


You're Probably Missing the Usability Problems That Matter Most
Surface-level metrics tell you something is wrong. They rarely tell you why. High drop-off rates, poor feature adoption, and rising support tickets all point to usability problems, but traditional approaches to finding them are slow, expensive, and often shallow. Scheduled lab sessions take weeks to coordinate and limit you to a handful of participants who know they're being watched. That awareness changes how people behave. Meanwhile, your real users (the ones who quietly give up) never get asked what went wrong.
Manual analysis compounds the problem. Watching hours of session recordings to find usability pain points is time-consuming enough that teams skip it or skim it, which means critical issues get missed before development commits to the next sprint.
TheySaid makes usability testing insights continuous and automatic.
Instead of coordinating research sessions around sprint cycles, you deploy AI-moderated user tests that run on your schedule, reach real users in their natural environment, and surface friction patterns without anyone watching hours of video.
How TheySaid Surfaces Usability Issues Before They Become Product Problems
Watch Real Users Navigate Your Product
Share a URL, whether it's a live product, staging environment, or Figma prototype, and real users navigate it while AI records their screen and voice. You see actual user behavior insights without artificial lab conditions influencing how people act.


AI Asks Follow-Up Questions in Real Time
When a user hesitates, backtracks, or skips something important, AI recognizes it and asks why. These in-session follow-ups turn observed behavior into explained behavior, revealing the reasoning behind every usability friction point that screen recording alone can't capture.
Identify Patterns Across Every Session
AI analyzes sessions as they complete, grouping recurring issues by theme and frequency. Instead of watching individual recordings, you see which usability testing results show up consistently across users, so you know what's worth fixing before anything else.


Get From Test to Insight in Days, Not Weeks
Launch a usability test in minutes and start seeing results the same day. No scheduling, no lab booking, no week-long analysis cycles. Usability improvement testing becomes something teams can run continuously rather than squeezing into quarterly research sprints.
See Exactly Where Your Users Get Stuck
Stop piecing together usability problems from support tickets and drop-off data. Watch real sessions, hear real reactions, and get AI analysis that tells you what to fix first.
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Built for Continuous Usability Improvement
Screen and Voice Recording
Capture complete user sessions with both screen activity and voice commentary. See every click, scroll, and hesitation while hearing users explain their thinking in real time.
AI-Moderated Follow-Up Questions
AI guides users through your test plan and asks contextual follow-ups when it detects confusion or unexpected behavior. This produces the kind of usability research insights that passive recording misses.
Video Playback With Question Timestamps
Jump directly to specific moments in any session. Review the interactions that matter without watching full recordings from start to finish.
Pattern Detection Across Sessions
AI surfaces recurring themes and friction points across all sessions automatically. Understand which usability problem detection findings are isolated incidents and which ones affect most of your users.
Flexible User Recruitment
Reach your actual target audience through email, website embeds, QR codes, or TheySaid's panels. Test with people who match your real user demographics rather than relying on internal testers or professional panels.
Traditional Usability Research vs. AI-Powered Testing
Without TheySaid

Weeks Between Discovery and Insight
Coordinating moderated sessions, recruiting participants, and manually reviewing recordings means usability problems get discovered after the window to fix them cheaply has already closed.

Behavioral Data Without Context
Analytics show where users drop off but not why. You know something is broken; you don't know what users were trying to do or what confused them.

Small Sample Sizes
Budget and scheduling constraints limit most usability studies to 5–8 participants, making it hard to know whether findings reflect patterns or individual quirks.

Isolated Research Cycles
Usability testing happens in dedicated research sprints disconnected from day-to-day product decisions, which means teams ship based on assumptions between studies.
Manual Analysis Bottleneck
Extracting usability testing feedback from session recordings is time-intensive enough that insights often don't reach designers and developers until it's too late to act.

With TheySaid

Same-Day Usability Insights
Launch tests in minutes and receive AI-analyzed results as sessions complete. Usability problems surface while they're still inexpensive to address.

Observed Behavior Plus Explained Reasoning
Screen recording shows what users do. AI follow-up questions reveal why. You get complete user friction analysis that connects behavioral data to user intent.

Scalable Testing at Any Stage
Test with multiple users quickly across different segments. Plans support 5 to unlimited tests per month, so sample size is no longer a constraint.

Continuous Testing Integrated Into Product Work
Run usability testing optimization alongside regular development cycles rather than reserving it for quarterly research. Catch problems as they're introduced, not after they ship.

Automated Pattern Recognition
AI identifies which usability issues appear across the most sessions, so teams know exactly where to focus without manually coding hours of video.
Stop Shipping Products Users Have to Figure Out
See what customers say about our AI user testing platform
From Concept to Launch: User Testing Use Cases
Learn how product teams use TheySaid's usability testing use cases and UX research use cases to validate prototypes, optimize features, test pricing strategies, and gather user feedback before shipping to customers.





