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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.

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Sample questions

A preview of what’s in the template. Every question is editable before you launch.

13 questions · ~7 min
Q01
Message

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. This takes about 8-10 minutes.

Q02
Multiple ChoiceRequired

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
Best–Worst Trade-off (MaxDiff)Required

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)
Pick best & worst per setBest:Most valuable to meWorst:Least valuable to me
Q04
Point AllocationRequired

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
Allocate 100 points
Q05
RankingRequired

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
Drag to rank
Q06
Price Sensitivity (Van Westendorp)Required

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
MatrixRequired

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 rows × 4 columns
  • Advanced Analytics Dashboard
  • Team Collaboration Tools
  • API Access & Integrations
  • Priority Customer Support
  • Custom Reporting
Columns: Not worth paying for separately · $5/mo add-on · $15/mo add-on · $30/mo add-on
Q08
Opinion ScaleRequired

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

Scale: 0 – 10
Min:Not at all likelyMax:Extremely likely
Q09
AI Interview

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
Multiple ChoiceRequired

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
Multiple Choice

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
Multiple Choice

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
Message

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

What’s included

  • AI follow-ups

    Adaptive probes on open-ended answers that pull out detail a static form would miss.

  • Attention checks

    Built-in safeguards against rushed answers and low-quality respondents.

  • AI-drafted copy

    Wording, ordering, and branching written by the AI — tuned to your research goal.

  • Auto report

    Themes, quotes, and a plain-English summary write themselves once responses come in.

How it compares

We reviewed the closest templates from other survey tools. Here’s what they do well — and where this template goes further.

Why this template

  • 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.

What it does well

  • 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

Where it falls short

  • 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.

What it does well

  • 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

Where it falls short

  • 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.

What it does well

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

Where it falls short

  • 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

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