Card Sorting

Streamlining Your User Experience

Where User Understanding Leads to Innovation

In the intricate world of User Experience (UX) design, understanding how users categorize and interpret information is crucial. At Nighthawk, we use Card Sorting, a powerful UX research technique, to gain these insights directly from your users. This method is key to creating intuitive, user-friendly information architectures that resonate with your audience.

What is Card Sorting?

Card Sorting is a participatory research method where users organize topics into categories that make sense to them. This technique helps uncover how users think about your content and structure, leading to a more intuitive user experience. It's especially useful for designing or evaluating the information architecture of websites, apps, and digital products.

Why Card Sorting?

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    User-Centric Information Architecture
    Align your product’s structure with how users naturally categorize information.

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    Enhanced Navigation and Usability
    Improve the findability of information, leading to a smoother user journey.

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    Insights into User Thinking
    Gain a deeper understanding of user perceptions and mental models.

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    Data-Driven Design Decisions
    Make informed decisions about content organization and site layout based on actual user input.

Our Card Sorting Process


  • We define the scope and objectives of the card sorting session, identifying key content and functionalities to be tested.


  • Participant Recruitment: Selecting representative users who reflect your target audience.
  • Session Facilitation: Conducting organized card sorting sessions, either remotely or in-person, where participants categorize content into groups that make sense to them.

Analysis and Interpretation

  • Analyzing the results to identify patterns and trends in how users categorize and prioritize information.
  • Drawing actionable insights for structuring your content and navigation paths.

Reporting and Recommendations

  • Providing a detailed report with findings, visual representations of the data, and practical recommendations for your information architecture.