Free card sorting tools compared (2026)

Card sorting is one of the most reliable ways to understand how people think about information architecture. The method is straightforward. The analysis is where things get interesting. And the tool you choose determines how much of that analysis you have to do yourself.

This is an honest comparison of eight free card sorting tools available in 2026. We build one of them (CardSort), so we have obvious bias — but we have done our best to be fair about where each tool genuinely excels and where it falls short. If a competitor does something better than us, we will say so.

What to look for in a card sorting tool

Before the comparison, here is what actually matters when choosing free card sorting software:

Sort types supported. Open sorts (participants create their own groups), closed sorts (you define the groups), and hybrid sorts (mix of both) serve different research questions. A tool that only supports open sorts limits the questions you can answer.

Analysis quality. The gap between tools is widest here. Basic tools give you raw data. Better tools generate similarity matrices, dendrograms, and participant agreement scores. The best tools help you interpret the data, not just display it.

Participant experience. If the sorting interface is confusing or slow, your data quality suffers. Participants who struggle with the tool produce noisy results that are hard to interpret.

Free tier limits. "Free" means different things. Some tools cap responses per study. Others limit the number of active studies. Others gate analysis features behind a paywall. Know what you are actually getting.

Integrations and workflow. Card sorting rarely happens in isolation. It is usually part of a broader research effort that includes discovery, competitive analysis, and validation. Tools that connect to the rest of your workflow save real time.

The tools

1. CardSort

Summary: A free UX research platform that started with card sorting and expanded into a connected research workflow covering discovery, competitive analysis, validation, and stakeholder reporting.

Sort types: Open, closed, hybrid, plus tree testing.

Free tier: Unlimited studies, unlimited participants, unlimited card sorts and tree tests. Surveys and interviews also included. Basic reports free. AI insights, branded reports, advanced analytics, and CSV export require Pro ($19/mo).

Standout feature: Cross-phase data flow. Card sort findings feed into your research brief, connect to competitive analysis, and roll up into a shareable stakeholder report — all in one platform. You can also recruit participants directly through Prolific integration.

Biggest drawback: CardSort is a newer platform with a smaller user base than established players like Optimal Workshop. If you need an extensive track record or a large existing community, that matters. The analysis features are strong but still growing.

Best for: Researchers who want a free, full-featured card sorting tool that connects to the rest of their research workflow without paying $100+/month.

2. Optimal Workshop / OptimalSort

Summary: The longest-running dedicated card sorting tool and the name most researchers know. OptimalSort is part of Optimal Workshop's broader suite that includes Treejack (tree testing), Chalkmark (first-click testing), and Reframer (qualitative analysis).

Sort types: Open, closed, hybrid.

Free tier: 10 responses per study. This is the most significant limitation — 10 participants is below the threshold most researchers consider reliable for card sort analysis. You will almost certainly need to upgrade for real studies.

Standout feature: Deep dendrogram analysis. Optimal Workshop has had years to refine their dendrograms, and they remain the most detailed in the market. If dendrogram quality is your primary concern, OptimalSort is hard to beat.

Biggest drawback: Pricing. The jump from the free tier to a useful plan is steep — team plans start at $199/month. The interface also feels dated compared to newer tools, though the underlying analysis remains strong.

Best for: Established research teams with budget who want the most mature dendrogram analysis available.

3. Maze

Summary: Maze is a design testing platform that includes card sorting as one of many test types. It is primarily known for prototype testing, but the card sorting module is competent.

Sort types: Open, closed.

Free tier: 1 active study at a time with limited responses.

Standout feature: Access to a large participant panel. If you struggle with recruitment, Maze's built-in panel can get you participants quickly. The platform also integrates tightly with Figma and other design tools.

Biggest drawback: Card sorting is clearly a secondary feature. The analysis is basic compared to dedicated card sorting tools — you get the essentials but not the depth. And pricing jumps to $99/month for the Organization plan, making it expensive if card sorting is your primary use case.

Best for: Teams already using Maze for prototype testing who want to add card sorting without adopting another tool.

4. UXtweak

Summary: A research platform based in Europe with a surprisingly generous free tier and solid analytical capabilities. UXtweak covers card sorting, tree testing, usability testing, and session recording.

Sort types: Open, closed, hybrid, plus tree testing.

Free tier: 3 active studies with reasonable participant limits. The free tier is more usable for real research than most competitors.

Standout feature: Good analytics relative to the price point. UXtweak generates similarity matrices, dendrograms, and agreement tables that are genuinely useful for analysis. The participant recruitment panel is also available on free accounts.

Biggest drawback: Setup can be complex. The interface has a steeper learning curve than simpler tools, and some configuration options feel over-engineered for straightforward card sorts. Documentation helps, but expect to spend time getting oriented.

Best for: Researchers who want solid free analysis and do not mind investing time in learning the interface.

5. UX Metrics

Summary: A focused card sorting and tree testing tool with a clean, minimal interface. UX Metrics keeps things simple, which is both its strength and limitation.

Sort types: Open, closed.

Free tier: Limited number of responses per study.

Standout feature: Clean, intuitive UI. Setting up a study takes minutes, and the participant experience is smooth. If you value simplicity and speed over analytical depth, UX Metrics delivers.

Biggest drawback: Fewer analysis features than dedicated platforms. You get the basics — category groupings, agreement percentages — but not the similarity matrices or dendrograms that deeper analysis requires. You may end up exporting data to analyze elsewhere.

Best for: Quick, simple card sorts where you need results fast and do not need deep analysis.

6. kardSort

Summary: A lightweight card sorting tool that focuses on doing one thing without unnecessary complexity. kardSort is stripped down and straightforward.

