Conveo vs. Listen Labs vs. Strella for AI-moderated research

Compare Conveo, Listen Labs, and Strella on AI interview modes, recruiting, usability testing, analysis, integrations, and buying model.

Conveo, Listen Labs, and Strella all use AI to conduct research conversations with real people, but they are not interchangeable. Conveo is video-first and asynchronous. Listen Labs emphasizes panel scale, quality controls, and finished research deliverables. Strella combines AI and human moderation with recruiting and synthesis in one managed workflow.

This comparison uses public vendor documentation available on September 3, 2026. Features and commercial terms can change, so verify anything essential to a buying decision directly with each vendor. For a broader category view, see AI-moderated interview platforms compared.

The short answer

• Choose Conveo when asynchronous video interviews, flexible invite channels, and a qualitative research library are central to the program.
• Choose Listen Labs when you need a large participant network, multimodal quality checks, and presentation-ready outputs for a high-volume research program.
• Choose Strella when you want AI- and human-moderated interviews in the same operating model, with participant sourcing and research support close to the workflow.

That is a shortlist, not a verdict. Moderator behavior, audience incidence, analysis quality, and service level are difficult to compare from a feature list. A matched pilot is the useful test.

Comparison at a glance

Public audience counts describe each vendor's current network or partner reach, not the number of qualified participants available for a particular target. A narrow B2B role can still have low incidence in a large panel.

Conveo

Conveo describes itself as an AI-led video interview platform. Its moderator conducts asynchronous voice or video interviews, asks follow-ups against the research objectives, and runs interviews across languages without scheduling a live moderator. The asynchronous experience can suit studies where participants need to respond on their own time and video is part of the evidence.

Its study assistant helps structure objectives, sequencing, quotas, and questions. Researchers can mix single- and multi-select questions with qualitative probing, attach stimuli such as images, videos, Figma designs, Canva embeds, and website links, and add screeners or routing. Recruiting options include CSV uploads, public links, QR codes, WhatsApp invites, and panel integrations.

On the analysis side, Conveo documents executive summaries, thematic analysis, quantitative charts, time-stamped transcripts, quote reels, and exports. A conversation view searches across prior studies, and its API and MCP documentation support programmatic workflows.

Conveo is the clearest fit of the three when asynchronous video is the primary participant experience. For interactive usability work, distinguish showing a Figma or website stimulus from observing a participant complete a task across the screen; confirm the exact capture and interaction data required in a pilot.

Listen Labs

Listen Labs covers study design, recruiting, moderation, analysis, and a cross-study research library. It supports interviews over text, audio, and video, plus structured question types and concept or prototype stimuli. Its documentation also covers desktop and mobile screen sharing for usability sessions.

The built-in participant network is a major part of the offer. Listen Labs currently describes access to more than 30 million participants, alongside self-recruited links and email campaigns. Its Quality Guard evaluates signals such as voice patterns, response depth, tab switching, contradictions, repeat respondents, and transcript content. Low-quality panel responses can be removed and replaced under the documented workflow.

Listen Labs' Research Agent generates decks, memos, reports, charts, and highlight reels, while Mission Control lets teams ask questions across a research library. Emotional Intelligence combines voice tone, facial expressions, and word choice. Those features make it a candidate for enterprise consumer-insights teams that need both fieldwork and polished stakeholder outputs.

Do not choose on total panel size alone. Ask Listen Labs to estimate incidence, completion time, replacement policy, and incentive cost for the exact audience definition, then compare the quality of returned participants with the same screener elsewhere.

Strella

Strella supports AI-moderated and human-moderated interviews in the same research platform. Its public workflow covers discussion-guide generation, participant recruitment, conversational interviews, synthesis, and stakeholder-ready insights. It markets exploratory research, concept testing, customer journeys, usability testing, and mobile testing.

Teams can bring their own customers or recruit from Strella's current 8-million-person global panel. The platform advertises research in more than 46 languages. Its analysis groups findings across segments, links insights to the underlying research, supports chat over completed work, and can create video highlight reels.

The ability to move between AI and human moderation is Strella's most distinctive public positioning in this comparison. It may suit teams that want automation for scale without making every study fully autonomous, or that value hands-on research support. Confirm which service work is included in a quote and which parts remain self-serve.

The differences that matter in a pilot

Moderation style

Conveo explicitly centers asynchronous video. Listen Labs and Strella both support conversational multimodal research, while Strella also offers human moderation. Ask each platform to run the same five-question guide. Compare whether the moderator follows an interesting answer, repeats what the participant already said, or drifts away from the objective.

Recruiting and response quality

Listen Labs publishes the largest network count of the three. Strella publishes a smaller global panel, and Conveo offers several bring-your-own and panel routes. The practical question is whether the vendor can reach your audience at the required incidence and return participants who can describe relevant, recent behavior.

Use the same screener, quotas, and quality thresholds in every quote. Keep participant incentives separate from software or research-service fees so total costs remain comparable.

Usability testing

Listen Labs publicly documents desktop and mobile screen sharing. Conveo documents a wide set of stimuli, including Figma and website links. Strella markets usability and mobile testing, but its public marketing page gives less implementation detail. If usability is the buying reason, pilot the actual artifact: a live site, authenticated product, mobile flow, or prototype. Confirm what the participant can operate, what gets recorded, and whether follow-up questions use observed behavior.

Analysis and deliverables

All three generate themes and clips. Listen Labs goes furthest in publicly describing automated decks, memos, and a cross-study knowledge base. Conveo emphasizes quote reels, click-through charts, and conversation across historical studies. Strella emphasizes rapid synthesis, segments, cited insights, and highlight reels.

Evaluate the evidence chain rather than the polish alone. Open several generated claims and check whether the cited clips support the wording, whether contradictory responses remain visible, and whether a researcher can edit the output before sharing it.

Another option: Versive

Versive is another option when a study needs conversational AI questions and specialized structured methods in the same participant flow. Its studies support text, voice, and video interviews plus 20+ question types, including card sorts, tree tests, conjoint, ranking, allocation, Figma prototype tasks, and website tasks. Separate AI Tests let synthetic personas preflight Figma prototypes, public websites, and images before research with real participants.

Versive offers self-serve signup and a free trial, with share links, email outreach, in-product embeds, Prolific and Respondent recruiting, an Enterprise REST API, webhooks, and MCP. Consider it when mixed-method study design, synthetic preflight testing, or developer integration matters more than the specialist positioning of the other platforms. You can start a free Versive trial today and run the same pilot used to evaluate the rest of the shortlist.

How to choose

1. Write one real study brief, including the target audience, languages, interview mode, sample, and deliverables.
2. Ask every shortlisted vendor to build or review the same five-question guide.
3. Recruit a small matched sample through each route you expect to use.
4. Score follow-up relevance, participant quality, transcript accuracy, evidence traceability, and researcher editing time.
5. Request a quote at the intended annual volume, separating software, research services, recruiting, and incentives.

A short matched pilot will expose differences that a long feature matrix cannot: what the interview feels like, how much work the team must do, and whether the final claims hold up against the source conversations.

Sources and methodology

Conveo claims were checked against its current product overview, study-design documentation, and stimuli documentation. Listen Labs claims were checked against its current platform documentation, screen-sharing documentation, and Quality Guard overview. Strella claims were checked against its current product overview and participant interview guide.

Information is based on publicly available vendor documentation as of September 3, 2026. Features, availability, panel reach, and pricing may change.