UX Research and Information Architecture

IBM connects research findings with the structure of an interface. Research foundations lead into affinity mapping, personas and a priority matrix before card sorting and tree testing address navigation. A final project brings the sequence together. This course suits learners who want to understand how evidence about people and content can inform an information architecture.

What you will learn

• Choose research methods around a product-lifecycle question.
• Organize findings through affinity mapping and priorities.
• Use card sorting and tree testing to examine navigation.

Who this suits

No degree or programming experience is required. Basic computer literacy and some design background are helpful; Coursera lists the expected level as intermediate.

Before you enroll

Check the final-project and assessment access included in your enrollment. A tidy navigation diagram is a hypothesis about findability and should be evaluated with realistic tasks and an appropriate audience.

Coursera offers paid enrollment or subscription access. Check the enrollment screen for included assessments, certificate terms, trials and any financial-aid options. Access conditions can change; review the current offer before paying.

Put it into practice

Create a small content set, propose a navigation structure and test whether another person can locate a specific item. Record the mistaken paths and revise the labels based on observed confusion.

Source and review

This overview is based on the provider's published information, checked on 14 October 2026. It is an editorial assessment, not a claim that we completed the resource. Time filters are approximate study ranges; projects and exercises can take longer.

View the curriculum and current access options at Coursera.

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