Step 1 of 7

Study details

Give your study a name, describe what you're testing, and optionally add a research plan so AI can write better tasks.

Study name

Study description (helps AI write better tasks)

Research plan (optional — research questions, user goals, hypotheses; AI uses this for task generation)

↑ Upload .txt or .md

Participant intake

Consent & screener

Edit what participants will see before starting, and add any optional screening questions.

Participants will see this before starting. Edit the text to match your study's requirements.

Thanks for helping out! This is a quick test to see how easy it is to find things on a website.

We're testing how the website is organized, not you. You'll get a series of short scenarios and browse a list of categories to find where that item belongs. There are no wrong answers — we're looking at the website, not your skills.

What we collect: Your responses to any screening questions we ask, which categories you clicked, and whether you found the right spot. We don't collect your name, email, IP address, or anything that identifies you unless a screening question asks for it directly — in which case please only share what you're comfortable with.

How your data is stored: Your responses are saved anonymously and linked only to an internal participant number. You cannot be identified from your responses unless you voluntarily include identifying details in a screening answer.

You can stop anytime. This is completely voluntary. Your anonymous responses may be used in a class research project.

By clicking "I agree" below, you confirm that you are at least 18 years old and are okay with everything described above.

Screener questions

Add demographic or screening questions participants answer before the test. These help you filter and segment your results.

No screener questions yet. Click "Add question" to get started.

Card Sort Setup

Define your card sort

Choose how participants will categorise items, then add the cards they'll be sorting.

Card sort type

Choose how participants will categorise your items.

OP

Open

Participants create their own category names

CL

Closed

You define the categories; participants sort into them

HY

Hybrid

You provide seed categories; participants can rename or add

Define categories

Add the categories participants will sort into. Assign hierarchy levels to define primary vs. secondary groupings.

0 categories added

Content items

These are what participants will sort into groups. Type each item and press Enter.

0 items added

Or import items

Paste a list (one per line or comma-separated), upload a file, or drop a screenshot for AI to extract items from.

Add at least 5 items to continue

Step 2 of 7

Your card sort is ready

AI has built a hybrid card sort activity with your items. Share the link — participants will group items in whatever way makes sense to them.

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Items to sort

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Seed categories

Closed — fixed categories

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Responses so far

Share with participants

We recommend 15–20 responses for reliable clustering. The link stays open until you close it.

Live responses

Collecting

Waiting for first response…

Step 3 of 7

Card sort results

Here's how participants grouped your items. Review the analysis below, then generate your site map.

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Participants

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Agreement score

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Avg. completion

✦ AI Insights Card sort analysis

No responses yet. Summary will appear once participants complete the sort.

Problem areas

Strengths

Item confusion table

Items placed in the most different categories — highest ambiguity first.

Item	# Groups	Top group	2nd group

Top participant category names

Co-sort heatmap

Items frequently sorted together by the same participants.

Co-sort similarity matrix

% of participants who placed each pair in the same group. White = 0%, deep blue = 100%.

✦ AI Insights Card sort analysis

No responses yet. Insights will appear once participants complete the sort.

Step 4 of 7

Proposed site map

AI has clustered your card sort data into a navigation structure. Review and edit any labels, then approve it to generate your tree test.

Import a site map

Paste indented text, upload a CSV, or drop a screenshot.

Indent with 2 spaces (or tabs) per level. JSON tree also accepted.

Site map structure

Click any label to rename. Use "+ child" to nest, × to remove.

Step 5 of 7

Tree test is ready

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Tasks generated

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Branches covered

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Responses so far

Generated tasks

Share with participants

We recommend at least 15 responses for reliable tree test data.

Step 6 of 7

Tree test results

Here's how well participants found items in your navigation. Tasks below 70% success are worth investigating.

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Participants

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Overall success

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Avg. SEQ score / 7

Task success breakdown

■ Found it directly ■ Found it (with backtracking) ■ Didn't find it

Participant responses 0 participants

✓ Direct ~ Indirect ✗ Fail ○ Skip

PID	Timestamp	T1	T2	T3	T4	T5	T6	T7	T8	T9	T10	Score

First-click matrix

Heatmap of where participants first clicked per task. Darker = more clicks. ✓ = correct category.

SEQ scores by task

Mean perceived ease per task (1–7). Dashed line = 5.5 benchmark.

Success x Time matrix

Each dot = one task. Top-left = slow & unsuccessful. Bottom-right = fast & successful.

Time on task

Box = Q1–Q3, centre line = median, whiskers = min/max.

Navigation paths

Tree structure showing paths participants navigated. Thicker lines = more traffic. Red = incorrect path. Green = correct path.

✦ Insights Tree test analysis

Overall assessment

Waiting for responses…

Problem areas

Strengths

Prioritised recommendations

Step 7 of 7 · Iteration 1

AI's suggested improvements

Based on the tree test data, here's what AI recommends changing. Apply what you agree with, then run another round to confirm the improvements.

1

Refinement round · waiting for results

Updated site map

Changes pending

Export study data

Download raw data from each phase for further analysis.

Card sorting & tree testing,without the price tag