모든 템플릿

Construction Project Extranet Usability Survey

Measures how project teams actually use their construction project extranet for document control, RFIs, and drawing markup, and where version confusion or slow approvals cost time. An AI follow-up interview reconstructs a specific recent incident to surface the real workflow friction behind the ratings.

샘플 질문

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

질문 12개 · 약 7분
Q01
메시지

Thanks for taking a few minutes to share feedback on the project extranet (document/collaboration platform) used on your projects. This helps us improve how drawings, RFIs, and approvals flow between teams. Your responses are completely confidential and anonymized. About 5 minutes.

Q02
객관식필수

Which project extranet or document management platform do you use most on active projects?

  • (Replace with Platform A, e.g. Asite)
  • (Replace with Platform B, e.g. Procore)
  • (Replace with Platform C, e.g. Autodesk Build)
  • Shared drive / email only
  • Other
Q03
의견 척도필수

In the last 30 days, how often did you log into the project extranet to check drawings, RFIs, or approvals?

척도: 010
최소:Never최대:Multiple times a day
Q04
매트릭스필수

Rate how well the platform supports each of these tasks on your current project.

5개 행 × 5개 열
  • Finding the latest drawing revision
  • Tracking RFI status and responses
  • Markup and comment threads on drawings
  • Notifications for changes that affect your work
  • Uploading and sharing site photos or field reports
: Very poor · Poor · Okay · Good · Very good
Q05
객관식필수

In the last 30 days, how often did you accidentally work from an outdated drawing or document version?

  • Never
  • Once
  • A few times
  • Frequently
Q06
평점 척도필수

How easy is it to find the current approved drawing set when you need it?

범위: 15
최소:Very difficult최대:Very easy
Q07
점수 배분

Thinking about a typical week, how do the minutes you spend on the extranet split across these activities? Allocate 100 points total.

  • Searching for documents or drawings
  • Submitting or responding to RFIs
  • Reviewing markups and comments
  • Uploading photos or field reports
  • Chasing approvals or sign-offs
100점 배분
Q08
최선·최악 선택형(MaxDiff)필수

Which of these improvements would help your work most, and which would help least?

  • Faster search for the latest drawing
  • Clearer notification of what changed and why
  • Simpler RFI submission process
  • Better mobile / offline access on site
  • Fewer duplicate or conflicting file versions
  • Easier markup and annotation tools
  • Faster page load and upload speed
세트별 최선·최악 선택최선:Most helpful최악:Least helpful
Q09
AI 인터뷰

Ask the respondent to walk through the most recent time the project extranet caused confusion or delay (e.g., wrong drawing revision, missed notification, slow approval) — what happened, how it was caught, and how much time or rework it cost. Anchor on their rating of finding the latest drawing revision; if they rated it poorly, probe exactly where the process breaks down. If they report no issues, probe what specifically about the setup makes it work well for their trade or role.

Q10
객관식

What is your primary role on projects?

  • Project manager
  • Site supervisor / foreman
  • Design / engineering
  • Subcontractor trade
  • Owner's representative
  • Admin / document controller
  • Other
  • Prefer not to say
Q11
객관식

How many people work at your company?

  • Fewer than 20
  • 20-99
  • 100-499
  • 500 or more
  • Prefer not to say
Q12
메시지

That wraps up the survey — thank you! Your answers will be combined with your team's to guide changes to how we manage drawings, RFIs, and approvals on the project extranet.

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

  • Includes a dedicated AI follow-up interview that asks respondents to walk through the most recent time the extranet caused a specific problem, reconstructing the actual incident rather than relying on generic ratings
  • Combines quantitative measures (opinion scale on login frequency, matrix on task support, rating on finding approved drawings, constant sum on time allocation, max-diff on improvement priorities) with qualitative depth on version confusion and approval delays
  • Captures role and company size context alongside platform usage, so friction points can be segmented by who is experiencing them
  • Automated per-response quality scoring and an auto-generated report mean the incident narratives get structured analysis without manual coding

QuestionPro

Project Extranets in the Construction Industry Survey + Sample Questionnaire Template

This is the most directly comparable template, covering the same core subject: how construction teams use project extranets for documents and drawings. It appears to be a static questionnaire rather than an adaptive interview, focused on structured rating and multiple-choice items. Useful as a benchmark for question coverage but likely doesn't probe into a specific recent incident the way an AI-driven follow-up would.

잘하는 점

  • Purpose-built for the construction project extranet use case, so question framing is likely industry-specific
  • Packaged as a ready sample questionnaire, making it easy to adopt or adapt quickly
  • Backed by a long-established survey platform with broad distribution and analysis tooling

아쉬운 점

  • No adaptive AI follow-up to reconstruct a specific incident behind a low rating — respondents answer fixed items with no probing for root cause
  • No indication of voice AI interviews or guided screen-share tasks for observing actual drawing markup or RFI workflows
  • No published per-response quality scoring or transparent prompt methodology, so it's unclear how open-ended answers are validated

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