
Userology AI
The AI user research agent for busy product teams
449 followers
The AI user research agent for busy product teams
449 followers
Userology is your AI user researcher on autopilot. Drop in a Figma prototype or live product, set your target persona, and our AI recruits users, moderates sessions, and turns messy transcripts into bite-sized insight reports with clips, quotes, and clear next steps.










Userology AI
Hey Product Hunt Community
This is Shrey, founder of Userology. I am thrilled to present Userology to the community today!
What is Userology?
Userology is an AI UX researcher that finds your target users, conducts live usability tests and discovery interviews on your product or Figma proto and turns the sessions into clean, decision-ready insight reports.
The Problem
Most product teams struggle to run consistent research. No time, no budget and not enough people. Studies get postponed, decisions rely on gut feel and real user feedback shows up only after something ships.
The Solution
Userology automates the entire research loop end-to-end: recruiting, moderating, screen understanding and synthesizing.
The AI talks to users in real time, watches their screen and returns structured insights so teams can run research every sprint, not just before big releases.
Who it's for & key use cases
Perfect for PMs, designers and UX researchers validating:
New feature ideas
Figma prototype tests
Onboarding and funnel flows
Pre-launch checks & UX audits
Features → Benefits
AI recruitment from 15M+ users → No manual outreach; get relevant participants instantly.
AI-moderated, 90-min sessions → Natural conversations, follow-ups and genuine “why”s.
Visual screen awareness → The AI reacts to user behavior, not just words.
40+ languages → One study, global reach.
Auto-generated insight reports → Themes, quotes, clips and next steps; zero manual synthesis.
What makes Userology different?
It’s the first AI researcher that actually watches the screen, talks like a human moderator and produces insights at the quality of a real UX team, but with the speed and scale of automation.
Transform your research timeline from weeks to days.
Get started here → https://www.userology.co
Please share your feedback in the comments. Thanks in advance for your support!
@shrey_khokhra1 Many congrats on the launch!
Excited to hunt Userology on Product Hunt today! :)
How I met the founder:
Shrey first reached out to me 10 months ago and the product has refined a lot since then. They are finally ready to launch!
What is the product:
Userology is an AI UX researcher that automates the entire research loop... recruiting, moderating, understanding and synthesizing... so teams can run research every sprint.
Why I like it and endorse it:
Most “AI research” tools stop at surveys or transcripts. Userology goes much deeper, it behaves like a real UX researcher.
The screen awareness, live follow-ups and structured insight outputs make it genuinely useful for PMs and designers.
It removes time, budget and resourcing constraints while preserving the why behind user behavior.
That’s rare, and that’s why I’m endorsing it.
If UX decisions matter to your product (they do), give Userology a spin. Excited to share this with the PH community today! 🙌
Userology AI
@rohanrecommends
Thank you so much, Rohan.
You’ve seen the product evolve up close, and your early belief (and patience 😄) played a real role in getting us here. Appreciate the thoughtful write-up and the trust in endorsing us today.
Grateful to have you as the hunter on this journey 🚀
@shrey_khokhra1 Congratulations on the launch... 🥳🍾
Userology AI
@kumargaurav Thank you!! Thanks for stopping by to support us
@shrey_khokhra1 This is a strong idea. Recruiting and moderation together removes two huge friction points immediately.
Where was this whenever I was a UX Designer!? Love this - so much potential. I've shared this on wearefounders.uk, and you're on the front page. :)
Userology AI
@chris_kernaghan2 Hey Chris, thank you for the Shoutout. And a very Happy new year! :D
Documentation.AI
Congrats Userology team on launching. The combination of recruitment, moderation and synthesis in one flow feels very thoughtfully designed. Was it out of your own need or you saw this as a pain point across the industry?
Userology AI
@roopreddy Thank you — this started very much from our own pain, and then we realized how widespread it was.
As product builders, we kept seeing the same pattern: research was clearly valuable, but it happened too late, too rarely, or not at all because of time, cost, and coordination overhead. PMs and designers wanted answers now, not weeks later.
Once we spoke to teams across companies, it was obvious this wasn’t a one-off problem — it was an industry-wide gap between wanting research and being able to run it continuously.
Userology is our attempt to close that gap by making research something teams can run every sprint, without heavy setup or manual effort.
DeepTagger
Love the launch ✨ How long does it usually take to get a full insight report after a session finishes?
Userology AI
@talshyn Glad you love it! ✨ The report is actually generated within minutes after the session wraps up.
As soon as the user hangs up, the AI processes the video, generates the transcript, and creates the insight report (with themes & quotes) immediately. No waiting for manual analysis. Let us know if you try it out!
DeepTagger
What an amazing product! 🚀
Congratulations on your launch.
Could you please clarify that actual research is indeed done by a user (a physical person) and not AI?
Userology AI
@avloss Hey thanks for the question. The voice AI conducts the research which an actual user, physical person, the conversation can be as long as 90 minutes in 40+ languages.
DeepTagger
@shrey_khokhra1 That makes sense. So question are coming from AI, but answers are always coming from a real person.
Userology AI
@avloss Yes that's correct. Please do try it out. Would you love to hear your thoughts!
Wow! 15m respondents? Where did you get such a huge pool of respondents? Do they have any industry specifics or do they cover almost every industry?
Userology AI
@michael_vavilov Great question — the 15M+ comes from a combined, opt-in panel network we work with across multiple providers and regions, rather than a single proprietary list.
The pool spans consumer + professional audiences across most major industries (SaaS, fintech, e-commerce, healthcare, media, education, etc.), and teams can filter by demographics, geography, role, and experience level depending on the study.
That said, for very niche or highly regulated roles, we’re transparent upfront about feasibility and alternatives. And running studies with your own users or custom recruits is very much part of what we’re building next.
Zivy
Congrats on the launch, @shrey_khokhra1 @shivam_sethi1 this is a super compelling take on making UX research truly continuous, not episodic. 🚀
The screen-aware, live-moderated angle especially stands out. Curious to know: how does Userology handle bias and follow-up depth during live sessions, especially when users give vague or surface-level answers? Do teams have control over how the AI probes deeper in real time?
Userology AI
@harkirat_singh3777
Thanks, Harkirat, this is a core problem we spent a lot of time on.
We handle this in three ways:
1) Objective-anchored moderation
Every session starts with explicit research objectives defined by the team. The AI treats these as guardrails, not scripts—so follow-ups are driven by relevance to the goal, not generic curiosity.
2) Bias control through evidence-first probing
The moderator is trained to probe behavior before opinion. If a participant gives a vague answer, it doesn’t accept it at face value—it asks why, what happened on screen, or what they expected, instead of leading them toward a hypothesis.
3) Real-time control, not a black box
Teams can tune probing depth at a study and section level (light validation vs deep exploration), and every insight is traceable back to raw clips and transcripts, so bias is visible, auditable, and correctable.
The goal isn’t to replace researcher judgment, but to make high-quality, continuous research possible even when teams don’t have time to moderate every session live.