stratify
AI-powered user research on autopilot—get feedback in hours, not weeks.
Stratify is a compelling pick for teams that need quick, scalable user feedback without the manual overhead of traditional research. The AI interviewer and built-in panel shave days off the process, but the lack of public pricing and integrations could be a dealbreaker for buyers who need transparency or custom workflows. Worth a demo if speed is your priority.
Verified 1d ago · liveness 55/100 · cite: rightaichoice.com/tools/stratify
- Product teams validating features and user flows before launch
- UX researchers conducting scalable user interviews
- Marketers testing messaging, campaigns, and landing pages
- Startups needing fast feedback loops without heavy process
- Teams requiring on-premise deployment or private cloud hosting
- Researchers needing deep qualitative analysis and thick descriptions
- Buyers who prefer self-serve pricing or transparent public pricing
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Skip Stratify if you need full transparency on pricing, deep integration with your existing tools, or require on-premise deployment—contact-sales pricing and lack of documented integrations will slow you down.
There's no public pricing, so you'll need to book a demo to learn plans; costs may be higher than expected for small teams.
Stratify's pricing is contact-only, so it's not possible to compare directly. It likely fits teams that value speed over budget constraints, but if transparency matters, tools like UserTesting or dscout may have clearer pricing tiers.
In short
stratify — AI-powered user research on autopilot—get feedback in hours, not weeks. Best for Product teams validating features and user flows before launch, UX researchers conducting scalable user interviews, Marketers testing messaging, campaigns, and landing pages. Contact Sales pricing.
What people actually say about stratify — is it worth it?
We ran a structured research pass across product reviews, community discussions, and post-purchase forum threads to surface the patterns vendors won't publish themselves. Below: the recurring strengths, the hidden costs people mention most, and the cohort that consistently regrets adopting this tool.
30 mentions across 3 sources (Hacker News, GitHub, Lemmy) · researched Jul 3, 2026.
- +Automates repetitive research tasks like recruitment and interview scheduling.
- +AI-generated interview guides speed up study setup for fast iteration.
- +Built-in participant panel eliminates need for external sourcing.
- +Screen and video capture provide rich behavioral data from users.
- +End-to-end platform reduces manual handoffs between research steps.
- −Zero community feedback available to validate claims or reliability.
- −Confusion with StratifyOS embedded RTOS may harm brand recognition.
- −AI interviewers may fail to probe unexpected responses deeply.
- −Contact pricing makes cost assessment difficult before trial.
- −Automated analysis could miss emotional or contextual cues.
- • Custom participant panel fees beyond built-in pool?
- • Additional charges for advanced analytics or reporting?
Viability Score
How well maintained and how widely used is stratify? 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: August 2026
How we score →Key Features
- AI interviewer conducts autonomous research sessions
- Generates comprehensive interview guides in minutes
- Import existing questions or let AI craft a flow
- Upload content: websites, prototypes, images, videos, ad copy
- Captures user's screen and video in real-time
- Intelligent Analysis Engine synthesizes feedback into patterns
- Built-in participant panel for recruitment
- Methodology-adaptive question structuring
- Free sample landing page test – 5 minutes, no signup
- Real-time feedback collection
- Targeted solutions for product, UX, and marketing teams
- Automates recruitment to insights, end-to-end
- Backed by Y Combinator
- Video and screen recording of user responses
About stratify
Stratify is an AI-powered user research platform that automates the entire research process, from participant recruitment to actionable insights, so product teams, UX researchers, and marketers can make data-driven decisions in hours, not weeks. Instead of manually designing studies, sourcing participants, and analyzing qualitative data, teams can let Stratify's AI interviewer run autonomous sessions that capture users' screen and video as they interact with websites, prototypes, images, videos, or ad copy. The platform simplifies study design with an AI that generates comprehensive interview guides in minutes. You can import your existing questions or let the AI craft a flow tailored to your research objectives, adapting to your methodology and structuring questions for maximum insight extraction. Once sessions run, Stratify synthesizes feedback into clear patterns, turning raw responses into reports that inform product, UX, and marketing decisions. A standout feature is the free sample test—a 5-minute landing page test that requires no signup, so you can experience how the AI interviewer works before committing. Stratify is backed by Y Combinator, and teams like Human Behavior Co. (YC X25) use it to run customer research on autopilot. Compared to traditional usability testing tools like UserTesting or dscout, Stratify positions itself as a one-stop shop—recruitment, interview design, execution, and analysis in a single platform. However, pricing is gated behind a demo request, and documented integrations are sparse, which may be a consideration for teams needing deep toolchain interoperability.
