Discover how your users intuitively group information to build a clear, logical, and user-friendly site architecture (IA).
Card Sorting is a foundational UX research technique where participants are asked to group content/topic items (represented on 'cards') into categories (groups) that make sense to them. This helps you understand your users' mental models, which is essential for designing effective navigation, menus, and information hierarchies.
Card Sorting is the essential first step in building a user experience that just makes sense. By involving users early, you ensure your site's structure mirrors their mental model, resulting in a clear, highly usable product.
Create menus, sitemaps, and content hierarchies that directly align with how your users naturally think.
Users find what they need instantly, leading to lower bounce rates and higher conversion rates.
Gain objective, user-driven data to test your existing or planned structure before committing to costly development.
Ensure your foundational Information Architecture (IA) is right the first time, avoiding expensive structural redesigns post-launch.
Card Sorting is implemented across various scenarios where content structure is paramount:
Define primary navigation and feature groupings from scratch.
Simplify or restructure an overwhelming or outdated main menu (e.g., for an e-commerce site).
Structure your help center or FAQ content for easy self-service.
Ensure product categories and filters make logical sense to your shoppers.
We make setting up your Card Sort simple, but our real power lies in the advanced analysis tools that turn raw data into clear, actionable recommendations for your site structure.
| Step | Action | Userfeel Advantage & Insights Gained |
|---|---|---|
| Step 1 |
Define & Refine Your Cards Create a precise list of content items (cards) you need users to organize (e.g., "Returns Policy," "Product Specs," "Billing History"). |
Need help defining clear card labels? Our team can assist you directly with best practices to ensure your collected data is relevant and unambiguous. |
| Step 2 |
Choose Your Participants Choose your audience from the global, vetted Userfeel panel. |
Targeted Recruiting: Easily define demographic criteria (age, location, experience) to ensure your results accurately reflect your target market's mental model. |
| Step 3 |
Launch, Observe, & Collect Data Deploy the Card Sort. Participants complete the sorting task at their own pace. Userfeel handles all data collection and storage automatically. |
Fast, Automated Results: Userfeel manages recruitment and collection, delivering results rapidly. |
| Step 4 |
Analyze Actionable Grouping Patterns Move beyond raw numbers. Instantly view powerful visual reports to identify the optimal hierarchy for your site. |
Proprietary, Actionable Analysis: Our tools instantly transform data into clear structural recommendations, featuring:
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Get the data you need without the burden of an unused, inflexible annual enterprise commitment. Choose the path that fits your research volume.
Just $60 USD per credit. Purchase only what you need, when you need it. Card sorting sessions are cost-effective at only 0.5 credits per completed participant.
Designed for teams testing more frequently. Unlock lower per-credit rates, advanced team management, and priority research support.
Card Sorting Sessions are priced simply at 0.5 Credit per completed participant. Whether you need a quick validation or a deep quantitative study, our recommendations, based on industry best practices (like NNG), help you budget accurately.
| Your Research Goal | Recommended Minimum Participants | Total Cost in Credits |
|---|---|---|
| Quick Validation / Qualitative Check | 15 Participants | 7.5 Credits |
| Robust Quantitative Study / Generalizable Results | 30 Participants | 15 Credits |
Price includes sourcing targeted participants from our global, vetted panel.
You are only charged for completed and fully approved sessions.
Access to all advanced reporting tools, including Popular Groupings and the Card-Group Agreement Matrix.
New to organizing large datasets or unsure about your research scope? The Userfeel team includes dedicated UX research specialists ready to guide you through your Card Sorting project, ensuring your results are clear and actionable.
Review your content items for clarity and eliminate potential bias, ensuring your card labels represent distinct concepts.
Recommend the ideal number of participants (e.g., Qualitative vs. Quantitative minimums) to meet your specific study goals.
Guide you through setting up demographic screeners and behavioral criteria to ensure your participants accurately represent your user base.
Assist with interpreting the key output reports (like Popular Groupings and the Agreement Matrix) to translate data into direct IA improvements.
Don't let analysis paralysis stop you. Contact our support team today and launch your high-impact card sorting with confidence!
Contact Our Support Team