Product & UX

Card Sort: Information Architecture Study

An open-ended card sorting study for navigation and information architecture: participants group your content into categories that make sense to them, then an AI interviewer probes the logic behind their groupings — the part a drag-and-drop grid alone never captures.

このテンプレートを使うほかのテンプレートを見る

設問の例

テンプレートの内容をプレビューできます。すべての設問は公開前に自由に編集できます。

全6問・約5分

Q01

メッセージ

We're redesigning how our product is organized, and you can help by sorting some cards. Your responses are completely confidential and anonymized. Group the items the way YOU would expect to find them — there are no wrong answers, and your first instinct is usually the most useful one.

Q02

選択式必須

How familiar are you with our product?

I use it regularly
I've used it a few times
I've seen it but never used it
Never heard of it before today

Q03

設問必須

Sort these items into the groups where you would expect to find them. Rename the groups if our labels don't match how you think about them.

Q04

オピニオンスケール必須

How easy was it to decide where each item belonged?

スケール: 1 – 5

最小:Very hard — lots of items could go anywhere最大:Very easy — obvious homes for everything

Q05

AIインタビュー

Explore the participant's mental model: which cards were hardest to place and why, which two groups felt like they overlapped, what they would name the groups in their own words, and where they would look FIRST for the items they hesitated on. Surface vocabulary mismatches between our labels and their language.

Q06

メッセージ

That's it — thank you! Your groupings and reasoning will shape a navigation people don't have to think about.

含まれる機能

AIによる深掘り
自由回答に合わせてAIが追加で質問し、固定のフォームでは拾えない具体的な内容を引き出します。
注意確認設問
急いだ回答や質の低い回答者を除外する仕組みを標準で備えています。
AIが作成する設問文
文言、設問の順序、条件分岐をAIが調査の目的に合わせて作成します。
自動レポート
回答が集まると、テーマ、引用、わかりやすい要約が自動で作成されます。

他ツールとの比較

ほかのアンケートツールで最も近いテンプレートを調べました。それぞれの優れている点と、このテンプレートがさらに踏み込んでいる点をまとめています。

このテンプレートを選ぶ理由

The AI debrief captures each participant's mental model — the hardest cards, overlapping groups, and their own labels — not just the grouping matrix
A built-in label-clarity rating flags when your category names, not your structure, are the problem
Runs inside your survey platform alongside screeners and follow-ups — no separate IA tool subscription
Familiarity screening included, so you can compare novice and expert mental models

Maze

Card Sorting Test Template

A ready-to-run closed card sort template with sample cards and categories (Products, Real Estate, Services, Jobs, Community), a full flow of welcome screen, sort task, branching follow-ups, and thank-you screen. It surfaces agreement rates, a similarity matrix, and an agreement matrix instantly, plus participant-count and best-practice guidance, making it genuinely fieldable out of the box.

優れている点

Complete pre-built flow: welcome screen, interactive sort, yes/no branching follow-ups, open-ended confusion probe, and thank-you screen
Instant analysis via agreement rates, similarity matrix, and agreement matrix without manual computation
Ships sample cards and categories so a researcher can adapt rather than start blank
Concrete methodology guidance: 20-30 participants, dry runs, follow-up interviews, analyze patterns before details

物足りない点

Follow-up questions are fixed yes/no or open-ended prompts, not adaptive AI probes that react to how a specific participant grouped cards
No voice-interview mode to hear participants narrate their mental model while sorting
Prompts and scoring logic are not exposed transparently to the researcher
Analysis surfaces matrices but no auto-written narrative interpreting why categories confused users

Optimal Workshop

Card Sorting Tool for UX, IA & Content Design

The industry-standard card-sorting product (OptimalSort) supporting open, closed, and hybrid sorts with dendrograms, similarity matrices, and session replay to watch where participants hesitate. It emphasizes automated pattern surfacing and integrates with the broader IA suite, but is a full paid platform rather than a free template.

優れている点

Supports open, closed, and hybrid sorts in one tool
Deep analysis outputs: dendrograms, similarity matrices, and automated surfacing of agreement and confusion
Session replay lets researchers see where participants hesitate, adding qualitative depth to the quantitative sort
Integrated recruitment (own users, global panel, or managed) and ties into the wider IA/usability platform

物足りない点

Session replay shows hesitation but there is no AI that asks the participant why in the moment
No voice interview capturing participants thinking aloud as structured data
Analytics are presented as dendrograms and matrices for expert interpretation, not an auto-generated plain-language report
Full-platform pricing rather than a free, immediately-usable template

UserTesting

Card Sorting | UX Method | Card Sort Test Template

An unmoderated card-sort template framed for fast, low-budget IA work during early design or redesign, offering open, closed, and hybrid types. It emphasizes learning how users conceptualize and label content and chains into related templates, but the page is lighter on concrete sample cards and built-in analysis specifics than Maze or Optimal Workshop.

優れている点

Positions card sorting as fast, unmoderated, and budget-friendly for early-phase or redesign work
Offers all three sort types (open, closed, hybrid)
Frames clear learning outcomes: discoverability, labeling difficulty, and how users conceptualize ideas
Suggests a research sequence by chaining into complementary templates (competitive comparison, customer journey)

物足りない点

No adaptive AI follow-up tailored to each participant's grouping choices
No voice narration captured as analyzable data during the sort
Page does not expose concrete sample cards or the analysis visualizations, so methodology transparency is limited
No auto-generated interpretive report described

よくあるご質問