8 Best Outset AI Alternatives for AI-Moderated Research

For an end-to-end platform with built-in recruiting, look at Listen Labs. For async AI video with multimodal analysis, Conveo. For recorded voice sessions with screen share, Strella. For self-serve with no contract, Koji. For laddering depth at per-interview prices, User Intuition. For AI interviews with a verified B2B panel, CleverX. For unmoderated usability metrics, Maze.

And if your usability and concept decisions depend on reactions participants don’t put into words, Decode runs AI-moderated interviews and usability tests with emotion and attention measured in the same session.

Not sure which fits? Talk to our research team and bring the study you’re planning next.

Outset AI alternatives compared at a glance

AI research platforms compared, pricing as of October 2026. Every cell comes from the vendor’s own pricing or feature pages.

Book a demo of Decode to see an AI-moderated usability test with emotion and attention measured in the session.

AI usability testing: what AI moderation adds and what it misses

What AI moderation adds. The AI asks follow-up questions while participants work through a prototype or live app. Teams hear why a step was confusing, without scheduling a human moderator for every session.

What screen recording adds. Where participants clicked, where they hesitated, and where they gave up. Together, the two show what participants did and why they say they did it.

What both can miss. Reactions participants don’t put into words, and what they looked at before they acted. In a classic review published in Psychological Review, Nisbett and Wilson (1977) argued that many of the mental processes behind preferences, choices and judgments aren’t available to conscious report. People can tell you what they think drove their reaction, which isn’t always what did. The paper is widely cited and still debated, but its core caution holds for any method that relies on what participants say.

That gives three layers of signal:

• Say: answers to the AI moderator’s questions.

• Do: clicks, paths and task success.

• Feel: facial coding, eye tracking, voice emotion and attention, measured during the session.

Most AI research platforms cover say and do well, and some now add facial emotion labels from video. The feel layer is where tools differ most.

Why teams look for Outset AI alternatives

Five reasons come up again and again in buyer guides and comparison pages.

1. No public pricing. Outset’s pricing page lists no figures, and third-party estimates conflict, which makes budgeting hard.

2. Panel access. Outset recruits through partners such as User Interviews and Prolific, or your own audience. Teams wanting one bundled, first-party panel look elsewhere.

3. Contract model. Plans are sales-led and custom-quoted, and Outset says access varies by plan and add-ons.

4. Format and buying preference. Some teams want video-first async sessions, or published self-serve plans they can start on today.

5. Signal depth. Outset’s AI labels facial emotions in video interviews and flags on-screen friction, but it doesn’t offer eye tracking, attention measurement or voice emotion.

How to choose an Outset AI alternative

Check each tool against six things:

1. Interview control: guide setup, probing depth per question, follow-up limits and languages.

2. Formats: text, voice and video, plus screen share on prototypes and live apps.

3. Recruiting: a first-party panel, partner panels, bringing your own, and B2B verification.

4. Analysis: synthesis quality, cited evidence, highlight reels and reports.

5. Signal layer: say, do and feel, as defined above.

6. Pricing and governance: published plans or custom quotes, SOC 2, GDPR and data residency.

Say, do, feel across AI research platforms

For a discovery interview, say is often enough. For a checkout, onboarding flow or launch concept, the feel column shows the reactions nobody mentions.

See measured reaction on your own prototype.

The 8 best Outset AI alternatives

1. Decode by Entropik: best for AI-moderated research with measured emotion and attention

Outset hears what participants say and watches what they do on screen. Decode adds how they reacted and what they looked at.

Best for: UX and insights teams whose usability and concept decisions depend on reactions participants don’t put into words.

Key features

• AI Moderator for interviews at scale.

• Usability tests on prototypes, websites and apps, plus concept and creative tests.

• Facial coding (90%+ accuracy, 62 expressions), eye tracking (96% accuracy), voice emotion and attention, captured in the same session through a standard webcam.

• Dedicated research agents for different use cases, so each type of study is handled by an agent built for it. Tess runs usability tests; Cole runs concept validation.

• Insights Hub as your research repository, 103M+ participants in 151 markets through Cint and Dynata or your own audience, and 70+ languages.

Pros

• Shows the hesitation, confusion and missed elements that participants never mention.

• Each study type is set up by an agent built for it, so studies are faster to start and more consistent.

• Built on 17 patents and used by 150+ global brands, with first evidence delivered in under 48 hours.

Good to know

• Probing controls may differ from Outset’s per-question settings, so if per-question depth matters to your method, walk through them with us first.

• Webcam capture for gaze and emotion starts only after a participant gives consent.

• Enterprise plans are tailored to your research volume, and you can start on the Free plan (100 responses a month).

Pricing: Free plan published; Enterprise is quote-based.

Choose Decode if your usability and concept decisions depend on reactions participants don’t put into words. For the full head-to-head,

See our Decode vs Outset

Bring your next prototype to Tess: book a demo, or start free.

2. Listen Labs: best end-to-end option with built-in recruiting

Listen Labs’ AI agents design studies, recruit participants, run interviews and write the report. Salesforce signed a definitive agreement to acquire Listen Labs on September 29, 2026, with closing expected in the fourth quarter of Salesforce’s fiscal year 2027.

