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Employee & HR

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.

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設問の例

テンプレートの内容をプレビューできます。すべての設問は公開前に自由に編集できます。

全13問・約7分
Q01
メッセージ

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 responses are completely confidential and anonymized. Your honest answers help us fix real problems. About 5 minutes.

Q02
オピニオンスケール必須

How predictable is your work schedule week to week?

スケール: 1 – 7
最小:Very unpredictable最大:Very predictable
Q03
選択式必須

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
評価スケール必須

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

範囲: 1 – 5
最小:Very difficult最大:Very easy
Q05
選択式

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
マトリクス必須

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

4行 × 5列
  • 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
列: Strongly disagree · Disagree · Neutral · Agree · Strongly agree
Q07
オピニオンスケール必須

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

スケール: 1 – 5
最小:Never最大:Always
Q08
選択式必須

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
ベスト・ワースト選択（MaxDiff）必須

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
各セットで最も良いもの・最も悪いものを選択最も良い:Most improves my satisfaction最も悪い:Least improves my satisfaction
Q10
AIインタビュー

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
選択式

Which best describes your usual shift?

  • Morning
  • Afternoon/evening
  • Overnight
  • Rotating/varies
  • Prefer not to say
Q12
選択式

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
メッセージ

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.

含まれる機能

  • AIによる深掘り

    自由回答に合わせてAIが追加で質問し、固定のフォームでは拾えない具体的な内容を引き出します。

  • 注意確認設問

    急いだ回答や質の低い回答者を除外する仕組みを標準で備えています。

  • AIが作成する設問文

    文言、設問の順序、条件分岐をAIが調査の目的に合わせて作成します。

  • 自動レポート

    回答が集まると、テーマ、引用、わかりやすい要約が自動で作成されます。

他ツールとの比較

ほかのアンケートツールで最も近いテンプレートを調べました。それぞれの優れている点と、このテンプレートがさらに踏み込んでいる点をまとめています。

このテンプレートを選ぶ理由

  • 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.

優れている点

  • 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

物足りない点

  • 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.

優れている点

  • 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

物足りない点

  • 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

よくあるご質問

「Shift Scheduling Satisfaction Survey for Hourly Teams」テンプレートにはどのような設問が含まれていますか？

すぐに使える設問が13問含まれており、最初の設問は次のとおりです：「Thanks for taking a few minutes for this! We want to understand how your work schedule actually feels week to week — pre…」・「How predictable is your work schedule week to week?」・「In the last month, how much advance notice did you typically get before a schedule was posted or changed?」。すべての設問は上でプレビューでき、自由に編集できます。

このアンケートの回答にはどのくらい時間がかかりますか？

回答者は通常、13問を約7分で回答し終えます。

テンプレートは編集できますか？

はい。公開前であれば、すべての設問、選択肢、順序を編集できます。設問の追加や削除のほか、調査の目的に合わせた作り直しをAIエディターに依頼することもできます。

このテンプレートは無料で使えますか？

はい。エディターで開けば、すぐに編集を始められます。お試しにアカウントは不要で、無料プランでアンケートを公開できます。

公開の準備はできましたか？

このテンプレートをエディターで開いてみてください。最初の回答者が目にする前に、すべてを自由に変更できます。

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