Unified research projects
Create AI-moderated user tests, interviews, surveys, and polls from a unified test builder. Conditional logic, templates, and localization in more than 70 languages are listed among the platform capabilities.
TheySaid
TheySaid is an AI user testing and feedback platform for product, UX, and research teams. It supports human and synthetic audiences across user tests, interviews, surveys, and polls, with AI analysis and workflow-based validation.
Overview
TheySaid is an AI user testing and feedback platform for product, design, research, and experience teams. It lets teams collect evidence from real customers, recruited participants, third-party panels, or synthetic users trained on selected customer data, then analyze reactions to products and designs.
The platform is designed to place validation in existing build workflows rather than require a separate research process. Teams can run tests and other feedback projects, review recorded sessions and AI-generated findings, and in described workflows attach validation evidence to tickets or use fix prompts in development tools. A free plan is available, while enterprise plans add broader project types, recruiting, integrations, governance, and workspace options.
Features
Human participant research
Run studies with your own customers, recruited testers, or third-party panels. The platform lists shareable links, email, popups, embeds, and QR codes as distribution options, with panel recruiting available on higher-tier plans.
Synthetic audiences
Use synthetic testers trained on selected customer data, including call recordings, surveys, support tickets, and CRM data. The site says teams can compare synthetic and human responses on the same designs.
Session analysis and reporting
Record screen activity, voice feedback, think-aloud behavior, and behavioral timestamps. AI-generated summaries, task metrics, highlight clips, issue patterns, and recommendations turn sessions into reviewable findings.
Embedded validation workflows
The platform describes workflows in which validation can run from MCP-connected tools or automatically when a Jira ticket reaches a design-complete stage, with findings attached to the ticket and prompts supplied for fixes.
AI assistance and integrations
Free-plan capabilities include an AI project creator, AI moderator, analytics and reporting, Teach AI for uploading context, and shareable links. Enterprise listings add cross-project insights, custom API and webhooks, CRM integrations, SSO/SAML, and multiple workspaces.
Use cases
Design and concept validation
Show prototypes, designs, or product concepts to target customers or synthetic audiences before implementation. Teams can identify confusion and friction early and rerun tests after changes.
Usability and conversion research
Check onboarding, checkout, pricing, messaging, feature adoption, or other critical journeys with task-based sessions and measurable outcomes such as task completion and time on task.
Qualitative and quantitative feedback
Use a unified project builder for AI interviews, surveys, or polls when a team needs broader attitudes, explanations, or directional feedback beyond a task-based usability test.
Audience and segment comparison
Connect selected customer evidence to synthetic audiences, then compare buyer, end-user, or executive perspectives on the same design. This can help teams narrow options before investing in human studies.
Continuous product validation
Run validation from development workflows, including the site's described MCP and Jira ticket scenarios, so design or build decisions receive evidence before release and after changes.
Pros and Cons
Pros
- Supports both human participant research and synthetic testers trained on customer data.
- Combines user tests, interviews, surveys, and polls in one test-building environment.
- Provides recorded behavioral evidence alongside AI summaries, metrics, clips, and recommendations.
- Can distribute projects through links, email, popups, embeds, and QR codes, with workflow automation described for MCP and Jira-based validation.
- Offers a free plan with AI moderation, analytics, reporting, and a stated allowance of 5 AI user tests and 50 AI surveys per month.
Cons
- Some capabilities are plan-dependent: enterprise listings include panel recruiting at scale, conditional logic, API and webhooks, CRM integrations, SSO/SAML, and unlimited workspaces or active tests.
- Human panel recruitment can incur additional fees, especially for hard-to-find participant profiles.
- The platform supports synthetic testing, but the site positions human testing as useful for higher-confidence or larger product decisions rather than a universal replacement.
FAQ
What is TheySaid?
TheySaid is an AI user research and testing platform for collecting feedback through user tests, interviews, surveys, and polls. It can work with your own customers, recruited testers, third-party panels, or synthetic users trained on selected customer data.
Is there a free plan?
The Free plan includes 5 AI user tests per month, 50 AI surveys per month, one workspace, and one active test. It includes AI project creation, AI moderation, analytics and reporting, and shareable feedback links; no credit card is required to start.
What is a participant's experience?
Users can open a test link and complete guided tasks while sharing their screen and thoughts. The platform records screen activity and voice feedback, and AI can guide the session and ask follow-up questions without requiring a download or technical setup.
What outputs do tests provide?
TheySaid can produce AI summaries, task-completion and time-on-task metrics, repeated-issue patterns, highlight video clips, and prioritized recommendations. Sessions can also be reviewed through recordings, voice feedback, and behavioral timestamps.
Can teams combine human and synthetic testing?
The platform supports testing with human audiences and synthetic audiences. Synthetic testers can be tuned with selected sources such as call recordings, surveys, support tickets, and CRM data; the site also describes comparing synthetic and human results on the same designs.
Quick Facts
- Category
- AI user testing and feedback platform
- Primary users
- Product managers, UX designers, UX researchers, and product teams
- Research formats
- User tests, interviews, surveys, and polls
- Audience types
- Own customers, recruited or panel participants, and synthetic users
- Free plan
- 5 AI user tests and 50 AI surveys per month
- Workflow
- Web distribution plus described MCP and Jira validation workflows
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