I am a product designer turned builder to create the user research tool of my dreams, wdyt?

Hi!

I am Dario - a product designer with 20+ years of experience, and I will be launching my product fiuto.ai on Sep 1.
Fiuto was born as a personal tool, it is the tool I was looking for but could not find:

• Creating studies is an iterative process that requires review and refining with a team. Current tools do not naturally support iteration: users need to move between tools copying and pasting content, images, videos and finally refine their studies manually with feedback generated in figma, slack, google docs and so forth. This is a process that can take days or even weeks, which naturally puts off teams that need to deliver at speed - especially when features can be implemented in a day.

• Knowledge of product, audience and UX methods is a must when creating effective studies: current tools do not help users fill that gap, and instead target an audience of experts - missing a crowd of users that would benefit from user validation but do not have the skillset or the time to fill that gap without assistance. This is especially true now that product owners, developers, solo builders and even marketers can create their own prototypes using tools like lovable, replit, v0, etc.

• Current tools force their users to pay per-seat to share their work. I think users should be able to share their work freely, platforms should encourage sharing, and remove as much friction from process as possible - with limitations only regarding possible abuse of platform - and that users data is theirs to keep.

• Current tools sell AI as a paid premium add-on. It is also AI that cannot assist users end to end with full context but only intervene granularly at single entry points, with poor understanding of product and study, needing lots of baby sitting from skilled professionals. Fiuto is an agent first, using a research toolset it understands perfectly well.

• Current tools are only starting to explore MCP integration, and only to support their in-app experience. Fiuto aims to provide full parity between MCP and the web app, so that users can work on their research without opening the browser. All tools available to in-app agent will eventually make their way to MCP.

I believe that with Fiuto anyone can build and launch well crafted user research and get the insights that will help them validate new features and products before launch.

What can Fiuto do now:

1. Draft and create surveys with AI that uses your product as context and solid UX documentation as foundation to generate well crafted, customised studies - on all plans including Free - in minutes, not days.

2. Get insights from the way users interact with your studies, so that you can validate them and tweak them before implementing

3. Create visual decks from your findings that you can share with your team

Access and manage your studies as you like:

1. Your data is fully portable, you can also access all your studies data externally via token and MCP

2. All tools available in app are also available via MCP (claude code, code, lovable, replit, v0, or any other agent supporting MCP servers), you can work on your studies without touching the web app.

3. Studies data is also available through API tokens that can be easily rotated, so that you can share granular data with anyone in your team

What will Fiuto do soon

1. Panel integration: currently Fiuto users can share their study links through their social netowrks, with their own users or using third party platforms such as Prolific. I will soon integrate Prolific as a panel provider so that users can also create a panel study without leaving the app, or via MCP.

2. Synth users: I have already created synth users, and only need to productise them. I will initially frame them as a QA and UX tool: a way for users to clear blockers in their studies before launch, and a way to identify clear UX gaps in their products. Not a replacement for real users as synth users cannot reliably predict user behaviour.

3. AI interviews: With good context, AI can conduct decent interviews. This will scale moderated interviews from a realistic dozen of human moderated interviews per cycle to potentially hundreds of AI moderated interviews per cycle. Cycles will also be much faster, and with AI analysis the whole e2e timeframe for actionable qualitative feedback could be compressed under one day, and with wider breadth.

4. AI recruitment: I have been exploring ways to leverage AI agents to pool/recruit real users for testing, as an alternative to traditional panel integration.

There are lots more features I am thinking of!

Finally I would love to know from you:

• Do you see clear use case for product?

• Would you use it or know anyone who could benefit off it?

• Which roadmap feature appeals to you most, and are there any other features not mentioned here you would like to try?

• Which one do you think should be definitely in before launch day?

Sorry for long post, and hope it was not too markety!
I wrote the whole thing without AI :)