Retail Virtual Queue & Hold Fairness Survey
Measures shopper perceptions of fairness across virtual queues and hold experiences in retail, capturing wait context, fairness judgments, policy preferences, behavioral responses, and trust impact to identify CX improvement opportunities.
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。
Have you experienced a virtual queue or hold with a retailer in the last 3 months? (e.g., waiting in an online checkout queue, being placed on hold for customer support, waiting for a store pickup slot, etc.)
- Yes
- No
We'd like to understand how fair your most recent queue or hold experience felt. Please answer the following questions about that specific experience.
Which of the following queue or hold policies feel fair to you when waits are long? Select all that apply.
- Show estimated wait time
- Show my exact position in line
- Offer a callback instead of waiting on hold
- Limit per-customer purchases
- Invite windows or scheduled time slots
- Cap queue length and temporarily close entry
- Automatic timeout after inactivity
- None of these feel fair
In the last 3 months, how did you respond when faced with a long queue or hold? Select all that apply.
- Waited and completed my task
- Switched to a different retailer
- Came back later
- Abandoned the purchase or inquiry
- Used multiple devices or browser tabs
- Contacted support through another channel
- Gave up immediately
Based on your responses throughout this survey, what would make virtual queues and holds feel more fair to you? Please share any additional thoughts, suggestions, or experiences.
Finally, we have a few optional questions about you to help us understand patterns across different groups.
Thank you for completing this survey. Your responses will help retailers design fairer, more transparent queue and hold experiences. Your answers are confidential and will be reported only in aggregate.
In which of the following settings did you experience a virtual queue or hold? Select all that apply.
- Online checkout during high demand
- Customer support chat
- Store pickup or appointment scheduling
- Limited-release or product drop
- Phone support hold
- Other (please specify)
Overall, how fair did that most recent queue or hold feel?
Rank the following factors by how acceptable you find them for determining queue order during high demand. Place the most acceptable at the top.
- Arrival time (first-come, first-served)
- Membership tier or loyalty status
- Past spend with the retailer
- Recovery from technical issues or disconnections
- Accessibility or disability-related needs
- Randomized order to deter bots
What is your age?
- 18–24
- 25–34
- 35–44
- 45–54
- 55–64
- 65+
- Prefer not to say
When was your most recent virtual queue or hold with a retailer?
- Within the last 7 days
- 8–30 days ago
- 1–3 months ago
I understood why I was placed in the position I was in the queue.
Rank the following aspects by how much they determine whether a queue or hold feels fair to you. Place the most important at the top.
- First-come, first-served order
- Clear and transparent rules
- Accurate position updates
- Estimated wait time accuracy
- Control options (e.g., callback, pause, return)
- Accessibility accommodations
- Protections against bots and abuse
Which gender do you identify with?
- Man
- Woman
- Non-binary
- Prefer not to say
Approximately how long did you wait in that most recent queue or hold?
- Less than 5 minutes
- 5–10 minutes
- 11–20 minutes
- 21–30 minutes
- 31–60 minutes
- More than 60 minutes
- I'm not sure
The estimated wait time I was given was accurate.
Which region best describes where you live?
- North America
- Latin America
- Europe
- Middle East / North Africa
- Sub-Saharan Africa
- Asia
- Oceania
- Prefer not to say
I felt the queue or hold treated all customers equally.
What is your highest level of education?
- Some high school or less
- High school diploma or equivalent
- Some college or associate degree
- Bachelor's degree
- Postgraduate or professional degree
- Prefer not to say
I felt the retailer valued my time during the wait.
What is your current employment status?
- Employed full-time
- Employed part-time
- Self-employed
- Unemployed and seeking work
- Not seeking work
- Student
- Retired
- Homemaker / caregiver
- Prefer not to say
How did that queue or hold experience affect your trust in the retailer?
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。
よくあるご質問
「Retail Virtual Queue & Hold Fairness Survey」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24問含まれており、最初の設問は次のとおりです:「Welcome to this survey about your experiences with virtual queues and holds when shopping or contacting retailers. This…」・「Have you experienced a virtual queue or hold with a retailer in the last 3 months? (e.g., waiting in an online checkout…」・「We'd like to understand how fair your most recent queue or hold experience felt. Please answer the following questions a…」。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、24問を約11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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