How to improve information architecture with closed card sorting

Use this closed card sorting template to validate your proposed taxonomy with real users. Test category fit, sharpen labels, and build with confidence.

This template is for:

Information architecture

Content marketing

Research

Marketing

Card sorting

Closed card sorting

Think-aloud

Created by:

Lyssna

Closed card sorting is the fastest way to pressure-test a proposed taxonomy — a core part of your information architecture. The categories are set, the items are defined, and real users decide where each one belongs.

This template helps you validate category fit and item placement in days, so the structure you ship reflects how your audience actually thinks

Why guessing on categories costs you findability

Category names that make sense to your team don't always make sense to your users. A mismatch between what you call a section on your website or in your product and what your audience expects to find there can lead to misclicks and frustration.

The problem usually starts earlier than labeling. Category structures tend to follow org charts, product lines, or internal workflows, not how your users actually think about the content. Skip validation and ship a taxonomy based on internal agreement alone, and you'll likely see it later: navigation people can't use, search traffic dropping because content sits under categories no one looks for, and support tickets about findability.

Open card sorting is the right tool when you're building a structure from scratch and want to see how users would group things themselves. Closed card sorting is the right tool once you already have a proposed structure and want to know if it holds up. You lock in the categories and items, and real users tell you whether the placement makes sense – or where it needs rework before you build.

Preview this template

What this template helps you discover

This template surfaces insights about how well your proposed information architecture works for your audience:

Whether each item lands in the category your team expected
Which categories earn consistent placement across different audience segments
Where items split between two or more categories, signaling overlap or ambiguity
Which category labels communicate clearly and which read as internal jargon
How taxonomy fit shifts across markets, segments, or experience levels

What you'll test

This template measures three dimensions of taxonomy quality, each one giving you a different lens on whether your proposed structure is ready to ship:

Category fit

Category fit measures whether each category earns the items your team intended, on a consistent basis. You'll see which categories are working as designed and which are underused or regularly confused with others. When a category consistently receives items it wasn't meant for, that's a signal to revisit the label, the scope, or both.

Item placement consensus

Item placement consensus shows, for each card, what percentage of participants placed it in the intended category. High agreement means the placement is safe to ship. When items split across two or more categories, you've found an overlap that needs resolving before the structure goes live.

Label clarity

Label clarity reveals which category names match user language and which read as internal jargon. You'll discover where renaming a category shifts item placement patterns, giving you a clear path from confusing labels to ones your audience understands without second-guessing.

How to use this template

Click "Use this template" and log in to your Lyssna account. If you don't have an account yet, you can start with a free plan. The template loads a pre-built closed card sort that you can customize to match your project.
Add your categories and cards. Enter the category labels you want to validate and the items (cards) participants will sort into them. Use realistic labels that match what you'd ship in production, not placeholder names.
Add follow-up questions if needed. Consider including a short survey or open-ended question asking participants to explain any cards they found difficult to place. This qualitative layer helps you understand the reasoning behind placement patterns.
Recruit participants from your target audience. Use the Lyssna panel to recruit participants who match your actual user base, or share the test link with your own network. Aim for 30–50 participants per audience segment for reliable consensus patterns.
Analyze your results for consensus and outliers. Review placement scores for each item and look for cards that split across categories. Focus on items below 75% consensus for the intended category, as these need attention before you build. For a detailed walkthrough of how to view and analyze your card sort results in Lyssna, check out this help center article.

See an example of the results

When to use this template

You've drafted a category structure and need to validate it works for your audience before build
You're migrating a content library or CMS into a new category structure and want to test it first
You're redesigning navigation and need to lock down top-level categories
You're onboarding a new product and structuring its support or help center
Audience segments disagree on where items belong, and you need a split analysis rather than an average
You're preparing for a tree test and want to make sure the underlying taxonomy is validated first