Best for: teams that want recruiting, moderation and analysis bundled in one contract.

Key features: AI-designed studies, AI-moderated video, voice and text interviews, a panel of 50M+ participants, interviews in 120+ languages (per Salesforce’s announcement), auto-generated reports, and simulated “digital twin” responses.

Pros: recruiting is built in, and studies run from question to report quickly.

Cons: quote-only, contract-first pricing, and the pending acquisition may change roadmap and contract terms.

Pricing: quote only.

Outset vs Listen Labs: Outset gives researchers more control over how the AI probes. Listen Labs bundles the whole study, recruiting included. For more,

See our Decode vs Listen Labs

Choose Listen Labs if you want an end-to-end bundle and recruiting is your bottleneck.

3. Conveo: best for async AI video with multimodal analysis

Conveo runs async AI-moderated video interviews and analyzes more than the words.

Best for: consumer insights teams testing ads, designs and concepts on video.

Key features: voice and video interviews in 48 languages, an AI-drafted interview guide, screen share, second-by-second facial coding on video stimuli, and analysis of tone, emotional cues and on-camera objects.

Pros: multimodal analysis, and SOC 2, ISO 27001 and GDPR credentials.

Cons: async video, and brand pricing is no longer published.

Pricing: brands are quoted after a demo. Its agency hub publishes $5 per interview minute for the first 1,500 minutes of a study, then $2, with a $5,000 yearly credit commitment.

Outset vs Conveo: Outset lets researchers set how the AI probes. Conveo leads on video-first, multimodal analysis. For more,

See our Decode vs Conveo

Choose Conveo if you want async video interviews with multimodal analysis.

4. Strella: best for recorded voice sessions with screen share

Strella is the closest match to Outset when recorded sessions matter.

Best for: research teams that want AI-moderated sessions to look and feel like moderated ones.

Key features: real-time AI-moderated voice interviews, webcam and screen recording, embedded stimuli, AI-generated discussion guides, a human-moderated option, highlight reels and a research repository.

Pros: recorded webcam and screen sessions, with AI, hybrid and (in beta) fully human moderation in one platform.

Cons: pricing isn’t published, and recruiting runs through partner panels (Respondent and User Interviews, up to 8M participants), so confirm reach for your audience.

Pricing: custom annual plans, which Strella describes as usage-based, with no per-seat charges.

Choose Strella if recorded voice and screen sessions are the core of your research.

5. Koji: best self-serve option with no contract

Koji runs AI-moderated interviews you can start without a sales call.

Best for: small teams that want AI interviews on a credit card.

Key features: AI-moderated voice and text interviews, outbound phone interviews on Enterprise, structured question types, panel recruitment on paid plans or your own link, and automatic synthesis.

Pros: published, credit-based pricing, with free credits to start.

Cons: no participant video or screen-share sessions on self-serve plans (video is an Enterprise module), and 30+ interview languages against Outset’s 40+.

Pricing: 10 free signup credits. A text interview uses 1 credit and a voice interview uses 3. Paid plans are credit-based.

Choose Koji if you want AI interviews without a contract and don’t need video.

6. User Intuition: best for laddering depth at per-interview prices

User Intuition runs long AI-moderated depth interviews built around laddering.

Best for: brand and insights teams studying motivations behind purchase and churn.

Key features: 30-minute AI interviews by chat, voice or video, a 5–7 level laddering method, a 4M+ panel, and a customer intelligence hub.

Pros: published pricing and real interview depth.

Cons: depth-first, so it isn’t built around usability metrics, though voice and video interviews support screen share.

Pricing: Starter at $0 a month, with $30 per quality voice interview and 3 free interviews to start. Professional at $2,499 a month includes 100 voice interviews, with extra voice interviews at $25 each.

Choose User Intuition if depth of motivation matters more than usability.

7. CleverX: best for AI interviews with a verified B2B panel

CleverX pairs AI interviews with its own verified participant panel.

Best for: B2B product teams that need verified professionals.

Key features: AI-moderated and human-moderated interviews, surveys, website and prototype tests, focus groups on Enterprise, and a 10M+ verified panel of professionals and consumers, with B2B custom recruitment included.

Pros: strong B2B targeting by title, seniority and company size, with recruiting and interviews in one place.

Cons: a newer AI interview product, so check enterprise governance and analysis depth in a pilot.

Pricing: Pro at $149 per user a month, plus credits at $1 each, spent only on completed responses (an AI-moderated interview uses 15 credits with your own audience, 35 with consumers and 125 with B2B professionals). Enterprise is a custom annual plan.

Choose CleverX if verified B2B participants are your hardest problem.

8. Maze: best for unmoderated usability metrics

Maze provides task metrics, interaction data and AI-assisted feedback, including AI-moderated interviews, follow-up questions and automated analysis.

Best for: product designers validating prototypes with task data.

Key features: Figma prototype testing, task success and misclick metrics, automated reports, AI follow-up questions, and a large participant panel.

Pros: fast setup from Figma, and clear quantitative usability metrics.