Behind the Verdict
Stratify's core value is speed: it compresses a typically week-long participant recruitment and interview cycle into hours. The AI interviewer runs autonomous sessions, capturing screen and video along with verbal responses, which gives you behavioral data on top of what users say. The interview guide generator is genuinely useful—you can start from scratch or import your own questions, and the AI structures them for maximum insight. The built-in participant panel removes a major friction point: you don't need to source testers yourself. The free sample test is a great risk-free way to see the interviewer's quality before booking a demo. Where Stratify falls short is transparency and interoperability. Pricing is only available on request, which makes it hard to budget or compare. There are no documented integrations or API, so you can't easily pipe insights into your existing stack or automate workflows. If your research needs go beyond the structured format—for example, deep ethnographic analysis or thick descriptions—the AI interviewer's approach might feel limiting. Overall, Stratify fits best for product, UX, and marketing teams at startups or mid-size companies that want fast, directional feedback to iterate quickly. It's less suited for enterprise buyers who need security certifications, on-prem deployment, or a deep toolchain ecosystem.
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Real-world workflow fit
Concrete scenarios for the personas stratify actually fits — and what changes day-one when you adopt it.
You need to validate a new feature before the next sprint. You upload a prototype, let the AI interviewer run sessions with the built-in panel, and get a synthesized report within hours.
Outcome: You get actionable feedback on what to build or fix, in time for your sprint planning.
You want to gather usability insights from 30 participants without scheduling interviews. You design a study using the AI-generated guide and launch it to the panel.
Outcome: You receive screen recordings and video responses, plus pattern analysis, enabling you to prioritize UX fixes.
You're running ad creatives and need to know which copy resonates. You upload ad copy and let the AI interviewer test it with the target audience.
Outcome: You get a clear recommendation on which messaging to scale, based on user feedback and engagement metrics.
Use Cases
- Validate product features with real user feedback before launch.
- Test landing page copy and design with target users.
- Conduct scalable UX interviews to identify pain points.
- Evaluate ad creatives and video prototypes quickly.
- Gather rapid customer insights for product roadmap decisions.
Limitations
- Pricing is only available upon request, which may deter budget-conscious teams.
- No public integrations or API documentation are provided, limiting workflow automation.
- The platform's platform-specific details (e.g., mobile apps, offline mode) are not disclosed.
- Deep qualitative analysis may be limited by the AI interviewer's structure.
as of 2026-08-21
Verification history
We have re-verified stratify 6 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-checked, vendor evidence unchanged
- — 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
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
Free to cite with attribution — this page re-verifies continuously.
Where the pricing makes sense
The company stage and team size where stratify's pricing actually pencils out — and where peers do it cheaper.
Stratify's pricing is contact-only, so it's not possible to compare directly. It likely fits teams that value speed over budget constraints, but if transparency matters, tools like UserTesting or dscout may have clearer pricing tiers.
Setup time & first value
How long it actually takes to get something useful out of stratify — broken out by persona, not the marketing-page minute.
You can run a sample test in about 5 minutes without signing up. For a full study, expect under 30 minutes to set up your content, let the AI generate the interview guide, and launch your first session.
Switching to or from stratify
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From UserTesting: You can manually import your existing interview questions and start running sessions with Stratify's panel, but there's no automated migration tool.
- ↗To UserTesting or dscout: Export your synthesized reports manually, but be aware of the loss of AI-driven analysis.
Resources & Guides
Tutorials & Learning
Official links
Tools that pair well with stratify
Common stack mates teams adopt alongside stratify, with the specific reason each pairing earns its keep.
Featured Head-to-Head Comparisons
Stratify vs Praktika
Praktika and stratify serve completely different needs—language practice vs. user research. Choose Praktika if you're a language learner wanting AI conversation partners with feedback; choose stratify if you're a product team needing fast, scalable user interviews. No direct competition; decision hinges entirely on your domain.
Stratify vs Surge Ai
Stratify and Surge AI serve completely different needs. Stratify is for product teams wanting fast, automated user research with AI-conducted interviews. Surge AI is for AI builders needing expert human feedback to align and evaluate frontier models. Choose based on whether you need insights from users or expert feedback for models.
Gem vs Stratify
Gem and Stratify serve entirely different domains: recruiting vs. user research. If you need an all-in-one hiring platform with AI agents for sourcing, screening, and fraud detection, Gem is the clear choice. If your goal is to automate user interviews and gather product feedback in hours, Stratify is purpose-built for that. There is no head-to-head competition—pick based on your primary workflow.
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Frequently Asked Questions
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