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Industry-Specific

In-Store Shopper Trip and Checkout Experience Survey

Captures what shoppers came to buy, how they navigated the store, what they did when an item was missing, and how checkout felt — with an AI follow-up that digs into the real reasoning behind substitution choices and navigation friction. Built for retail insights and category management teams.

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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 today! We'd love to hear about your visit — what you came for, how easy it was to find things, and how checkout went. Your responses are completely confidential and anonymized. About 8 minutes, and your honest take helps us the most.

Q02
選択式必須

In the last 30 days, about how many times 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 best describes the main reason for today's trip?

  • Big weekly/monthly stock-up
  • Quick top-up trip (a few items)
  • Specific errand (one or two items)
  • Fill-in for a meal or event
  • Browsing / no specific plan
Q04
選択式必須

How much of today's shopping did you plan in advance (list, app, or in your head) versus decide on in the store?

  • Entirely planned in advance
  • Mostly planned, a few extras
  • About half and half
  • Mostly decided in-store
  • Entirely decided in-store
Q05
選択式

How did you find your way to the items you needed today? Select all that apply.

  • Store layout memory from past visits
  • In-store signage or aisle markers
  • Store map or directory
  • Store app or website
  • Asked a store associate
  • Just wandered until I found it
Q06
評価スケール必須

Overall today, how easy was it to find the items on your list?

範囲: 1 – 5
最小:Very difficult最大:Very easy
Q07
選択式

Thinking about the last time an item you wanted was out of stock here, what did you do?

  • Bought a different brand or size in the same category
  • Bought the same brand at a different size/pack
  • Skipped the item entirely
  • Went to a different store to get it
  • Ordered it online instead
  • Asked a staff member to check the back or another location
  • This hasn't happened to me recently
Q08
マトリクス必須

Thinking about checkout today, how much do you agree with each statement?

5行 × 5列
  • The wait time to check out was reasonable
  • Staff were friendly and helpful at checkout
  • The self-checkout or scanning process was easy to use
  • I had the payment method I wanted to use
  • The checkout area felt organized and not crowded
列: Strongly disagree · Disagree · Neutral · Agree · Strongly agree
Q09
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, based on today's visit?

スケール: 0 – 10
最小:Not at all likely最大:Extremely likely
Q10
AIインタビュー

Probe the specific moment of friction in this shopper's trip: if they described a substitution or an item they couldn't find, reconstruct exactly what happened — what they were looking for, what alternative (if any) they chose, and whether they'd have bought more if it had been in stock or easier to locate. If navigation involved wandering or asking staff, dig into what signage or layout change would have prevented that. If everything went smoothly, ask what almost went wrong or what would make their next trip faster.

Q11
自由回答（長文）

Anything else about today's trip — good or bad — you'd want the store 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 trip with us! Your answers feed directly into decisions about store layout, stocking, and checkout — helping make your next visit smoother.

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

  • Captures the full trip arc — trip purpose, planned vs. unplanned shopping, in-store navigation, and checkout — in one flow rather than a generic satisfaction survey
  • Includes a dedicated multiple-choice question on what shoppers actually did the last time an item was out of stock, giving structured substitution behavior data before the AI probe
  • Uses an AI follow-up interview step to probe the specific moment of friction a shopper described, digging into the real reasoning behind substitution choices and navigation friction instead of stopping at a rating
  • Pairs a matrix on checkout agreement statements with an opinion-scale recommend question and an open open-text, so quantifiable and open-ended feedback both feed the auto-generated report

SurveyMonkey

Shopper Insights Survey Template

A fielding-ready static template covering general shopper insights, likely with standard question types like ratings and multiple choice. It's a reasonable starting point for retail feedback but appears built as a fixed questionnaire rather than one that adapts per respondent. Good for benchmarking against a broad question bank, less suited to digging into individual shopper reasoning.

優れている点

  • Backed by a widely-used, established survey platform with broad template library
  • Likely quick to deploy for general shopper insight collection
  • Familiar interface for teams already using SurveyMonkey

物足りない点

  • No adaptive AI follow-up — questions are static and fixed at design time, so unexpected shopper friction can't be probed further
  • No indication of automated per-response quality scoring or transparent prompt methodology
  • No voice AI interview or guided screen-share task option for deeper behavioral capture

SurveySparrow

Shopper Insights Survey Template | Understand Buyer Behavior

A conversational-style template aimed at understanding buyer behavior, positioned as fielding-ready for retail teams. It likely offers a more chat-like respondent experience than a plain form, but the questions themselves appear pre-set rather than dynamically generated from prior answers. No mention of AI-driven follow-up probing or automated scoring.

優れている点

  • Conversational survey format may improve completion rates versus a traditional grid form
  • Framed specifically around buyer behavior, showing retail-focused intent
  • Likely easy to customize branding and question wording for a specific store

物足りない点

  • No adaptive AI interview that probes the specific reasoning behind an individual shopper's answers
  • No published methodology or transparent prompt logic behind how questions are asked
  • No automated quality scoring of open-ended responses or auto-generated analytical report

よくあるご質問

「In-Store Shopper Trip and Checkout Experience 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 shopping with us today! We'd love to hear about your visit — what you came for, how easy it was to find thing…」・「In the last 30 days, about how many times have you shopped at this store?」・「What best describes the main reason for today's trip?」。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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