QuestionPunkQuestionPunk
Start free
All templates

Shift 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.

Use this templateBrowse more templates

Sample questions

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

13 questions · ~7 min
Q01
Message

Thanks for taking a few minutes for this! We want to understand how your work schedule actually feels week to week — predictability, swaps, fairness, and workload. Your honest answers help us fix real problems. About 5 minutes.

Q02
Opinion ScaleRequired

How predictable is your work schedule week to week?

Scale: 1 – 7
Min:Very unpredictableMax:Very predictable
Q03
Multiple ChoiceRequired

In the last month, how much advance notice did you typically get before a schedule was posted or changed?

  • Same day
  • 1-2 days
  • 3-6 days
  • 1-2 weeks
  • More than 2 weeks
Q04
Rating ScaleRequired

How easy is it to swap a shift or find coverage when you need to?

Range: 1 – 5
Min:Very difficultMax:Very easy
Q05
Multiple Choice

In the last 30 days, how often did a shift-swap or coverage request you made get approved?

  • I didn't request any swaps
  • Never approved
  • Sometimes approved
  • Usually approved
  • Always approved
Q06
MatrixRequired

How much do you agree with each statement about how schedules are handled on your team?

4 rows × 5 columns
  • Schedules are assigned fairly across the team
  • Preferred shifts and days off are distributed equitably
  • Favoritism affects who gets the best shifts
  • Managers explain the reasoning behind schedule changes
Columns: Strongly disagree · Disagree · Neutral · Agree · Strongly agree
Q07
Opinion ScaleRequired

In the last 30 days, how often has your work schedule left you feeling physically or mentally exhausted?

Scale: 1 – 5
Min:NeverMax:Always
Q08
Multiple ChoiceRequired

In the last 30 days, how many times did you work a closing shift followed by an opening shift with less than 11 hours in between?

  • 0 times
  • 1-2 times
  • 3-5 times
  • 6+ times
Q09
Best–Worst Trade-off (MaxDiff)Required

Which of these would do the most, and least, to improve your satisfaction with scheduling?

  • More advance notice of my schedule
  • Easier shift swaps or coverage requests
  • More input on my preferred shifts
  • Fewer back-to-back closing/opening shifts
  • More consistent hours week to week
  • Better communication about schedule changes
  • More say over which days I get off
Pick best & worst per setBest:Most improves my satisfactionWorst:Least improves my satisfaction
Q10
AI Interview

Get the respondent to walk you through one specific, recent scheduling incident — a shift change with little notice, a denied swap, or a clopening stretch — and reconstruct exactly what happened, how they found out, and what it cost them (missed plans, childcare scramble, sleep, etc). If they rated fairness low, probe for a concrete example of favoritism or inconsistency rather than a general complaint. If everything they describe is positive, ask what would have to change for scheduling to become a real problem for them.

Q11
Multiple Choice

Which best describes your usual shift?

  • Morning
  • Afternoon/evening
  • Overnight
  • Rotating/varies
  • Prefer not to say
Q12
Multiple Choice

How long have you worked in this role?

  • Less than 3 months
  • 3-11 months
  • 1-2 years
  • 3+ years
  • Prefer not to say
Q13
Message

That's everything — thank you! Your responses are combined with your team's to spot patterns in predictability, swap access, fairness, and burnout, and to shape changes to how schedules are built.

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

  • Directly measures schedule predictability, advance notice, swap ease, and swap-denial frequency, not just whether a swap form exists
  • Includes explicit early-burnout signals via a clopening-shift frequency question and an exhaustion rating-scale item, which shift-swap forms don't touch
  • Uses a matrix to capture agreement across multiple fairness/handling statements and a best-worst trade-off to prioritize which fixes would most improve satisfaction
  • Features an AI follow-up interview step that gets the respondent to reconstruct one specific recent denied-swap or last-minute-change incident, rather than relying on general sentiment, then rolls everything into an auto-generated team report

Jotform

Burger Restaurant Shift Swap Request Form Template

This is an operational shift-swap request form for a restaurant setting, not a satisfaction or sentiment survey — its job is to route a swap request, not to measure predictability, fairness, or burnout. It's ready to field as-is but scoped narrowly to one industry vertical and one transaction type.

What it does well

  • Quick to deploy as a fillable, mobile-friendly request form
  • Drag-and-drop customization typical of Jotform's template library
  • Industry-specific starting point (food service) that's easy to relabel

Where it falls short

  • Captures a swap request, not satisfaction, fairness, or burnout signals — no predictability, exhaustion, or clopening measurement
  • Static form fields only — no adaptive AI follow-up to reconstruct an incident in detail
  • No per-response quality scoring or automated analytical report generation

SurveySparrow

Employee Shift Swap Form Template

Another operational shift-swap request template, delivered in SurveySparrow's conversational form style, aimed at logging and processing swap requests rather than gauging how employees feel about scheduling fairness or burnout. Fielding-ready for the swap workflow itself, not for satisfaction research.

What it does well

  • Conversational, chat-like form UI that may feel less clunky to hourly staff filling it out on mobile
  • Built for a general employee audience rather than one narrow vertical
  • Simple to set up as a recurring operational request tool

Where it falls short

  • No questions on schedule predictability, swap-denial rates, fairness perception, or physical exhaustion — it only logs the swap request itself
  • No adaptive AI probing to reconstruct a specific denied-swap or last-minute-change incident
  • No transparent scoring methodology or automated survey-level report output

Ready to launch?

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

Use this templateStart free