Packt
Card Sorting: Organize Content with Card Sort Techniques

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Packt

Card Sorting: Organize Content with Card Sort Techniques

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Gain insight into a topic and learn the fundamentals.
Intermediate level

Recommended experience

7 hours to complete
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
Intermediate level

Recommended experience

7 hours to complete
Flexible schedule
Learn at your own pace

What you'll learn

  • Define card sorting and its role in user-centered design

  • Identify optimal scenarios for applying card sorting techniques

  • Plan and execute card sorting studies aligned with research goals

Details to know

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Recently updated!

November 2025

Assessments

11 assignments

Taught in English

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There are 11 modules in this course

In this section, we plan and run an open card sort, analyze clusters to shape information architecture (IA), and contrast results with interviews, surveys, plus existing analysis for evidence-based structures.

What's included

2 videos2 readings1 assignment

In this section, we apply card sorting to surface user mental models, map findings to hierarchical or database IA, and evaluate classification schemes for clear, audience-aligned categories and navigation.

What's included

1 video5 readings1 assignment

In this section, we will learn to clarify your research need, pick a broad or detailed card sort accordingly, and shape goals that translate findings into sound design guidance.

What's included

1 video2 readings1 assignment

In this section, we compare open and closed card sorts, analyze differences between team and individual sessions, and decide when manual versus software tools support trustworthy information architecture decisions.

What's included

1 video2 readings1 assignment

In this section, we catalogue site pages, assess content depth, and craft representative, level-matched card sets for sorting, enabling evidence-based information architecture and clearer navigation.

What's included

1 video3 readings1 assignment

In this section, we select an unbiased facilitator, calculate participant and team sizes aligned with research goals, and structure balanced groups to secure statistically valid, actionable user-research insights.

What's included

1 video2 readings1 assignment

In this section, we craft concise, user-focused card titles, assemble physical or software-based card bundles, and create category labels for closed sorts, ensuring dependable data for intuitive information architecture.

What's included

1 video2 readings1 assignment

In this section, we will learn to prepare supplies, brief participants, and record card sort outcomes that inform better information architecture and user experience decisions.

What's included

1 video3 readings1 assignment

In this section, we turn card-sort results into IA insights by reviewing group patterns, assessing classification schemes, verifying label consistency, and analyzing card placement accuracy to guide evidence-based content organization.

What's included

1 video4 readings1 assignment

In this section, we prep data for reliable statistical analysis, apply K-means and hierarchical clustering, and decode multivariate patterns, enabling clear evidence-based recommendations and actionable business insight.

What's included

1 video4 readings1 assignment

In this section, we synthesize research inputs to craft adaptable information architecture, define taxonomy and labels, then validate prototypes through user testing rather than depending on a single heuristic.

What's included

1 video1 reading1 assignment

Instructor

Packt - Course Instructors
Packt
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