Cons: no published dollar prices. Interview studies, AI moderation, mobile testing, and card sorting and tree testing sit on Enterprise.

Pricing: Free plan; Enterprise is quoted.

Choose Maze if you mostly need unmoderated task metrics. For more,

See our Decode vs Maze.

Outset AI pricing in 2026: what you can confirm and what you can’t

Outset AI doesn’t publish prices: every plan is a custom-quoted subscription, scoped to team size, research needs and support. Buyer reports put the entry point at about $20,000 a year, which some describe as per seat, with recruiting and add-ons on top (reported by Koji, not published by Outset). Pricing as of October 2026.

What Outset publishes

What others report

Third-party figures vary and Outset doesn’t confirm them, so treat them as a range of reports, not a price. The most cited report is an entry point of about $20,000 a year, which some guides describe as per seat, from before Outset’s December 2025 Series B. Recruiting and add-ons come on top; one guide lists observer seats, single sign-on and team workspaces among the add-ons.

What drives the cost

Seats, interview volume, support level, recruiting through partner panels, and add-ons.

Where Decode fits on value

Decode also uses custom pricing for Enterprise, so this isn’t a cheaper-price claim. It’s a scope comparison. An Outset plan buys configurable AI interviews and screen-share sessions. A Decode plan covers AI Moderator, usability tests, research agents for different use cases, measured emotion and attention, and Insights Hub.

If you’re scoping an Outset subscription, get a Decode quote for the same scope.

Which Outset AI alternative is right for you?

Decision guide: eight reasons for reconsidering Outset AI, one shortlist each

Find your reason for reconsidering Outset on the left, and start your shortlist with the tool on the right. If two apply, let the decision with the most riding on it choose.

Frequently asked questions

1. How much does Outset AI cost?

Outset AI doesn’t publish prices; every plan is a custom-quoted subscription. Buyer reports put the entry point at about $20,000 a year, which some describe as per seat, with recruiting and add-ons on top (reported, not confirmed by Outset).

2. Does Outset AI have its own participant panel?

Outset recruits through partners such as User Interviews and Prolific, or from your own customers and panel. It can also source custom panels for you, and it says it can reach over 1.1 billion participants across 85+ countries through those partners.

3. Outset vs Listen Labs: which is better?

Outset is better if you want control over how the AI probes and you already have a recruiting route. Listen Labs is better if you want an end-to-end bundle with built-in recruiting from a 50M+ participant network. Salesforce signed an agreement to acquire Listen Labs in September 2026.

4. Who are Outset AI’s main competitors?

For an end-to-end bundle, Listen Labs. For async video, Conveo. For recorded voice sessions, Strella. For self-serve, Koji. For laddering depth, User Intuition. For verified B2B panels, CleverX. For unmoderated usability metrics, Maze. For usability tests with measured emotion and attention, Decode.

5. Can AI moderate usability tests?

Yes. AI moderators can ask follow-up questions while participants share their screen on a prototype or live app, and some now label facial emotions too. What most AI moderation doesn’t give you is eye tracking: where participants looked before they acted. Facial coding varies by tool, so check whether it’s measured against the stimulus and how it’s validated.

6. Is Decode a good Outset AI alternative?

Yes, when your usability and concept decisions depend on reactions participants don’t put into words. Decode runs AI-moderated interviews and usability tests, and measures emotion and attention in the same session.

7. Can Decode run AI-moderated usability tests on Figma prototypes?

Decode runs usability tests on prototypes, websites and apps, with emotion and attention measured in the session. Talk to our team about your prototype setup and we’ll walk you through how it runs.

Outset AI review: what it does best and where Decode fits

Outset helped define AI-moderated research, and it’s strong at it. Researchers configure the guide and train the AI moderator. Interviews run by text, voice, video or voice-to-voice (in beta) in 40+ languages. Participants can share their screen on Figma files, prototypes, live websites and mobile apps, while an agent flags friction such as dead clicks, and Visual Intelligence lets the moderator see click paths and label facial emotions in video interviews. Synthesis, themes and highlight reels arrive instantly, recruiting runs through partner panels or your own audience, and security covers SOC 2 Type II and GDPR.

Its most recent launch, from its own announcement: Digital Twins (August 2026), digital representations of individual customers, each built from one real AI-moderated interview.

Stay on Outset if methodological control over AI probing matters most and you already have a recruiting route.

Where Outset stops is a method difference, not a product flaw. It captures what participants say and do on screen, and its AI labels facial emotions in video interviews. It doesn’t offer eye tracking, attention measurement or voice emotion: where participants looked before they acted, and how they sounded. That’s where Decode fits: for usability and concept studies where unspoken reactions decide the outcome, add measured emotion and attention to the session.

Plenty of teams run both. Outset handles high-control interview programs, and Decode handles the studies where measured reaction matters. For the full head-to-head, see our Decode vs Outset comparison.

Find the Outset AI alternative that fits your research

Want an end-to-end bundle? Listen Labs. Async video with multimodal analysis? Conveo. Recorded voice sessions? Strella. No contract? Koji. Laddering depth? User Intuition. Verified B2B? CleverX. Usability metrics? Maze. Need to see the reactions nobody mentions? That’s Decode.