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.
This solves a real pain point π User research usually dies because of time, recruiting, and synthesisβnot lack of tools. If the insights are truly actionable (not just summaries), this could change how teams validate fast.
@shemith_mohananΒ Spot on. π― A summary that says 'Users found it confusing' isn't helpful.
We pushed for Traceability; meaning every AI claim is backed by a timestamped source. We want to give teams the confidence to make product changes immediately, not just 'good to know' information
Report
Congrats on the launch! Automating research every sprint sounds powerful. How do PMs usually use the insight reports in practice?
@vik_shΒ Great question! They mostly use the Executive Report to prioritize the backlog.
Since the report highlights 'Friction Points' with severity scores (and video proof), PMs can instantly see what needs to be fixed in the next sprint without spending 3 days analyzing raw footage
Report
User research often gets messy fast, and this feels like a genuinely practical way to bring structure without slowing teams down. Clean UX and a very clear use case. Nice launch π
Report
Curious β how are you handling incoming support/billing issues right now? Early teams usually end up manually triaging these.
This is Shrey, founder of Userology. I am thrilledΒ to present Userology to the community today!Β
What is Userology?Β
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 ProblemΒ
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 SolutionΒ
Β Β
Userology automates the entire research loop end-to-end: recruiting, moderating, screen understanding and synthesizing.Β
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 casesΒ
Perfect for PMs, designers and UX researchers validating:
New feature ideas
Figma prototype tests
Onboarding and funnel flows
Pre-launch checks & UX audits
Features β Benefits
AI recruitment from 15M+ users β No manual outreach; get relevant participants instantly.
AI-moderated, 90-min sessions β Natural conversations, follow-ups and genuine βwhyβs.
Visual screen awareness β The AI reacts to user behavior, not just words.
40+ languages β One study, global reach.
Auto-generated insight reports β Themes, quotes, clips and next steps; zero manual synthesis.
What makes Userology different?Β
Itβs 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.Β
Transform your research timeline from weeks to days.Β
This solves a real pain point π
User research usually dies because of time, recruiting, and synthesisβnot lack of tools.
If the insights are truly actionable (not just summaries), this could change how teams validate fast.
Userology AI
@shemith_mohananΒ Spot on. π― A summary that says 'Users found it confusing' isn't helpful.
We pushed for Traceability; meaning every AI claim is backed by a timestamped source. We want to give teams the confidence to make product changes immediately, not just 'good to know' information
Congrats on the launch! Automating research every sprint sounds powerful. How do PMs usually use the insight reports in practice?
Userology AI
@vik_shΒ Great question! They mostly use the Executive Report to prioritize the backlog.
Since the report highlights 'Friction Points' with severity scores (and video proof), PMs can instantly see what needs to be fixed in the next sprint without spending 3 days analyzing raw footage
User research often gets messy fast, and this feels like a genuinely practical way to bring structure without slowing teams down.
Clean UX and a very clear use case. Nice launch π