Construction Safety Wearables Adoption & Impact Survey
Measures adoption rates, usability barriers, perceived safety outcomes, and data trust related to IoT wearables and site sensors among construction workers. Designed for safety managers and operations teams evaluating wearable technology programs on active job sites.
Sample questions
A preview of what’s in the template. Every question is editable before you launch.
Which of the following wearables or site sensors have you seen in use on your current site in the past 3 months? Select all that apply.
- Smart helmets or helmet-mounted sensors
- Smart vests or harness sensors
- Proximity alert tags (worker-to-equipment or worker-to-worker)
- Environmental stations (air quality, dust, noise)
- Equipment telematics or vehicle proximity sensors
- Worker location badges or beacons
- Heat stress or exertion monitors
- Fall detection devices
- Fatigue monitoring wearables or cameras
- None of these
How clear was the training or briefing you received on using wearables or sensors on your site?
Approximately how many safety alerts did you personally receive from wearables or sensors in the last 30 days?
- 0 (none)
- 1–5
- 6–15
- 16–30
- More than 30
Overall, how have wearables and sensors affected safety on your site in the last 3 months?
As far as you know, who can view the data collected by your wearable or sensor? Select all that apply.
- Only me
- My direct supervisor
- The safety team only
- My employer broadly
- The device vendor or manufacturer
- Not sure
- Not applicable — I do not use a wearable or sensor
Based on your experience, what one change would most improve the usefulness of wearables or site sensors for you?
The following questions help us understand how different groups experience this technology.
Thank you for completing this survey! Your feedback will directly inform efforts to improve on-site safety technology. If you have questions about this research, please contact your site safety office.
In the last 30 days, how often did you personally wear or carry a safety wearable while on shift?
How manageable is the routine upkeep (charging, battery swaps, cleaning) of these devices during a typical work week?
When you received an alert, what did you typically do? Select all that apply.
- Paused and checked for hazards
- Moved to a safer area
- Informed a supervisor or spotter
- Adjusted tool or equipment setup
- Ignored it because it seemed like a false alarm
- Logged or reported it in an app or form
- Other (please specify)
How have wearables or sensors affected your awareness of hazards on site in the last 3 months?
How acceptable do you find the collection of wearable or sensor data on site for safety purposes?
Thank you for sharing your thoughts. We'd like to explore a couple of your responses in a bit more depth. An AI moderator will ask you up to 2 brief follow-up questions.
What is your primary role on site?
- Foreperson or lead
- Equipment operator
- Skilled tradesperson
- General laborer
- Safety professional
- Site manager or superintendent
- Engineer or technician
- Other (please specify)
How often do you receive alerts from these devices that turn out to be false or unnecessary?
How have wearables or sensors affected the frequency of near-misses or safety incidents on your site in the last 3 months?
Which data outputs from wearables or sensors are most useful to you personally? Select all that apply.
- Real-time alerts on hazards
- Vibration or haptic feedback
- On-device lights or beeps
- End-of-shift summary
- Weekly trend report
- Heat or exertion warnings
- Location-based danger zone alerts
- Exposure dose dashboards
- None of these
How many years have you worked in construction?
- Less than 1 year
- 1–3 years
- 4–7 years
- 8–15 years
- 16–25 years
- More than 25 years
How have wearables or sensors affected how quickly your team responds to safety events on site in the last 3 months?
What is your primary trade or work area?
- Earthmoving / Civil
- Concrete
- Steel / Structure
- Electrical
- Mechanical / HVAC
- Plumbing
- Carpentry
- Finishing / Interiors
- Roadway / Paving
- Mining / Quarry
- Other / Varied
Rank the following barriers to consistent wearable or sensor use on your site from biggest to smallest.
- Comfort or fit
- Battery life or charging
- Connectivity or signal coverage
- Privacy or data concerns
- Slows work or adds steps
- Device durability in harsh conditions
What type of project do you mainly work on?
- Building (vertical)
- Civil / Infrastructure
- Industrial
- Energy / Utilities
- Residential
- Other
Which best describes your employment arrangement?
- Employee of general contractor
- Employee of subcontractor
- Owner / Operator
- Temporary / Agency worker
- Other
- Prefer not to say
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 an AI follow-up interview that probes worker responses in depth, something no static form can replicate
- Combines quantitative usage metrics (alert frequency, wear frequency, training clarity) with qualitative open-text and ranking questions on adoption barriers
- Explicitly measures data trust and perceived surveillance concerns (who can view wearable data, acceptability of collection) alongside safety outcome perceptions
- Segments results by role, trade, tenure, project type, and employment arrangement for cross-group analysis, with an auto-generated report at the end
SurveySparrow
Health & Site Safety Checklist Template | OHS ChecklistThis is a general on-site occupational health and safety checklist rather than a survey focused on wearable technology adoption or worker sentiment. It's fielding-ready for basic compliance/inspection checks but doesn't address wearables, sensors, or data trust topics at all. Useful as a broad OHS audit tool, not as a comparable adoption-impact instrument.
What it does well
- Ready-to-use checklist format for general on-site safety compliance
- Likely quick to deploy for routine inspections
- Familiar checklist UX for site supervisors doing recurring audits
Where it falls short
- No content addressing wearable or sensor technology adoption, usability, or trust
- Static checklist format with no adaptive follow-up questioning to explore individual worker experiences
- No transparent methodology or per-response quality scoring for open-ended feedback
Ready to launch?
Open this template in the editor. Every part is yours to change before the first respondent sees it.
Related templates
More studies from the same category.
Internal Tools & Workflow Usability Assessment
Measures employee-perceived usability, reliability, and efficiency of internal tools and workflows. Use with cross-functional teams to identify friction points and prioritize improvements.
View templateNew Vendor Request Justification Survey
For employees requesting to onboard a new vendor or supplier. Captures the business need, estimated spend, urgency, risk factors, and alternatives already considered so procurement and operations teams can triage requests quickly. The AI follow-up interview probes why existing approved vendors won't meet the need and surfaces risk details a form alone would miss.
View templateMeeting Preparation Habits & Readiness Survey
Measures how thoroughly people prepare for meetings they lead and attend — agendas, objectives, materials, and roles — and where preparation habits break down. An AI follow-up interview reconstructs a specific under-prepared meeting to surface the real friction behind missed prep steps, for operations teams trying to improve meeting quality.
View templateMeeting Effectiveness and Planning Survey
Measures how well meetings are planned, run, and followed up on — cadence, agenda discipline, and the biggest time-wasters — for teams and ops leaders auditing their meeting culture. An AI follow-up interview reconstructs a recent unproductive meeting to surface the specific root cause behind the numbers.
View templateVendor Contact & Responsiveness Experience Survey
Captures how easy and effective it is for internal teams to reach and work with a vendor's point of contact — responsiveness, accuracy of contact info, and follow-through. An AI follow-up digs into the most recent real interaction to surface what actually happened when things went well or went wrong, beyond the rating.
View templateShift Scheduling Satisfaction Survey for Hourly Teams
Measures how predictable, swappable, and fair hourly employees find their work schedules, plus early burnout signals like clopening shifts and exhaustion. Includes an AI follow-up that reconstructs a specific recent scheduling incident — a denied swap or a last-minute change — instead of relying on general impressions.
View template