a researcher seeking AI-powered qualitative interviews and analysis—it recently added stack ranking, highlight reels, and Figma integration, making it more versatile for UX and market studies. Choose Praktika if you're an intermediate language learner wanting on-demand speaking practice with AI tutors and pronunciation feedback. They don't compete directly.
Convo vs Surge Ai
If you need a conversational AI platform for qualitative research and UX testing, Convo is your choice with its natural interviews and instant analysis. For AI alignment and rigorous human feedback to train frontier models, Surge AI is essential, backed by expert workforces and recent benchmark breakthroughs. They serve entirely different domains; pick based on whether you're researching users or training LLMs.
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Marvin User Research
Marvin is an AI-native customer insights platform that runs AI-moderated interviews and delivers cited answers from your research repository.
Frequently Asked Questions
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