Sort types: Open, closed.

Free tier: Basic features with limited studies.

Standout feature: Simplicity. You can create and launch a card sort in minutes with almost no learning curve. The participant experience is equally minimal and fast.

Biggest drawback: Limited analysis. You get grouping data, but the analytical tools are basic. No similarity matrix, no dendrogram, limited export options. For anything beyond a quick directional study, you will need to move your data into another tool.

Best for: One-off card sorts where speed matters more than analytical depth.

7. Miro

Summary: Miro is a collaborative whiteboard tool, not a card sorting tool. But its card sort templates and sticky-note functionality make it a popular choice for teams that want to run card sorts in a collaborative workshop format.

Sort types: Open and closed (via templates — technically manual).

Free tier: Unlimited boards with some collaboration limits.

Standout feature: Real-time team collaboration. If you want to run a card sort as a live workshop exercise with participants and stakeholders in the same virtual room, Miro is unmatched. The facilitation experience is excellent.

Biggest drawback: No automated analysis whatsoever. Every card sort on Miro is a manual process. You place sticky notes, participants drag them around, and then you count and categorize the results yourself. There are no similarity matrices, no dendrograms, no agreement scores. For a study with 5 participants, this is manageable. For 30 participants, it is a significant time investment.

Best for: Facilitated workshops with small groups where collaboration matters more than statistical analysis.

8. FigJam

Summary: FigJam is Figma's collaborative whiteboard, and like Miro, it gets used for card sorting through templates and sticky notes rather than purpose-built functionality.

Sort types: Open and closed (manual, template-based).

Free tier: Free with any Figma account.

Standout feature: Tight integration with Figma's design workflow. If your team already lives in Figma, running a quick card sort in FigJam means no context switching. The visual design of templates is also polished.

Biggest drawback: The same fundamental problem as Miro — no real card sort analysis. You are doing everything manually. FigJam also has fewer card-sort-specific templates than Miro, so setup takes more effort. It is a whiteboard with sticky notes, not a research tool.

Best for: Design teams already in Figma who want to run a quick, informal card sort without leaving their ecosystem.

Comparison table

A few things jump out from this table. If you need hybrid sorts, your options narrow to CardSort, Optimal Workshop, and UXtweak. If you need automated similarity matrices and dendrograms without paying, CardSort is currently the only option. And if you are considering Miro or FigJam, understand that you are trading analytical capability for collaboration — which is a valid trade-off, but only if you are prepared to do the analysis work manually.

Verdict by use case

Best for quick, simple studies

UX Metrics or kardSort. If you need a fast answer to a straightforward question — "do users expect these items in the same group?" — these lightweight tools get you there with minimal setup. Just know that you are trading depth for speed.

Best for comprehensive IA research

Optimal Workshop if you have budget. Their dendrogram analysis is the most mature, and the broader suite (Treejack, Chalkmark) covers adjacent methods well. CardSort if you want comparable analysis without the $199/month price tag — the free tier includes the analytical tools that Optimal Workshop gates behind paid plans.

Best for teams on a budget

CardSort. Unlimited free studies with similarity matrices, dendrograms, and tree testing included. The connected workflow (discovery through reporting) means fewer tools to manage. Pro at $19/month is significantly cheaper than alternatives if you need AI insights or branded reports.

Best for workshop-style research

Miro. Nothing else comes close for facilitated, collaborative card sorting. Just plan for manual analysis afterward.

Best free option overall

This depends on what "free" needs to include. If you need real analysis — similarity matrices, dendrograms, agreement scores — on a free tier with unlimited participants, CardSort is the strongest option. If you need the most established brand name and are willing to work within a 10-response limit, Optimal Workshop has the longest track record. If collaboration matters most, Miro gives you unlimited boards.

Our honest recommendation: start with the free tier of whichever tool fits your primary use case, run one real study, and evaluate based on the actual experience rather than feature lists. Most tools let you get started in minutes, and the best comparison is the one you do yourself.

FAQ

How many participants do I need for a card sort?

For most card sorting studies, 15-30 participants gives you reliable patterns. Below 15, individual preferences distort the data. Above 30, you typically see diminishing returns — the similarity matrix stabilizes and new participants rarely shift the groupings. Some tools cap free-tier responses well below this threshold, which limits the usefulness of the free plan for real research. Check the comparison table above to see which tools give you enough free participants to run a meaningful study.

Can I use a free tool for professional research?

Yes, with awareness of the limitations. Free tiers often restrict analysis features, response counts, or export options. For a professional study, you need at minimum: enough participants (15+), a similarity matrix or equivalent analysis, and the ability to share results with stakeholders. Some free tiers meet all three requirements. Others require upgrading for at least one. The question is not whether free tools are professional — it is whether the specific free tier covers what your study needs.

What is the difference between a card sort and a tree test?

A card sort asks participants to organize items into groups, revealing how they think information should be structured. A tree test gives participants a predefined structure and asks them to find specific items, revealing whether the structure works. They answer opposite questions: card sorting tells you how to build the IA, tree testing tells you whether the IA you built works. The strongest approach is to run a card sort first, build the navigation based on the results, then validate it with a tree test. Several tools in this comparison — CardSort, Optimal Workshop, and UXtweak — support both methods, which makes this workflow straightforward. For a detailed comparison, see card sorting vs tree testing: when to use each.

Further reading

• What Is Card Sorting? The Complete Guide
• The complete guide to card sorting — everything you need to know about planning, running, and analyzing card sorts
• Card sorting vs tree testing: when to use each — how these two methods complement each other
• Card Sorting (UX Glossary) — a concise definition and overview of the method
• Tree Testing (UX Glossary) — what tree testing is and when to use it