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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.

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Sample questions

A preview of what’s in the template. Every question is editable before you launch.

12 questions · ~7 min
Q01
Message

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. About 5 minutes.

Q02
Multiple ChoiceRequired

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
Opinion ScaleRequired

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

Scale: 0 – 10
Min:NeverMax:Multiple times a day
Q04
MatrixRequired

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

5 rows × 5 columns
  • 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
Columns: Very poor · Poor · Okay · Good · Very good
Q05
Multiple ChoiceRequired

In the last 30 days, how often did you accidentally work from an outdated drawing or document version?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

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

Range: 1 – 5
Min:Very difficultMax:Very easy
Q07
Point Allocation

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
Allocate 100 points
Q08
Best–Worst Trade-off (MaxDiff)Required

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
Pick best & worst per setBest:Most helpfulWorst:Least helpful
Q09
AI Interview

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
Multiple Choice

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
Multiple Choice

How many people work at your company?

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

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.

What’s included

  • AI follow-ups

    Adaptive probes on open-ended answers that pull out detail a static form would miss.

  • Attention checks

    Built-in safeguards against rushed answers and low-quality respondents.

  • AI-drafted copy

    Wording, ordering, and branching written by the AI — tuned to your research goal.

  • Auto report

    Themes, quotes, and a plain-English summary write themselves once responses come in.

How it compares

We reviewed the closest templates from other survey tools. Here’s what they do well — and where this template goes further.

Why this template

  • 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.

What it does well

  • 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

Where it falls short

  • 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

Ready to launch?

Open this template in the editor. Every part is yours to change before the first respondent sees it.

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