AI-assisted study creation
Describe what you want to learn or provide a URL, and Fiuto drafts a study plan with blocks such as intake forms, five-second tests, live website tasks, multiple-choice questions, and open-text prompts.
Fiuto
Fiuto is a user research platform for builders, founders, and product teams. It creates and launches studies with AI testers or real respondents, analyzes the results, and produces shareable readouts and decks from a web app or supported coding agent.
User research from study creation to readout
Fiuto is a user research platform for builders, founders, and product teams that want to test a product without managing a research process from scratch. Starting from a product URL or a description of what they want to learn, users can create a study, review its blocks, launch it with AI testers or real respondents, and inspect the resulting findings.
The product covers both lightweight prototype checks and broader research loops. It supports live websites, deployed apps, landing pages, and shared Figma prototypes, then turns study responses and traces into a readout and shareable deck. Studies can be run in the browser or from supported coding agents through Fiuto's MCP server.
Research workflow and capabilities
AI testers and experts
AI testers and specialist AI experts can review a study before it reaches real people. Expert perspectives cover conversion, usability, copy, and SEO, with findings kept separate from respondent answers.
Live prototype and respondent testing
Run studies on deployed apps, landing pages, working websites, or shared Figma prototypes. Real respondents can use a shareable link or be recruited from Prolific through a paid order.
Analysis and shareable readouts
Fiuto analyzes responses and activity into findings, a readout, and a deck that can be shared with collaborators or through a view-only link.
Coding-agent workflow
The MCP server provides 32 tools for creating studies, reviewing plans, launching tests, wrapping prototype URLs, reading results, and exporting study data from supported coding agents.
Team collaboration
Invite collaborators with study-level roles. Viewers can be invited on every plan, and Core and Pro include unlimited editors rather than seat-based pricing.
Practical use cases
Pre-launch usability checks
Test a landing page, pricing page, or onboarding flow with AI testers before sharing it with customers. Use the early feedback to identify unclear copy, navigation problems, or conversion friction.
Feedback from an existing audience
Send a study link to an existing user base, waitlist, or community to collect responses on a live product experience without requiring respondents to create Fiuto accounts.
Targeted respondent research
Define an audience and order paid recruitment from Prolific when a product team needs responses from people outside its own network. Recruitment costs are shown before ordering and are separate from AI credits.
Research inside an agent-led build
Use the MCP endpoint from a coding agent to draft a plan, review study blocks, launch a test around a prototype, and bring findings or traces back into the development session.
Pros and Cons
Pros
- Covers study planning, launch, analysis, and presentation in one workflow.
- Allows teams to compare AI tester feedback with separately labelled responses from real people.
- Can be operated in the browser or through a 32-tool MCP server in supported coding agents.
- Uses account- and study-level collaboration controls rather than charging per seat.
- Offers a Free plan with no card requirement and no time-limited trial.
Cons
- The quality and representativeness of AI tester feedback should not be treated as a substitute for real respondents.
- Real-person recruitment through Prolific is an additional paid order outside the plan's AI credits.
- The documented workflow is centered on URL-based testing and shared Figma prototypes; broader integration coverage is not listed.
FAQ
Do I need coding or research experience to use Fiuto?
No. You can use Fiuto's web app to describe what you want to learn, review the proposed study, launch it, and read the results. If you use Claude Code, Cursor, Codex, Lovable, v0, Replit, or Bolt, Fiuto can also run the workflow through its MCP server.
Does Fiuto provide respondents, or do I bring my own?
Both options are available. Fiuto's AI testers run through the study first, while real respondents can be recruited from Prolific for a paid order or reached through a shareable study link. AI and human responses remain labelled separately, and respondents do not need a Fiuto account.
What can I test with Fiuto?
Fiuto can work with a live URL, including a deployed app, landing page, working website, or shared Figma prototype. The site says it records the path people take through the tested experience.
What does Fiuto produce after a study?
A study can produce findings, a readout, and a shareable insight deck. Fiuto also supports collaborative sharing, and the MCP and web workflows can return study results for further use.
How does team access and pricing work?
Pricing is per account rather than per seat. The Free plan has unlimited viewers, while Core and Pro allow unlimited editors. Free includes one live study per month, 10 responses per study, and 600 AI credits per month; paid plans raise those limits.
Quick Facts
- Category
- User research and UX research
- Primary users
- Builders, founders, product teams, and researchers
- Testing inputs
- Live URLs, deployed apps, websites, and shared Figma prototypes
- AI access
- AI testers plus conversion, usability, copy, and SEO experts
- Developer surface
- MCP server with 32 tools; endpoint: mcp.fiuto.ai
- Free plan
- 1 live study/month, 10 responses/study, and 600 AI credits/month
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