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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.

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샘플 질문

템플릿에 포함된 내용을 미리 확인해 보세요. 모든 질문은 설문 공개 전에 자유롭게 수정할 수 있습니다.

질문 6개 · 약 5분
Q01
메시지

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
객관식필수

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
질문필수

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
의견 척도필수

How easy was it to decide where each item belonged?

척도: 1 – 5
최소:Very hard — lots of items could go anywhere최대:Very easy — obvious homes for everything
Q05
AI 인터뷰

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
메시지

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

포함된 기능

  • AI 후속 질문

    정형화된 설문이 놓치는 세부 내용을, 주관식 답변에 맞춰 AI가 심층 질문으로 끌어냅니다.

  • 주의력 확인 장치

    성의 없는 답변과 저품질 응답자를 걸러내는 내장 안전장치입니다.

  • AI가 작성한 문안

    문구, 질문 순서, 분기 로직까지 AI가 연구 목표에 맞춰 작성합니다.

  • 자동 리포트

    응답이 모이면 주요 주제, 인용문, 이해하기 쉬운 요약이 자동으로 작성됩니다.

다른 서비스와 비교

다른 설문 도구의 가장 유사한 템플릿을 검토했습니다. 그 도구들이 잘하는 점과, 이 템플릿이 한발 더 나아가는 지점을 정리했습니다.

이 템플릿을 선택하는 이유

  • 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.

잘하는 점

  • 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

아쉬운 점

  • 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.

잘하는 점

  • 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

아쉬운 점

  • 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.

잘하는 점

  • 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)

아쉬운 점

  • 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

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