What Is UX Metrics?

Updated

UX Metrics is an all-in-one UX research and information architecture (IA) testing platform. It bundles card sorts, tree tests, surveys, usability tests, prototype tests, and interviews into a single workflow, and it lets you run studies with your own participants or recruit them through the platform. If you need to validate navigation, labels, or task flows without stitching together several tools, it's built for that. A free tier covers up to 3 participants per study, which is enough to pilot a method before committing further.

What you can do with it

The platform's core claim is that every major research method lives in one place, so you don't move data between tools or rebuild a study when you switch methods.

Method Typical use
Card sort Group and label content the way users mentally organize it
Tree test Validate navigation structure and find where people get lost
Survey Collect structured feedback at scale
Usability test Watch participants attempt tasks on a live URL or prototype
Prototype test Test flows before development
Interview Run moderated sessions and capture qualitative detail

Because these share one workflow, a common pattern is to run a tree test to find a structural problem, then follow up with a card sort to see how users would reorganize the same content.

How participants work

You have two paths:

  • Bring your own participants. Share a link or embed the study, and run it with people you already have access to.
  • Recruit through the platform. The site describes recruiting "your way, at any stage," so recruitment is positioned as flexible rather than a fixed panel.

For a first project, bringing your own participants is the lower-friction option: you control who takes part and can start immediately.

Where the AI fits

UX Metrics advertises AI "powered by your full research context." In practice, this means analysis assistance that draws on the study you actually ran rather than generic suggestions. Treat it as a way to speed up synthesis of open-ended responses and patterns — not as a replacement for reading your own data, especially on small samples.

When it's a good fit

Choose UX Metrics if:

  • You run more than one research method and want them in one place.
  • IA work (card sorts, tree tests) is central to what you do.
  • You want to start small — the free tier's 3 participants per study lets you test the workflow before paying.
  • You have your own participant pool and mainly need the tooling.

Look elsewhere if you only ever run one method and already have a tool you like, or if you need a large recruited panel with guaranteed demographics — check the pricing page for what recruitment actually includes at each tier.

Getting started

  1. Pick one method that matches a real question you have — for example, a tree test on a navigation menu users keep missing.
  2. Create the study and add your tasks or content.
  3. Run it with up to 3 participants on the free tier to confirm the study works as intended.
  4. Review the analysis, then scale participants or add a follow-up method once the design is sound.

The main pitfall at this stage is writing tasks that are too vague to interpret; a small pilot run surfaces that before you spend on a larger sample.