Card sorting and tree testing for information architecture.
The Problem
You are designing or redesigning navigation. Categories, labels, menu structure. You want it to match how users actually think, not how your org chart looks.
Users can't find what they're looking for, but you don't know why. Guessing at navigation labels and structures is expensive to fix after launch. Internal teams organize information by how they work, not how users search. You end up with navigation that makes sense to you but confuses everyone else.
The Solution
We run card sorting to discover how users group concepts, and tree testing to validate if they can find what they need. Data-driven IA decisions, not opinion-based debates.
Information architecture that matches user mental models. Navigation that works on first try.
Let users group and label content categories. Discover their mental model before you impose yours.
Test findability without visual design distractions. Pure navigation performance data.
Measure exactly how many users find key pages and where they get lost.
See every click path. Identify which menu structures cause confusion and backtracking.
We map your content inventory and define key findability tasks to test.
Participants organize your content into categories that make sense to them.
Tree test your proposed structure against user tasks to validate findability.
Dendrograms, similarity matrices, and clear IA recommendations delivered.
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Or reach us directly at marc.busch@user-feedback.at or +43 699 197 101 86