QuestionPunkQuestionPunk
無料で始める
すべてのテンプレート
Market Research

Product Search and Purchase Journey Survey

Explores how people discover, evaluate, and decide to buy products — where they search, what almost stops them at checkout, and how they weigh price against trust and convenience. An AI follow-up interview reconstructs a respondent's most recent purchase step by step to surface the real friction points behind the ratings.

このテンプレートを使うほかのテンプレートを見る

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 to share how you search for and buy products online. Your answers help us understand what works well and what gets in the way. Your responses are completely confidential and anonymized. This should take about 5 minutes.

Q02
選択式必須

When you're looking for a new product to buy, where do you usually start your search?

  • Search engine (e.g., Google)
  • A specific retailer's website or app
  • Social media
  • Online marketplace (Replace with your own examples, e.g., Amazon)
  • Asking friends or family
  • Other
Q03
ベスト・ワースト選択（MaxDiff）必須

For each set, pick the factor that matters most and the one that matters least when deciding what to buy.

  • Price
  • Product reviews and ratings
  • Brand reputation
  • Shipping speed
  • Return policy
  • Product availability / in stock
  • Recommendations from friends or family
  • Detailed product information (specs, sizing, materials)
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
Q04
マトリクス必須

Thinking about your most recent product search and purchase, how much do you agree with each statement?

5行 × 5列
  • I could easily find the product I wanted.
  • I trusted the information provided about the product.
  • I compared several options before deciding.
  • The checkout process felt secure.
  • Shipping and return policies were clear.
列: Strongly disagree · Disagree · Neutral · Agree · Strongly agree
Q05
オピニオンスケール必須

Thinking about your most recent purchase, how easy was it to find exactly what you were looking for?

スケール: 1 – 7
最小:Very difficult最大:Very easy
Q06
選択式必須

Before completing your most recent purchase, did you compare prices across more than one retailer or seller?

  • Yes, I compared prices in multiple places
  • No, I only looked in one place
  • Not sure
Q07
評価スケール必須

How would you rate the checkout process for your most recent purchase?

範囲: 1 – 5
最小:Poor最大:Excellent
Q08
選択式

In the last 30 days, which of these, if any, almost stopped you from completing a purchase?

  • Unexpected shipping costs
  • Complicated checkout process
  • Being required to create an account
  • Limited payment options
  • Not enough product information
  • Slow website or app performance
  • Found a better price elsewhere
Q09
AIインタビュー

Reconstruct the respondent's most recent product search and purchase step by step: what triggered the search, where they looked, and what nearly made them abandon it. If they rated checkout poorly, probe exactly what went wrong and whether it was ever resolved. If they said they didn't compare prices, ask what would have prompted them to. Anchor the conversation on their actual last purchase, not general habits.

Q10
自由回答（長文）

Is there anything about searching for or buying products online that you wish worked differently?

Q11
選択式

Which age range do you fall into?

  • 18-24
  • 25-34
  • 35-44
  • 45-54
  • 55-64
  • 65+
  • Prefer not to say
Q12
選択式

What is your gender?

  • Woman
  • Man
  • Non-binary
  • Prefer to self-describe
  • Prefer not to say
Q13
メッセージ

That's everything — thank you! Your responses will be combined with others to help improve how products are presented, priced, and sold online.

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 an AI follow-up interview that reconstructs the respondent's most recent purchase step by step, surfacing the real friction points behind their ratings rather than stopping at a score
  • Combines structured measurement (multiple-choice, best-worst trade-off, matrix, rating-scale, rating) with open-ended probing, so quantifiable comparison-shopping and checkout-abandonment data is paired with qualitative context
  • Asks specifically what almost stopped respondents from completing a purchase in the last 30 days, then lets the AI interview dig into that moment in detail
  • Automated per-response quality scoring and an auto-generated report mean the open-ended and interview data arrive already synthesized, not just as a pile of raw text

QuestionPro

Product Search and Purchase Survey Template

This is a directly comparable, ready-to-field template covering the same product search and purchase journey topic. It relies on standard closed-ended question types to capture behavior and satisfaction. There's no mechanism shown for adaptively reconstructing a specific recent purchase experience.

