01
Describe the need
Tell the tool what you are trying to learn, what you are testing, and where you are in the product cycle.
Please rotate your phone.
This experience is designed for portrait mode.
AI Product Tools / AI UX Methods Finder
AI UX Methods Finder
A guided tool for choosing how to get the right evidence. In this tool, a “method” simply means the way you learn or test a decision: interviews, usability testing, surveys, analytics review, and more.
Standard
AI Assist
Next Practices
Quick start
Answer a few practical questions and the tool will recommend the ways of learning that best fit your situation. It is designed to stay understandable even if you do not work in UX every day.
Primary = strongest fit Backup = useful alternative Compare = pin up to 3
02
Add real-world constraints
Timeline, budget, user access, and risk all change which methods are actually practical.
03
Review the tradeoffs
Use the top recommendations first, then check backup methods and pin options you want to compare side by side.
What are you trying to do?
Choose the main outcome you need right now.
What are you testing?
Pick the thing that best matches the decision you need to make.
What stage are you in?
Stage helps the finder balance exploration versus validation.
Team type
The same method can feel very different across operating environments.
Timeline
How much time can you really dedicate right now?
Budget
Choose the practical budget level for this effort.
Risk of getting it wrong
Higher risk usually means you want more confidence, not just speed.
Access to users
Be honest about access. It changes what is truly feasible.
Compare view. Pin up to three methods from Finder or Library to compare them side by side.
This is helpful when the decision is not about one “perfect” method, but about which tradeoff profile best fits your team.
How the finder works
The recommendation engine scores methods against your goal, what you are testing, stage, team type, timeline, budget, risk, and level of user access. It then shows the strongest overall fits first, followed by good backup options with different tradeoffs.
In plain language: it is trying to answer “what is the most practical way to get trustworthy evidence for this decision?”
A
Primary vs backup
Primary methods are the strongest overall fits. Backup methods are often useful when your access, speed, or coordination realities change.
B
AI Assist
AI is framed as support for drafting, synthesis, structure, and documentation. It does not replace real users or critical human judgment.
C
Next Practices
Next Practices show more modern and reusable ways to run methods, connect findings to decisions, and build repeatable team workflows.
Decision-support tool. The finder is designed to help teams choose a practical way to learn faster,
not to claim there is one universally correct research process. In many cases, the best answer is a smart combination
of methods rather than a single method in isolation.