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すべてのテンプレート
Industry-Specific

Retail Store Visit Experience Evaluation

Captures how shoppers rate a specific store visit — cleanliness, staff, stock, layout, checkout — plus overall satisfaction and likelihood to recommend or return. An AI follow-up interview digs into the real friction behind any low ratings, like a specific stockout or a bad checkout interaction, so store ops teams know exactly what to fix.

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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 shopping with us! We'd love to hear how your visit today went — your feedback helps us improve this store. Your responses are completely confidential and anonymized. It'll take about 8 minutes. (Template note: replace 'this store' with your store/banner name before launching.)

Q02
選択式必須

In the last 3 months, how often have you shopped at this store?

  • This was my first visit
  • 1-2 times
  • 3-5 times
  • 6-10 times
  • More than 10 times
Q03
選択式必須

What was the main reason for your visit today?

  • Planned purchase of a specific item
  • Browsing / no specific item in mind
  • Picking up an online order
  • Return or exchange
  • Other
Q04
マトリクス必須

Rate the store on each of the following:

5行 × 5列
  • Store cleanliness
  • Staff friendliness and helpfulness
  • Product availability and stock levels
  • Ease of finding items (layout and signage)
  • Checkout speed and efficiency
列: Very poor · Poor · Average · Good · Excellent
Q05
選択式必須

Did you find what you were looking for today?

  • Yes, found everything I needed
  • Partially - found some items but not all
  • No, could not find what I needed
Q06
オピニオンスケール必須

Overall, how satisfied were you with your visit today?

スケール: 1 – 5
最小:Very dissatisfied最大:Very satisfied
Q07
オピニオンスケール必須

How likely are you to recommend this store to a friend or family member?

スケール: 0 – 10
最小:Not at all likely最大:Extremely likely
Q08
AIインタビュー

Reconstruct the specific moment that most shaped this respondent's satisfaction and recommendation score. If they rated staff, stock, or checkout poorly in the ratings, get the concrete details: what happened, which item or department was involved, and what an employee did or failed to do. If their scores were high, ask what one thing would have made the visit even better. Do not let them stay abstract — anchor on this specific visit, not general impressions of the brand.

Q09
ベスト・ワースト選択（MaxDiff）

If this store could only fix a few things, which would matter most to you?

  • Faster checkout lines
  • Better product availability / fewer out-of-stock items
  • Clearer signage and easier store layout
  • More knowledgeable or attentive staff
  • Better pricing and promotions
  • Cleaner restrooms and store maintenance
  • Easier returns and exchanges
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 important to improve最も悪い:Least important to improve
Q10
選択式必須

How likely are you to shop at this store again in the next month?

  • Definitely will return
  • Probably will return
  • Not sure
  • Probably will not return
  • Definitely will not return
Q11
自由回答（長文）

Anything else about today's visit you'd like us to know?

Q12
選択式

Which age range do you fall into?

  • Under 18
  • 18-24
  • 25-34
  • 35-44
  • 45-54
  • 55-64
  • 65+
  • Prefer not to say
Q13
選択式

How do you describe your gender?

  • Woman
  • Man
  • Non-binary
  • Prefer to self-describe
  • Prefer not to say
Q14
メッセージ

Thank you for sharing your feedback! Your responses go directly to the store team and help shape improvements to staffing, stock, and store layout.

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

  • Goes beyond static ratings on cleanliness, staff, stock, layout, and checkout with an AI follow-up interview that reconstructs the specific moment (e.g., a stockout or bad checkout interaction) that drove a low score, so store ops know exactly what to fix.
  • Combines standard satisfaction and recommend/return-likelihood questions with a MaxDiff prioritization question, giving stores a ranked view of what to fix first rather than just averages.
  • Captures shopping frequency and visit intent alongside experience ratings, so results can be segmented by loyal vs. occasional shoppers.
  • Runs on a platform with automated per-response quality scoring and auto-generated reports, plus a free tier to start — with transparent prompts showing exactly what the AI asked and why.

QuestionPro

Comparative Retail Store Evaluation Survey Template

This template is built around comparing multiple store locations or visits side by side, which is useful for multi-site retail chains. It's a fielding-ready static questionnaire with standard rating items rather than a conversational or adaptive tool. Follow-up on any specific low rating would require manual survey logic or separate open-text questions.

優れている点

  • Framed specifically for cross-store or cross-visit comparison
  • Backed by QuestionPro's established survey platform and reporting tools
  • Likely includes standard Likert/rating scales covering common store attributes

物足りない点

  • No adaptive AI follow-up interview to probe the real cause behind a low score
  • No indication of prompt-level transparency into how questions were generated or scored
  • No automated per-response quality scoring mentioned

SurveySparrow

Retail Store Evaluation Survey Template

SurveySparrow's template uses its conversational, chat-style survey format, which can make static rating questions feel more engaging than a typical form. It's still a fixed question set, not a truly adaptive interview that changes based on answers. Good for a friendlier respondent experience, less suited to uncovering the specific incident behind a complaint.

優れている点

  • Conversational chat-style delivery for a more engaging respondent experience
  • Marketing-template context suggests built-in analytics dashboards
  • Likely mobile-friendly given SurveySparrow's product focus

物足りない点

  • No adaptive AI follow-up interview or voice interview option
  • Conversational UI is scripted, not dynamically branching based on response content
  • No published methodology for how quality or sentiment scoring works

Typeform

Retail Store Feedback Form Template

Typeform's template offers its signature clean, one-question-at-a-time form design, which tends to improve completion rates over dense grid-style surveys. It's a static feedback form, not an interview, so any low rating (e.g., on checkout or stock) won't be automatically probed further. Best suited for lightweight, quick-turnaround feedback rather than root-cause diagnosis.

優れている点

  • Polished, distraction-free one-question-per-screen design
  • Simple to deploy for quick customer feedback capture
  • Likely integrates with Typeform's broader form and logic-jump ecosystem

物足りない点

  • No AI-driven follow-up interview to dig into the reason behind a poor rating
  • No voice interview or guided task/screen-share option
  • No automated quality scoring of individual responses

Jotform

Store Visit Report Form Template

This Jotform template appears oriented toward internal store visit reporting — e.g., a field auditor or manager documenting store conditions — rather than a customer-facing satisfaction survey. It's relevant to the broader 'store visit evaluation' space but serves a different audience and purpose than a shopper feedback survey. Worth noting the target respondent differs from ours before treating it as a direct substitute.

優れている点

  • Structured for operational/audit-style documentation of a store visit
  • Jotform's form builder supports file/photo uploads useful for compliance checks
  • Easy to customize fields for internal reporting workflows

物足りない点

  • Not designed to capture customer satisfaction or recommend/return likelihood
  • No adaptive AI follow-up interview or customer-facing voice interview
  • No automated quality scoring or AI-generated insight reports

よくあるご質問

「Retail Store Visit Experience Evaluation」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 shopping with us! We'd love to hear how your visit today went — your feedback helps us improve this store. Yo…」・「In the last 3 months, how often have you shopped at this store?」・「What was the main reason for your visit today?」。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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