すべてのテンプレート
Market Research

Product Bundle Preference & Standalone Pricing Study

Measures which features customers want bundled together, how much value each feature category adds, and what they'd pay if features were sold à la carte — built for product and pricing teams designing tiered packaging. An AI follow-up unpacks the reasoning behind a respondent's top-ranked bundle instead of stopping at the ranking itself.

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 helping us shape our product bundles! We want to understand which features matter most together and what you'd pay for them individually. Your responses are completely confidential and anonymized. This takes about 8-10 minutes.

Q02
選択式必須

Which of the following best describes your current relationship with (Replace with your product name)?

  • Free trial user
  • Paid subscriber - Basic tier
  • Paid subscriber - Premium tier
  • Not yet a customer, evaluating
Q03
ベスト・ワースト選択(MaxDiff)必須

Below are features we're considering bundling together. (Template note: replace this list with your own feature set before launching.) Which is most valuable to you, and which is least valuable?

  • Advanced Analytics Dashboard (Replace with Feature A)
  • Team Collaboration Tools (Replace with Feature B)
  • API Access & Integrations (Replace with Feature C)
  • Priority Customer Support (Replace with Feature D)
  • Custom Reporting (Replace with Feature E)
  • Single Sign-On / SSO (Replace with Feature F)
  • Mobile App Access (Replace with Feature G)
  • Automated Workflows (Replace with Feature H)
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 valuable to me最も悪い:Least valuable to me
Q04
ポイント配分必須

You have 100 points to distribute across these feature categories based on how much value each adds to your ideal bundle. Spend more points on what matters most — you can give a category zero.

  • Core reporting features
  • Collaboration & sharing tools
  • Integrations & API access
  • Support & onboarding
  • Advanced security controls
100ポイントを配分
Q05
ランク付け必須

Rank these bundle configurations from most to least appealing. (Template note: replace with your actual candidate bundles and pricing before launching.)

  1. Bundle A: Core + Collaboration
  2. Bundle B: Core + Integrations
  3. Bundle C: Core + Advanced Security
  4. Bundle D: All features, higher price
ドラッグして順位を付ける
Q06
価格感度分析(Van Westendorp)必須

Now think about the full bundle as a single monthly package.

  • At what monthly price would this bundle be so cheap that you'd question its quality?
  • At what monthly price would this bundle be a bargain — great value for the money?
  • At what monthly price would this bundle start to feel expensive, though you'd still consider it?
  • At what monthly price would this bundle be so expensive you would not consider purchasing it?
Q07
マトリクス必須

If each feature were sold as a separate add-on instead of bundled, what's the most you'd pay for it on its own? (Template note: replace price tiers with your own pricing before launching.)

5行 × 4列
  • Advanced Analytics Dashboard
  • Team Collaboration Tools
  • API Access & Integrations
  • Priority Customer Support
  • Custom Reporting
列: Not worth paying for separately · $5/mo add-on · $15/mo add-on · $30/mo add-on
Q08
オピニオンスケール必須

How likely are you to purchase this bundle as a single package rather than buying features separately?

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

Ask the respondent to walk through the bundle configuration they ranked highest and explain, in their own words, which specific features they would keep if the bundle were split apart and why those particular features feel like they belong together. Anchor on any feature they gave zero points to in the value-allocation question and ask why. If no bundle appealed to them, probe what combination they would build instead and what they'd expect to pay for it standalone.

Q10
選択式必須

If we sold these features as standalone add-ons instead of one bundle, how would that change your purchase decision?

  • I'd still buy the same features, just à la carte
  • I'd buy fewer features than the bundle offers
  • I'd buy more features than the bundle offers
  • I would not purchase at all without a bundle discount
Q11
選択式

What is your role in purchasing decisions for this type of product?

  • Final decision maker
  • Influencer / recommender
  • End user, no purchasing role
  • Other
  • Prefer not to say
Q12
選択式

What is your organization's size?

  • 1-10 employees
  • 11-50 employees
  • 51-200 employees
  • 201-1,000 employees
  • 1,000+ employees
  • Prefer not to say
Q13
メッセージ

That's everything — thank you! Your answers feed directly into how we group features into bundles and price each tier.

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

  • Uses MaxDiff and a constant-sum exercise to quantify relative feature value before asking about bundles, not just a single ranking question
  • Includes a full Van Westendorp price sensitivity module for the bundle plus a standalone add-on matrix, so pricing and packaging are tested together
  • An AI follow-up interview asks respondents to walk through the reasoning behind their top-ranked bundle configuration, surfacing the 'why' that a static ranking can't
  • Captures buyer role and org size context alongside preference data so product and pricing teams can segment results by decision-maker type

SurveyMonkey

Product Feature Survey Template

A standard fielding-ready template focused on gathering feedback on individual product features, with typical rating and open-text questions. It's built for general feature feedback rather than bundle trade-off or à la carte pricing analysis. Useful as a lightweight feature-satisfaction check rather than a packaging/pricing study.

優れている点

  • Ready-to-use template within SurveyMonkey's established survey platform
  • Simple setup for quick feature feedback collection
  • Backed by SurveyMonkey's broad distribution and panel options

物足りない点

  • No bundle trade-off methods like MaxDiff, constant-sum, or ranking of package configurations
  • No built-in price sensitivity (Van Westendorp) or standalone add-on pricing matrix
  • Static question set with no adaptive follow-up to probe reasoning behind feature preferences

SurveySparrow

Product Pricing Survey Template | Price Sensitivity & Market Research

A pricing-focused template that appears to center on price sensitivity and market research, making it a closer match to our topic than generic feature surveys. It likely includes Van Westendorp-style pricing questions but is not shown to address feature bundling or à la carte valuation specifically. Presented as a ready-to-field template within SurveySparrow's platform.

優れている点

  • Directly targets price sensitivity research, a core piece of pricing strategy work
  • Ready-to-deploy template inside SurveySparrow's survey builder
  • Likely includes conversational/chat-style survey UI, SurveySparrow's known differentiator

物足りない点

  • No indication of bundle-configuration ranking or MaxDiff-style feature trade-off analysis
  • No mechanism to unpack the reasoning behind a top pricing or bundle choice via adaptive follow-up
  • No transparent, auditable prompt/methodology documentation for how questions were derived

QuestionPro

Product Evaluation Survey Template and Sample Questionnaire

A broad product evaluation template covering general satisfaction and quality feedback on a product, with a sample questionnaire provided. It's oriented toward evaluating an existing product overall rather than testing bundle configurations or standalone feature pricing. Functions more as a general-purpose evaluation form than a pricing/packaging research instrument.

優れている点

  • Comprehensive general product evaluation question bank
  • Sample questionnaire included for quick customization
  • Part of QuestionPro's wider survey and analytics platform

物足りない点

  • No bundle preference ranking, MaxDiff, or constant-sum allocation methods for feature valuation
  • No standalone/à la carte pricing matrix or Van Westendorp pricing module evident
  • Fixed-format questions with no adaptive AI interview to probe the reasoning behind top choices

よくあるご質問

「Product Bundle Preference & Standalone Pricing Study」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 helping us shape our product bundles! We want to understand which features matter most together and what you'…」・「Which of the following best describes your current relationship with (Replace with your product name)?」・「Below are features we're considering bundling together. (Template note: replace this list with your own feature set befo…」。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。

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