Q01
메시지
모든 템플릿
Workplace Sleep Deprivation & Fatigue Risk Survey
Assesses how much sleep loss is affecting your workforce's alertness, mood, and safety on the job — built for HR, EHS, and shift-operations teams. An AI follow-up interview digs into the real story behind a recent fatigue-related close call or bad day, surfacing root causes that a checklist alone would miss.
샘플 질문
템플릿에 포함된 내용을 미리 확인해 보세요. 모든 질문은 설문 공개 전에 자유롭게 수정할 수 있습니다.
질문 15개 · 약 8분
Q02
숫자필수
On average, how many hours of sleep have you gotten per night over the past 30 days?
Q03
객관식필수
In the past 7 nights, on how many nights did you get less than 6 hours of sleep?
- 0 nights
- 1-2 nights
- 3-4 nights
- 5-6 nights
- 7 nights
Q04
매트릭스필수
In the past month, how often did you experience each of the following?
5개 행 × 5개 열
- Trouble falling asleep
- Waking up during the night and struggling to fall back asleep
- Waking up feeling unrested even after a full night in bed
- Using caffeine or energy drinks to stay alert during your shift
- Feeling drowsy while doing safety-sensitive tasks (driving, operating equipment, etc.)
열: Never · Rarely · Sometimes · Often · Always
Q05
객관식필수
What is the single biggest reason you don't get enough sleep on workdays?
- Work schedule or shift timing
- Long or unpredictable hours / overtime
- Stress or worry about work
- Caregiving responsibilities at home
- Screen time or trouble winding down
- A health condition (pain, apnea, etc.)
Q06
평점 척도필수
How manageable is your current work schedule for getting adequate sleep?
범위: 1 – 5
최소:Not manageable at all최대:Very manageable
Q07
슬라이더 매트릭스필수
Thinking about days when you're running short on sleep, how much does it affect each of the following?
4개 행, 각 행마다 슬라이더 1개
- Concentration and focus
- Mood or irritability
- Physical safety on the job
- Overall productivity
슬라이더 0–10최소:No effect최대:Severe effect
Q08
객관식필수
In the past 6 months, have you had a near-miss, error, or safety incident that you'd attribute at least partly to being tired or drowsy?
- Yes
- No
- Not sure
Q09
의견 척도필수
Overall, how well-rested do you typically feel when you start your workday?
척도: 1 – 7
최소:Completely exhausted최대:Fully rested
Q10
AI 인터뷰
Reconstruct one specific recent day when the respondent felt notably tired or drowsy at work: what caused the sleep loss the night before, how the fatigue showed up during the shift (mistakes, slowed reactions, mood, near-misses), and what they or their team did about it in the moment. If they reported a near-miss or safety incident tied to drowsiness, get concrete details on what happened and whether it was reported. If they say fatigue rarely affects them, probe what specifically helps them recover sleep despite a demanding schedule.
Q11
메시지
Almost done — just a couple of background questions to help us compare results across teams and shifts.
Q12
객관식
Which best describes your typical work schedule?
- Regular daytime hours
- Evening shift
- Night shift
- Rotating or on-call shift
- Prefer not to say
Q13
객관식
What is your age range?
- Under 25
- 25-34
- 35-44
- 45-54
- 55-64
- 65 or older
- Prefer not to say
Q14
객관식
What is your gender?
- Woman
- Man
- Non-binary
- Prefer to self-describe
- Prefer not to say
Q15
메시지
Thank you for sharing this with us. Your responses will be combined with your team's (never shared individually with managers) to guide scheduling changes and fatigue-risk programs.
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
- Goes beyond a static questionnaire with an AI follow-up interview that reconstructs one specific recent day the respondent felt dangerously tired, surfacing root causes a checklist can't reach.
- Combines quantitative core questions (average sleep hours, nights under 6 hours, a matrix of fatigue symptoms, and a slider matrix on how sleep loss affects specific job tasks) with that qualitative deep-dive, so you get both prevalence data and the real story.
- Directly ties fatigue to safety outcomes with a dedicated near-miss/error/incident question, plus schedule and demographic questions at the end for benchmarking across teams and shifts.
- Built for HR/EHS/shift-ops workflows with automated per-response quality scoring and auto-generated reports, so results are usable without manual coding of open-ended answers.
Jotform
Sleep Deprivation Survey Form TemplateA fielding-ready static form template covering general sleep deprivation topics rather than a workplace-fatigue-and-safety specific instrument. It's easy to customize and embed within Jotform's broader form ecosystem, but the questions are fixed once deployed.
잘하는 점
- Simple drag-and-drop customization
- Large existing template library and integrations
- Straightforward embedding/distribution via Jotform's form platform
아쉬운 점
- No adaptive AI follow-up interview to probe specific fatigue incidents
- No voice AI interview option
- No automated per-response quality scoring or narrative report generation
QuestionPro
Sleep Deprivation Survey + Sample Questionnaire TemplateA sample questionnaire aimed at general sleep deprivation research, presented as a fixed-question template with typical survey-platform analytics behind it. It's positioned more broadly (research/health) than as a workplace safety/EHS-specific fatigue risk tool.
잘하는 점
- Established survey research platform with mature analytics/reporting
- Sample questionnaire structure to start from
- Supports standard branching/logic for a fixed question set
아쉬운 점
- No adaptive AI interview that digs into a specific fatigue-related incident
- No transparent prompt-level methodology disclosed
- No built-in automated quality scoring of open-text responses
SurveySparrow
Sleep Deprivation Survey TemplateA conversational-style survey template filed under healthcare, giving a chat-like feel similar to QuestionPunk's interface but with pre-set questions rather than true AI-driven follow-up. It's a ready-to-field template, useful for quick deployment but not tailored to shift-work/safety incident investigation.
잘하는 점
- Conversational chat-style UI that feels approachable to respondents
- Mobile-friendly template delivery
- Part of a broader healthcare template category
아쉬운 점
- Fixed conversational flow, not adaptive AI probing of individual incidents
- No voice AI interview capability
- No automated report generation tying fatigue to safety/root-cause analysis
설문을 공개할 준비가 되셨나요?
이 템플릿을 편집기에서 열어 보세요. 첫 응답자가 보기 전에 모든 부분을 원하는 대로 바꿀 수 있습니다.