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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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Sample questions

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

14 questions · ~7 min
Q01
Message

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

Q02
Multiple ChoiceRequired

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

  • Never
  • Once or twice
  • Roughly monthly
  • Weekly or more
Q03
Multiple ChoiceRequired

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
Multiple ChoiceRequired

How did you submit that request?

  • Scheduling app or software
  • Paper form
  • Verbal request to supervisor
  • Email or text message
Q05
Opinion ScaleRequired

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

Scale: 1 – 5
Min:Very difficultMax:Very easy
Q06
Rating ScaleRequired

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

Range: 1 – 5
Min:Not satisfiedMax:Very satisfied
Q07
MatrixRequired

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

4 rows × 5 columns
  • 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
Columns: Strongly disagree · Disagree · Neutral · Agree · Strongly agree
Q08
Multiple Choice

Has an overtime request you submitted ever been denied?

  • Yes
  • No
  • Not sure / can't recall
Q09
Best–Worst Trade-off (MaxDiff)Required

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
Pick best & worst per setBest:Would help mostWorst:Would help least
Q10
AI Interview

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
Short Text

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

Q12
Multiple Choice

What is your employment type?

  • Full-time
  • Part-time
  • Contract / temporary
Q13
Short Text

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

Q14
Message

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.

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

  • 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.

What it does well

  • 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

Where it falls short

  • 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.

What it does well

  • 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

Where it falls short

  • 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

Ready to launch?

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