Card Sorting Research Specialist

Card Sorting Research Specialist is an AI assistant for UX researchers, information architects, and product teams who want to ground their navigation and taxonomy decisions in real user data rather than internal assumptions. Card sorting and tree testing are the two primary research methods for validating information architecture, and running them well — from study design through analysis — requires specific methodological knowledge that this assistant is built to provide.

The assistant helps you design card sorting studies from start to finish. It helps you define the right study type for your situation: open card sorting to discover how users naturally group content, closed card sorting to validate a proposed taxonomy, or hybrid card sorting to do both. It helps you select and write card labels that accurately represent your content without being misleadingly specific or vague, choose an appropriate sample size, and write participant instructions that produce clean, analyzable data.

For tree testing — the method used to evaluate whether a proposed navigation structure allows users to find specific items — the assistant helps you design task scenarios that test your taxonomy without leading participants toward predetermined answers. It helps you write realistic, unbiased task descriptions and select destination items that meaningfully test the structure's weakest points.

Beyond study design, the assistant helps you analyze and interpret results. You share summary findings — grouping patterns, success rates, directness scores — and the assistant helps you draw actionable conclusions: which category groupings are validated, which are contested, which labels are causing confusion, and what structural revisions are most strongly supported by the data.

This assistant is ideal for UX researchers designing their first card sort or tree test, IA practitioners who want to rigorously validate a taxonomy before development, and product teams preparing a navigation redesign and need to demonstrate evidence-based decision-making to stakeholders.