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Customer Experience

Coffee Shop Customer Experience & Loyalty Survey

Captures how customers rate your drinks, wait time, staff, and atmosphere on their most recent visit, plus their likelihood to return. An AI follow-up digs into the specific moment that shaped their rating so you know exactly what to fix or protect.

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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14問・約7分
Q01
メッセージ

Thanks for stopping in! We'd love your honest take on your recent visit — drinks, service, the whole vibe. Takes about 8 minutes and helps us make the shop better.

Q02
選択式必須

In the last 30 days, how often have you visited this coffee shop?

  • Daily
  • A few times a week
  • About once a week
  • A few times a month
  • This was my first visit
Q03
選択式

What did you order on your most recent visit?

  • Hot coffee or espresso drink
  • Cold brew or iced coffee
  • Tea
  • Food item only
  • Both a drink and food
Q04
数値必須

About how many minutes did you wait from ordering to getting your drink in hand?

Q05
オピニオンスケール必須

How would you rate the quality of your drink on that visit — taste, temperature, and consistency with what you ordered?

スケール: 1 – 5
最小:Poor最大:Excellent
Q06
評価スケール必須

How would you rate the friendliness of the staff who served you?

範囲: 1 – 5
最小:Unfriendly最大:Extremely friendly
Q07
マトリクス必須

How would you rate the shop on each of the following?

5行 × 5列
  • Cleanliness
  • Seating comfort
  • Noise level
  • Music and ambiance
  • Suitability for working or studying
列: Poor · Fair · Good · Very good · Excellent
Q08
オピニオンスケール必須

How likely are you to recommend this coffee shop to a friend or colleague?

スケール: 0 – 10
最小:Not at all likely最大:Extremely likely
Q09
AIインタビュー

Reconstruct the single moment from the respondent's most recent visit that most shaped their recommend-likelihood score, anchoring on whatever they rated lowest among drink quality, wait time, staff friendliness, or atmosphere. If they gave a high score across the board, probe what would make them an even more frequent customer; if they gave a low score, get specifics on what happened and whether it's a one-off or a pattern for them.

Q10
選択式

Are you a member of this coffee shop's loyalty or rewards program?

  • Yes, and I use it regularly
  • Yes, but I rarely use it
  • No, but I'm aware of it
  • No, I didn't know there was one
Q11
ベスト・ワースト選択（MaxDiff）

If we could only fix a few things, which of these would matter most to you?

  • Faster service
  • Better drink quality or consistency
  • Friendlier staff
  • More comfortable seating
  • Cleaner space
  • Better food options
  • More loyalty rewards or discounts
  • Better wifi or workspace setup
各セットで最も良いもの・最も悪いものを選択最も良い:Matters most最も悪い:Matters least
Q12
自由回答（長文）

Is there anything specific we could do to earn a 10 out of 10 from you next time?

Q13
選択式

Which age range do you fall into?

  • Under 18
  • 18-24
  • 25-34
  • 35-44
  • 45-54
  • 55-64
  • 65 or older
Q14
メッセージ

That's everything — thank you for the honest feedback! We'll use your answers to fix pain points and keep doing what's already working.

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

  • Includes a dedicated AI follow-up interview block that reconstructs the exact moment from the respondent's most recent visit that shaped their rating, going beyond static ratings to uncover the 'why' behind the score
  • Combines structured metrics (visit frequency, wait time, drink quality, staff friendliness, matrix ratings, NPS-style likelihood to recommend) with open-ended and MaxDiff prioritization so you get both quantifiable benchmarks and a ranked list of what to fix first
  • Captures loyalty program membership and demographic (age range) segmentation alongside experience data, letting you cross-reference satisfaction with customer type
  • Closes with a direct open-ended prompt asking what would earn a 10/10 next time, giving actionable, verbatim improvement ideas rather than just a satisfaction number

SurveyMonkey

Customer Experience Survey Template & Questions

A general-purpose customer experience template with a broad question bank covering satisfaction, service, and likelihood to return. It's built for wide applicability across industries rather than coffee shop specifics like drink quality or wait time between order and pickup. Fielding-ready but static — every respondent sees the same fixed question set.

優れている点

  • Large, well-established question bank for customer experience topics
  • Easy to deploy quickly with familiar survey-builder UI
  • Broad applicability across many business types

物足りない点

  • No adaptive AI follow-up to probe the specific moment behind a rating — relies on fixed multiple-choice/scale questions
  • No published methodology or transparent prompt logic for how questions were selected
  • No voice AI interview or guided screen-share task option

SurveySparrow

Customer Loyalty Questionnaire Template

This template focuses specifically on loyalty metrics (repeat visits, recommend likelihood, rewards program engagement) using SurveySparrow's conversational, chat-style question format. It reads well on mobile but is still a fixed question flow rather than a dynamic interview. No coffee-shop-specific elements like wait time or drink-order tracking are present.

優れている点

  • Conversational, chat-style UI that feels more engaging than a traditional form
  • Purpose-built around loyalty and retention metrics
  • Mobile-friendly presentation

物足りない点

  • Conversational format is scripted, not adaptive — it can't reconstruct a specific visit moment through follow-up questioning
  • No per-response quality scoring or automated flagging of low-effort answers
  • No transparent, publishable prompt/methodology documentation

Typeform

Customer Loyalty Survey Template

Typeform's loyalty template offers a clean, one-question-at-a-time design well suited for NPS-style loyalty tracking. It's a static template that can use basic branching logic but doesn't dynamically generate new questions based on a respondent's specific answer. No coffee-shop-specific fields (drink orders, wait time, staff ratings) are included out of the box.

優れている点

  • Polished, distraction-free one-question-per-screen design
  • Simple branching/logic jumps for basic personalization
  • Strong brand reputation for completion rates on short surveys

物足りない点

  • Branching logic is rule-based, not an AI-driven adaptive interview that probes an individual respondent's stated experience
  • No voice interview mode or guided screen-share tasks
  • No automated per-response quality scoring or auto-generated analysis report

よくあるご質問

「Coffee Shop Customer Experience & Loyalty 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14問含まれており、最初の設問は次のとおりです：「Thanks for stopping in! We'd love your honest take on your recent visit — drinks, service, the whole vibe. Takes about 8…」・「In the last 30 days, how often have you visited this coffee shop?」・「What did you order on your most recent visit?」。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、14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。

このテンプレートを使う無料で始める

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