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Product & UX

Product Recommendation Experience & Personalization Survey

Measures user satisfaction with recommendation relevance, perceived control, and content diversity. Designed for product teams optimizing personalization engines and recommendation UX.

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Product Recommendation Experience & Personalization Survey

Welcome! Thank you for participating in this survey about your experience with product recommendations. This survey takes approximately 11 minutes. Your participation is entirely voluntary and you may stop at any time. There are no right or wrong answers — we are interested in your honest opinions. All responses are confidential, will be reported only in aggregate, and will be used to improve the recommendation experience.

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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22問・約11分
メッセージ

Welcome! Thank you for participating in this survey about your experience with product recommendations. This survey takes approximately 11 minutes. Your participation is entirely voluntary and you may stop at any time. There are no right or wrong answers — we are interested in your honest opinions. All responses are confidential, will be reported only in aggregate, and will be used to improve the recommendation experience.

Q01
プルダウン

How long have you been using this product?

  • Less than 1 month
  • 1–6 months
  • 7–12 months
  • 1–2 years
  • More than 2 years
  • I do not use it regularly
  • Prefer not to say
Q02
オピニオンスケール

How often do you engage with recommendations when using the product?

スケール: 1 – 7
最小:Never最大:Very often
Q03
プルダウン

When did you last see recommendations in our product?

  • Within the last 7 days
  • 8–14 days ago
  • 15–30 days ago
  • More than 30 days ago
  • I don't recall
Q04
選択式

During that session, did you act on any recommendation (e.g., click, save, or purchase)?

  • Yes
  • No
  • Not sure
Q05
選択式

What prevented you from acting on a recommendation? (Select all that apply)

  • Did not seem relevant to me
  • Already had enough options
  • Not enough helpful details provided
  • Concerns about accuracy or trust
  • Not timely for what I was doing
  • I prefer finding items myself
  • I was just browsing
  • Other (please specify)
Q06
オピニオンスケール

Overall, how useful are our recommendations for achieving your goals?

スケール: 1 – 7
最小:Not at all useful最大:Extremely useful
Q07
オピニオンスケール

The recommendations I see are relevant to my interests.

スケール: 1 – 7
最小:Strongly disagree最大:Strongly agree
Q08
オピニオンスケール

The recommendations I see are timely for what I need.

スケール: 1 – 7
最小:Strongly disagree最大:Strongly agree
Q09
オピニオンスケール

I trust the accuracy of the recommendations I receive.

スケール: 1 – 7
最小:Strongly disagree最大:Strongly agree
Q10
オピニオンスケール

The recommendations introduce me to items I would not have found on my own.

スケール: 1 – 7
最小:Strongly disagree最大:Strongly agree
Q11
オピニオンスケール

How often do recommendations lead to a successful outcome for you (e.g., finding what you need, saving time)?

スケール: 1 – 7
最小:Never最大:Always
Q12
オピニオンスケール

How much control do you feel you have over the recommendations you see?

スケール: 1 – 7
最小:No control at all最大:Complete control
Q13
選択式

Which of the following controls have you used to influence your recommendations in the last 30 days? (Select all that apply)

  • Like / thumb up
  • Dislike / thumb down
  • Hide or mute items
  • Follow topics or sources
  • Adjust interests or preferences
  • Clear or reset history
  • Mark 'not interested' or skip
  • None of these
Q14
オピニオンスケール

To what extent did the controls you used improve your recommendations?

スケール: 1 – 7
最小:No improvement at all最大:Major improvement
Q15
ランク付け

Which of the following recommendation controls would be most useful to you? (Rank your top 3)

  1. More visible feedback buttons
  2. Per-item controls (hide/mute)
  3. Topic or source follow/block
  4. Adjustable diversity slider
  5. Profile preference settings
  6. Clearer explanations of why items are recommended
ドラッグして順位を付ける
Q16
オピニオンスケール

How much variety do you typically see across the recommendations shown to you?

スケール: 1 – 7
最小:Very little variety最大:A great deal of variety
Q17
オピニオンスケール

In the last 7 days, how often did you notice near-duplicate recommendations?

スケール: 1 – 7
最小:Never最大:Very often
Q18
ランク付け

Rank the following in order of how much you would like to see them in your recommendations (most desired first).

  1. Familiar items I already know
  2. New items I haven't seen before
  3. Variety across different topics or categories
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Q19
AIインタビュー

I'd like to understand your recommendation experience a bit more. Let's start: What stands out most — positively or negatively — about the recommendations you've been seeing recently?

Q20
自由回答(長文)

Based on your experience, what one change would most improve the recommendations you receive?

Q21
プルダウン

What is your age group?

  • Under 18
  • 18–24
  • 25–34
  • 35–44
  • 45–54
  • 55–64
  • 65 or older
  • Prefer not to say
Q22
プルダウン

Which region do you primarily use the product from?

  • North America
  • Europe
  • Asia-Pacific
  • Latin America
  • Middle East & Africa
  • Prefer not to say
メッセージ

Thank you for completing this survey — your feedback directly helps us improve your recommendation experience!

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

  • Our template dedicates multiple opinion-scale items specifically to recommendation relevance, timeliness, trust/accuracy, and content diversity (including a near-duplicate detection question), rather than treating recommendations as one line item in a general satisfaction survey
  • It includes two ranking questions so product teams can quantify which recommendation controls and which content types users actually want prioritized
  • It includes an adaptive AI follow-up interview that probes deeper into a respondent's specific recommendation experience based on their prior answers, plus an open-text question capturing one concrete improvement suggestion
  • Responses feed into an automated report with per-response quality scoring, and QuestionPunk's prompts are transparent, unlike static form tools

QuestionPro

Product Satisfaction Survey Questions + Sample Template

This is a general product satisfaction survey template rather than one built specifically around recommendation relevance, control, or content diversity. It's a fielding-ready static template from an established survey platform, useful as a broad satisfaction instrument but not tailored to personalization-engine UX research. Teams would need to heavily customize it to get recommendation-specific insight.

優れている点

  • Comes from a mature, full-featured survey platform with a large template library
  • Provides a ready sample question set that teams can deploy quickly
  • Likely supports standard survey logic and reporting common to QuestionPro's toolset

物足りない点

  • No adaptive AI follow-up interviewing — it's a fixed, static question set
  • Not focused on recommendation-specific constructs like content diversity, control, or trust in personalization
  • No automated per-response quality scoring or transparent AI prompt methodology

よくあるご質問

「Product Recommendation Experience & Personalization 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22問含まれており、最初の設問は次のとおりです:「How long have you been using this product?」・「How often do you engage with recommendations when using the product?」・「When did you last see recommendations in our product?」。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、22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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