모든 템플릿

First-Click Test: Findability & Visual Priority

Where do people click first when given a task on your design? First-click success is one of the strongest predictors of task completion. Upload your screenshot, set the task, and let the AI interviewer ask what they expected to happen — turning a click map into a usability diagnosis.

샘플 질문

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

질문 6개 · 약 5분
Q01
메시지

You'll see a design and a task. Click the ONE place you would go first to complete the task — trust your instinct, don't hunt around. Afterwards we'll ask what you expected to happen.

Q02
질문필수

Imagine you want to get started with this product. Click where you would go first.

Q03
의견 척도필수

How confident are you that the spot you clicked would get you where you wanted to go?

척도: 15
최소:Just guessing최대:Completely confident
Q04
단문형필수

In a few words, what did you expect to happen after your click?

Q05
AI 인터뷰

Probe the participant's expectations: what they were scanning for before they clicked, which other elements they considered and rejected, what the element they clicked communicated to them, and what they would do next if the click didn't lead where they expected. If their confidence was low, explore what was missing from the design.

Q06
메시지

Thanks! First clicks plus the reasoning behind them tell us exactly where the design guides people well — and where it sends them astray.

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

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이 템플릿을 선택하는 이유

  • Every click comes with a confidence rating, the participant's expectation in their own words, and an AI reconstruction of what they scanned and rejected
  • Turns a click map into a diagnosis: you learn what the clicked element promised, not just where the pixel was
  • Chain it with screeners and follow-up questions in the same study instead of a separate testing tool

Optimal Workshop

First Click Testing: Pinpoint Usability Issues Fast

Optimal Workshop's Chalkmark lets you upload a design (including Figma import), set a task, and measure where users click first plus time-to-click, visualized as heatmaps. It is a mature, enterprise-used tool for validating navigation early, but it is a paid platform focused on click coordinates rather than capturing why users clicked where they did.

잘하는 점

  • Direct Figma import to test real designs with minimal setup
  • Captures first-click location and time-to-click as quantitative metrics
  • Generates click heatmaps to visualize where attention lands across the screen
  • Spans many surfaces: navigation, forms, landing pages, dashboards, e-commerce, and mobile

아쉬운 점

  • Records where users click but no AI follow-up asking why they expected the target there
  • No voice or think-aloud capture accompanying the click
  • Output is heatmaps and metrics for a researcher to read, not an auto-written insights report
  • Paid enterprise platform rather than a free, self-serve template

Maze

18 Best Usability Testing Tools (Maze first-click testing and heatmaps)

Maze bundles first-click testing with path flows and heatmaps inside its unmoderated usability platform, tracking task success, drop-off, and time on task alongside where people click. It is strong for combining click testing with broader task-based usability in one study, though this reference is a capabilities guide rather than a single dedicated first-click template page.

잘하는 점

  • Combines first-click testing with path flows and heatmaps in one unmoderated study
  • Tracks task success, drop-off, and time-on-task alongside click location
  • Sits inside a broader usability platform so first-click can be one step in a larger flow
  • Heatmaps show both where people click and how attention distributes across the UI

아쉬운 점

  • First-click data is behavioral only; no adaptive AI probe on the participant's reasoning
  • No voice-interview layer to capture think-aloud during the click task
  • Metrics are surfaced for interpretation rather than composed into a written narrative report
  • Requires assembling the test in the platform; no plain-language auto-setup described

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