優れている点

  • Purpose-built template on the exact same topic (product search and purchase behavior)
  • Backed by an established survey platform with broad question-type support
  • Likely offers quick deployment for standard market research needs

物足りない点

  • Static question set with no adaptive follow-up probing into individual responses
  • No voice-based interview option for richer, spoken respondent detail
  • No visible per-response quality scoring or automated synthesis of open-ended answers

SurveyMonkey

Market Research Product Survey Questions

This is a broader market research product survey template rather than one focused specifically on the search-to-checkout journey. It's built on SurveyMonkey's standard fixed-question format, useful for general product feedback but not tailored to reconstructing a specific purchase path. Good for quick fielding, less suited to deep friction-point analysis.

優れている点

  • Well-known, easy-to-deploy survey platform with broad distribution options
  • Template likely covers general product perception and market fit questions
  • Simple setup for teams wanting fast, standard market research

物足りない点

  • Fixed-question format with no adaptive AI follow-up to probe individual purchase journeys
  • No option for voice-based interviewing to capture nuance beyond text/rating answers
  • No transparent, publishable methodology for how deeper questions are generated

SurveySparrow

Product Market Research Survey Template

A general product market research template that overlaps with search-and-purchase topics but isn't specifically structured around reconstructing a recent checkout experience. It offers a conversational-style survey format, which helps engagement but stops short of true adaptive interviewing. Best suited for broad product perception data rather than granular journey mapping.

優れている点

  • Conversational chat-style survey format that may improve completion rates
  • Template covers general product market research, applicable to purchase-related questions
  • Established platform with straightforward template deployment

物足りない点

  • No adaptive AI interview that follows up dynamically based on a respondent's specific answers
  • No guided task or screen-share capability to observe actual search/checkout behavior
  • No automated per-response quality scoring or auto-generated friction-point report

よくあるご質問

「Product Search and Purchase Journey 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 to share how you search for and buy products online. Your answers help us understand wha…」・「When you're looking for a new product to buy, where do you usually start your search?」・「For each set, pick the factor that matters most and the one that matters least when deciding what to buy.」。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。

このテンプレートを使う無料で始める

関連テンプレート

似たテーマのほかの調査もご覧ください。

すべて見る
Market Research

Gasoline Buying Habits and Price Sensitivity Survey

Measures how often people buy gasoline, what drives their choice of station, and how they perceive fair versus unfair pump prices — for retailers, fuel brands, and pricing teams. An AI follow-up interview digs into the gap between stated price sensitivity and what actually makes drivers switch or stay loyal.

テンプレートを見る
Market Research

Purchase Decision Journey & Evaluation Survey

Traces the full purchase journey — what triggered the search, which channels shoppers trusted, which criteria mattered most, and how they feel about the outcome. Built for product, marketing, and insights teams benchmarking their buying process. The AI follow-up rebuilds the exact moment the decision tipped, surfacing the near-miss competitor and friction points closed questions miss.

テンプレートを見る
Market Research

Product Purchase Decision Journey Survey

Maps the end-to-end path customers take from first considering a purchase to completing it — the triggers, information sources, and trade-offs that shaped the decision. Built for product, marketing, and CX teams optimizing conversion; the AI follow-up interview reconstructs the exact moment of hesitation that almost derailed the purchase.

テンプレートを見る
Market Research

Path to Purchase: Discovery, Research & Decision Triggers

Reconstructs the full journey behind a considered purchase — how customers first discovered the product, which sources shaped their decision, what nearly stopped them, and how confident they feel now. An AI follow-up rebuilds the actual sequence of events around the moment of hesitation, not just the tidy summary customers give afterward.

テンプレートを見る
Market Research

Retail Shopping and Product Search Behavior Survey

Maps how shoppers browse, search, and decide across in-store, online, and marketplace channels — where product searches succeed or break down, which purchase factors carry the most weight, and what an AI follow-up interview uncovers about the last time someone couldn't find what they wanted. Built for retail, e-commerce, and merchandising teams optimizing search, navigation, and discovery.

テンプレートを見る
Market Research

Online Purchasing Habits and Decision Drivers Survey

Measures how often people shop online, what actually drives a buy-or-abandon decision, and where friction shows up in checkout, delivery, and returns. An AI follow-up interview reconstructs a real recent purchase (or near-purchase) moment instead of relying on generic satisfaction ratings, making it useful for e-commerce and retail teams diagnosing drop-off.

テンプレートを見る