User ResearchOpsGet started today
The release is approaching, but the research queue is full. Prepare a synthetic study grounded in your research and behavioral data, compare designs, and bring the findings into your next real-user study.
Start with a question. Sentient brings your research into the study.
Compare our new guest checkout with the current Nike experience. Use our customer research to build an audience and find what helps shoppers finish their purchase.
Sentia is trusted by UX researchers at
When the release cannot wait for the next research slot, get an early read on where users may struggle. Use it to improve the experience and focus the questions you bring to real-user studies.
Carry research context into the brief and audience instead of starting from a blank page.
Examine a prototype or live experience while your team still has time to act.
Connect recommendations to the observations and screens that support them.
Generic personas miss what makes your customers different. Ground the simulated audience in your own research and behavior data, so the study starts from what you know about real users.
Shopper interviews and checkout research.
An observation means little without the task and audience behind it. Inspect the relationships and sources behind a result before deciding how broadly it applies.
Delivery cost uncertainty appears in 23 of 100 synthetic walkthroughs.
Watch a research-grounded synthetic audience attempt the product tasks. Use the observed friction to sharpen the questions you take to real participants.
Interview findings, survey responses, and checkout events inform each persona.
A report should leave your team with a next step. Review the observed friction beside the affected screens, then decide what to change and what to validate with real customers.
68 of 100 synthetic shoppers preferred the new checkout. A clearer guest path helped more participants finish, but delivery timing remained a source of hesitation.
New checkout received 68% of choices across 100 simulated agents. Current checkout followed at 32%.
Shoppers can continue without deciding whether to create an account.
68 of 100 preferred the new checkoutParticipants still look for a delivery estimate before committing to the order.
23 of 100 asked about delivery timingProduct illustrations show example research, not Nike customer results.
Sentia MCP
Run studies and test local prototypes from your terminal with the Sentia MCP. Bring your research-grounded audiences into Claude Code, Cursor, or Codex and get usability feedback where you work.
01Capture the local checkout flow.
02Use the audience grounded in customer research.
03Run the study and return usability findings.
Model the capacity you could free for research. Adjust these example inputs to reflect your team and the workflow you want to evaluate.
Illustrative inputs, not measured customer results. Hours freed equal the difference in team hours per study multiplied by your annual study volume. Capacity value applies your hourly cost; it is not cash savings and excludes Sentia fees. Additional studies assume comparable scope and that all freed hours are reused for research.
ResearchOps coordinates the systems around research, including study intake, participants, consent, and knowledge reuse. Sentia’s User ResearchOps product focuses on AI study preparation, synthetic audiences, product walkthroughs, and evidence review. Researchers retain methodology and interpretation.
The participants shown here are AI agents. Synthetic research provides directional evidence to help you identify issues and shape follow-up questions. It complements interviews and usability studies with real people; it does not replace them.
Build studies around a live website, a Figma prototype, or uploaded research material. Set the research question, define the audience and tasks, then review observations and supporting evidence.
Provide research documents, interview findings, and product context to inform the study brief and synthetic audience. Review the proposed scenario, population, and methodology before starting the study.
No. Our goal is to support 80–90% of early-stage validation with synthetic studies grounded in your first-party data. We recommend running Sentia alongside real user studies to validate findings and understand the human context behind them.
Let’s talk
Show us the product question you need to answer. We’ll explore how a research-grounded study could help your team decide what to change next.
