Q01
Message
All templatesPricing & Packaging
Package Design & Shelf Impact Test
Tests how a product package performs on the shelf — standout appeal, first-noticed elements, message clarity, and purchase intent — with a best-worst trade-off for design priorities and an AI follow-up that reconstructs the split-second decision to buy or pass.
Sample questions
A preview of what’s in the template. Every question is editable before you launch.
14 questions · ~7 min
Q02
Opinion ScaleRequired
Imagine this package sitting on a shelf next to similar products. How much does it stand out?
Scale: 1 – 7
Min:Blends in completelyMax:Impossible to miss
Q03
Multiple ChoiceRequired
What was the very first thing you noticed about the package?
- Brand name or logo
- Color
- Image or graphic
- Product name
- Claims or callouts (e.g. 'new', '50% more')
- Shape of the package
Q04
MatrixRequired
How much do you agree with each statement about this package?
5 rows × 5 columns
- It looks premium or high quality
- It clearly communicates what's inside
- It stands out from what I'd expect on this shelf
- It feels trustworthy
- It looks like something I'd pick up to read more
Columns: Strongly disagree · Disagree · Neutral · Agree · Strongly agree
Q05
Text Highlight
Below is the back-of-package copy. Please highlight any words or phrases that are confusing, and separately note (in your mind) anything that makes you more interested in buying. (Template note: replace with your own back-of-pack copy before launching.)
Made with 100% real ingredients, this snack is crafted in small batches for maximum flavor. Non-GMO, gluten-free, and packed with 8g of plant-based protein per serving. Certified sustainable packaging…
Q06
Best–Worst Trade-off (MaxDiff)Required
For each set, pick the package element that matters MOST to your decision to buy, and the one that matters LEAST.
- Color palette
- Logo size and placement
- Product photo or illustration
- Claims and callouts
- Sustainability messaging
- Price visibility
- Ingredient or nutrition info
- Overall shape or structure
Pick best & worst per setBest:Matters mostWorst:Matters least
Q07
Point AllocationRequired
You have 100 points to allocate across what a great package should prioritize. Spend more points on what matters more to you.
- Visual appeal
- Information clarity
- Brand recognition
- Sustainability cues
- Standing out from competitors
Allocate 100 points
Q08
Opinion ScaleRequired
Based on the package alone (not the product itself), how likely would you be to buy this?
Scale: 0 – 10
Min:Not at all likelyMax:Extremely likely
Q09
Multiple Choice
Compared to (Replace with current package or Competitor A's package), which would you be more likely to pick up?
- This new package
- The current/competitor package
- No difference for me
Q10
AI Interview
Reconstruct the respondent's split-second decision-making process when looking at this package: what drew their eye first, whether the package told them what the product is and why it's worth buying, and what — if anything — created hesitation or confusion. Anchor on their purchase-likelihood score: if it was low, probe exactly what would need to change on the package to move them; if they highlighted confusing text, ask what specifically threw them off and how they'd reword it.
Q11
Multiple Choice
How often do you currently buy products in this category?
- Weekly or more
- A few times a month
- A few times a year
- Rarely or never
- Prefer not to say
Q12
Multiple Choice
Which age range best describes you?
- 18-24
- 25-34
- 35-44
- 45-54
- 55-64
- 65+
- Prefer not to say
Q13
Multiple Choice
Which gender do you identify with?
- Woman
- Man
- Non-binary
- Prefer to self-describe
- Prefer not to say
Q14
Message
Thank you for your feedback! Your reactions and priorities will directly shape refinements to this package design before it goes to market.
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
- Includes a text-highlight exercise where respondents mark specific words/phrases on back-of-package copy that feel confusing or compelling — most templates only ask general clarity ratings.
- Uses a best-worst (MaxDiff) trade-off to force respondents to reveal which package elements actually matter most to their buy decision, rather than rating everything as important.
- Pairs a constant-sum allocation (100 points across design priorities) with an AI follow-up interview that reconstructs the split-second shelf decision to buy or pass, giving both quantitative priority weights and qualitative reasoning.
- Adds a direct comparison question against the current package or a named competitor's package, plus category purchase-frequency and demographic screens, so shelf standout is measured in context, not isolation.
SurveyMonkey
Package Testing Survey TemplateA ready-to-field template specifically built for package testing, covering the same general territory as ours (shelf reaction, purchase intent). It's a static question set with fixed scales and options rather than an adaptive interview. Good baseline coverage for teams that just need quick quantitative reads.
What it does well
- Purpose-built for package testing, so questions are pre-aligned to shelf/purchase-decision use cases
- Fielding-ready template on an established survey platform with broad respondent panel access
- Simple, familiar question formats that are quick for respondents to complete
Where it falls short
- No adaptive AI follow-up to probe why a respondent noticed or ignored a specific design element
- No voice AI interview or guided screen-share task option for richer shelf-decision reconstruction
- No automated per-response quality scoring or transparent prompt methodology published
SurveySparrow
Logo Testing Survey TemplateThis template focuses specifically on logo perception rather than full package/shelf performance, so it's a narrower, adjacent tool rather than a direct substitute. It's a static, conversational-style survey rather than a fielding tool with adaptive interviewing. Useful if the need is isolated logo feedback, not shelf standout or purchase-intent trade-offs.
What it does well
- Conversational, chat-like question flow that SurveySparrow is known for, which can feel friendlier than a standard form
- Focused specifically on logo reactions, useful for narrow brand-mark testing
- Fielding-ready template, no build required
Where it falls short
- Scope limited to logo elements, not full package design, shelf context, or purchase-decision trade-offs
- No adaptive AI follow-up or voice interview to explore reasoning behind reactions
- No automated quality scoring or transparent prompt disclosure
Ready to launch?
Open this template in the editor. Every part is yours to change before the first respondent sees it.
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