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Overtime Request Process Experience Survey

Measures how easy, fair, and well-communicated your overtime request process feels to hourly and shift-based staff — covering submission method, approval speed, and perceived fairness in who gets picked. An AI follow-up interview reconstructs exactly what happened the last time someone's request was approved or denied, surfacing friction points a satisfaction score alone would miss.

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샘플 질문

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질문 14개 · 약 7분
Q01
메시지

Thanks for taking a few minutes to share your experience with requesting overtime. Your responses are completely confidential and anonymized. Your honest answers help us fix a process that affects your paycheck and schedule directly. About 8 minutes.

Q02
객관식필수

In the last 3 months, how often have you requested overtime?

  • Never
  • Once or twice
  • Roughly monthly
  • Weekly or more
Q03
객관식필수

What was the primary reason for your most recent overtime request?

  • Workload backlog
  • Short-staffed shift coverage
  • Project or deadline crunch
  • Wanted extra income
Q04
객관식필수

How did you submit that request?

  • Scheduling app or software
  • Paper form
  • Verbal request to supervisor
  • Email or text message
Q05
의견 척도필수

How easy or difficult was it to submit that overtime request?

척도: 1 – 5
최소:Very difficult최대:Very easy
Q06
평점 척도필수

How satisfied are you with how quickly your overtime requests get approved or denied?

범위: 1 – 5
최소:Not satisfied최대:Very satisfied
Q07
매트릭스필수

Thinking about how overtime works where you work, how much do you agree with each statement?

4개 행 × 5개 열
  • The overtime policy is clearly explained
  • Overtime is distributed fairly among coworkers
  • My manager responds to requests within a reasonable time
  • I get paid correctly for the overtime I've worked
열: Strongly disagree · Disagree · Neutral · Agree · Strongly agree
Q08
객관식

Has an overtime request you submitted ever been denied?

  • Yes
  • No
  • Not sure / can't recall
Q09
최선·최악 선택형(MaxDiff)필수

Which of these changes would most improve the overtime request process for you?

  • Faster approval or denial turnaround
  • Clearer rules on who gets picked
  • More advance notice of available overtime
  • Easier way to submit requests (app or self-service)
  • A fair, visible rotation system
  • More accurate overtime pay
  • More advance notice before a shift is cancelled
세트별 최선·최악 선택최선:Would help most최악:Would help least
Q10
AI 인터뷰

Reconstruct exactly what happened the last time this person requested overtime: how they submitted it, how long they waited, and whether it was approved or denied. If it was denied or delayed, probe what reason (if any) they were given and whether it felt consistent with how coworkers are treated. If they mentioned unfairness in the earlier ratings, anchor on a specific recent instance rather than a general impression.

Q11
단문형

What's one thing that would make the overtime request process better for you?

Q12
객관식

What is your employment type?

  • Full-time
  • Part-time
  • Contract / temporary
Q13
단문형

What department or role are you in? (Optional — helps us spot team-specific issues)

Q14
메시지

That's everything — thank you! Your answers, along with everyone else's, go into a report used to make overtime requests faster and fairer for the whole team.

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

  • Uses an AI follow-up interview to reconstruct exactly what happened the last time a specific overtime request was approved or denied, surfacing friction a satisfaction score alone misses
  • Combines quantitative measures (opinion scale on submission ease, rating on approval speed, matrix on fairness perceptions, max-diff on prioritized fixes) with qualitative depth
  • Captures context like submission method, denial history, employment type, and department so results can be segmented by team
  • Ends with a transparent close explaining that individual answers feed into an aggregate report, and the platform publishes its AI prompts rather than treating scoring as a black box

Jotform

Overtime Request Form Template

This is a static overtime request/approval form (built for submitting and routing a request), not a survey measuring how employees experience the process. It's a ready-to-use, easily customizable form via Jotform's drag-and-drop builder, but it doesn't collect satisfaction, fairness, or friction data at all.

잘하는 점

  • Fast to deploy as a transactional form for actually requesting overtime
  • Highly customizable fields and layout via Jotform's form builder
  • Familiar, low-friction format for employees who just need to submit a request

아쉬운 점

  • Designed for request submission/approval workflow, not for measuring perceived fairness or communication quality
  • No adaptive follow-up questioning — fixed static fields only
  • No mechanism to reconstruct a specific past experience or surface denial-related friction

SurveySparrow

Overtime Request Form Template

A conversational-style form template for submitting overtime requests, closer to a data-capture form than an employee-experience survey. It benefits from SurveySparrow's chat-like UI but is not built to probe approval speed, fairness perceptions, or denial history in depth.

잘하는 점

  • Conversational, chat-style UI that feels friendlier than a plain form
  • Mobile-friendly and quick for employees to fill out
  • Part of a broader survey platform with basic reporting

아쉬운 점

  • No adaptive AI interview to reconstruct what actually happened on a specific request
  • Fixed question set with no per-response quality scoring
  • Not designed to measure fairness in who gets picked for overtime, only to log a request

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