


The User Testing Reality: Almost Impossible with Real Users
Your users abandon features after investing time in onboarding, and new workflows go unused despite months of development effort. Traditional user testing tools recruit users from panels of professional test takers, making it nearly impossible to run large-scale tests with specific demographic requirements or get insights from people who actually use your product daily.
TheySaid changes this approach.
While you can still recruit from panels if needed, you get dramatically better feedback from your actual users. The AI moderator walks users through testing at the moment they experience friction, asking probing questions and gathering insights about real usage patterns that were never possible with traditional research methods.
How TheySaid Enables User
Recovery Insights
Expand User Research Beyond Your Team's Bandwidth
Deploy AI moderators that conduct hundreds or thousands of user interviews and tests, armedwith your specific questions and able to dive deep into user experiences like human researcherswould.


Gather Feedback Right When Users Hit Problems
Trigger feedback sessions right when users encounter workflow challenges, gathering honestreactions before they abandon features or develop workarounds.
Turn Usage Data Into Clear Next Steps
Move beyond what users do to understand why they behave that way, revealing the specificfriction points that prevent feature adoption and workflow completion.


Validate Designs With Real Users Before Development
Validate design decisions with real user feedback before development begins, reducing costlyredesigns and ensuring features solve actual user problems.
Let Patient Voices Drive Real Change
Stop guessing. Start acting on real insights from patients and staff, instantly and effortlessly.Discover how TheySaid can elevate your care experience.
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Key Features for User
Recovery Insights

AI-Moderated User Testing
Conduct in-depth user interviews and usability tests with AI that adapts questioning based on user responses, capturing nuanced feedback automatically.

Real-Time Friction Detection
Deploy feedback triggers at critical workflow moments to capture user thoughts and emotions exactly when they experience product challenges.

Cross-Conversation Pattern Analysis
AI analyzes feedback across multiple user conversations to identify common friction patterns and prioritize product improvements by impact.

Multi-Channel Feedback Collection
Gather insights through embedded emails, in-app popups, QR codes, or recruit from panels—meeting users wherever they naturally interact with your product.
Before & After
Without TheySaid

Limited User Contact
PMs speak to only 2-3 users per month due to scheduling and coordination challenges

Guessing from Analytics
Product usage reports show behavior patterns but leave teams guessing about user motivations and friction points

Research Bottlenecks
Overloaded UX researchers can't keep pace with product team needs for user insights

Feature Overload
ProductBoard fills with requests but lacks context about which features actually solve user problems

Late-Stage Feedback
User input arrives after development completion, leading to expensive redesigns and rework


With TheySaid

Continuous User Insights
AI moderators conduct user interviews at scale, providing regular feedback without scheduling constraints

Behavior Understanding
AI reveals why users behave certain ways, connecting actions to motivations and identifying specific friction causes

Research Acceleration
Product teams access user insights instantly without depending on research team availability or capacity

Validated Feature Decisions
Every feature request backed by real user conversations and validation before development begins

Pre-Development Validation
User feedback guides design decisions before engineering starts, preventing costly rewrites and ensuring adoption success
Stop Building Features Users Won't Adopt
See what our customers had to say.
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Turn Conversations Into Results
Learn how organizations across industries use TheySaid to recover pipeline, reduce churn, and build trust through authentic customer stories.