Feature prioritisation
Ship what your users put first
Feature prioritisation with user research asks the people who would use your features to rank them, so the roadmap follows a real order of importance.Paste your URL and Fiuto builds a free ranking study for you in minutes. No research experience required.
A preview player for a feature prioritisation study. It steps through the four blocks a respondent sees, and is paused on the third: a ranking of candidate features by usefulness, mid-drag, with the Fiuto panel floating over the list holding the instruction.
What is feature prioritisation with user research?
Feature prioritisation with user research gives the people who would use a feature a real shortlist and asks them to rank it. It replaces an internal scoring model's guess about demand with an actual order from the audience the roadmap is for.
Ranking beats rating here because it forces a trade-off. Rating lets three features score equally well, which hides which one should ship first. A ranking question, followed by one line on why the top choice won, gives you the order and the need behind it.
The result is a user-demand signal you can weigh against effort, cost, and strategy, instead of a debate settled by whoever argues longest in the planning meeting.
When to run oneRun one before a roadmap commitment, when the team is split between two or three plausible next features.
How Fiuto runs it for you
The whole loop, from a blank study to a readout, with nothing to learn first.
Fiuto writes the study
Paste your URL and name the features you are weighing. Fiuto drafts a ranking study around them, with a line for the reason behind the top choice. You review the draft before anything launches.
AI respondents go first
AI respondents rank the shortlist straight away, so you have a first read on the order within minutes and can tighten the list before real users see it. Up to two of them can be AI experts in conversion, usability, copy or SEO, on every plan including Free.
Real people, recruited or your own
Describe the user you need and Fiuto recruits them for you, or share the link with your customers, waitlist, and community. Every run is labelled with who answered it.
Fiuto reads the results back
The average order across everyone, the reasons behind the top choice, and a takeaway with the quotes behind it. Findings, a readout, and a deck you can bring to the roadmap conversation. Share it with as many collaborators as you like, and export the raw data as CSV or JSON on every plan including Free.
The methods behind it
Two of the 18 methods Fiuto runs. Each page opens on a URL field, so you can start from the method instead.
Frequently asked questions
01What is feature prioritisation with user research?
It means asking the people who would actually use your features to rank the options, instead of relying only on an internal scoring model built from assumptions about what users want.
02How is this different from a scoring framework like RICE?
A scoring framework like RICE combines internal estimates of reach, impact, effort, and confidence. Prioritising with user research adds a real signal to that confidence number: an actual ranking from the people the feature is for, not just a team's best guess.
03Should I ask users to rank features or rate them?
Ranking works better when you need relative priority and want people to make trade-offs between options. Rating lets several features score equally well, which can hide which one should actually come first.
04Do I need research experience to run a prioritisation study?
No. Paste your URL and Fiuto writes the ranking study, runs it with AI respondents, recruits real users if you want them, and reads the results back into findings. You review each step before it launches.
05Does Fiuto recruit people for feature prioritisation research?
Yes. Describe the user you need and Fiuto recruits a matched panel for you. You can also share the study link with your own customers, waitlist, or community, and the two kinds of run stay labelled separately.
06How many people do I need to prioritise features?
A focused group ranking the same list of features usually produces a clear order. More people sharpen the signal; the method itself does not change.
07Can I combine user rankings with my own internal scoring?
Yes. Many teams run the ranking study first, then feed the resulting order into their own scoring model as the user-demand input, alongside effort and internal impact estimates.
08Can I run this from my coding agent?
Yes. Fiuto's research assistant works in the app, over MCP from Claude Code, Cursor, Codex, Lovable, v0, Replit and Bolt, and over the API. It creates, launches and reads back the study on every plan including Free.
09Is it free, and can I cancel?
The free plan needs no card: every method, 1 live study a month, 10 responses per study and 600 AI credits a month, with the AI included. Upgrade, downgrade or cancel any time from the billing page, with no sales call at any step.
10Does Fiuto run AI interviews?
AI interviews are an upcoming feature, in development now, and this page will list them the day they are out of alpha. Until then Fiuto runs unmoderated studies across 18 methods, with AI respondents first and real people after.