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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.

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샘플 질문

템플릿에 포함된 내용을 미리 확인해 보세요. 모든 질문은 설문 공개 전에 자유롭게 수정할 수 있습니다.

질문 14개 · 약 7분
Q01
메시지

Thanks for taking a few minutes to react to a product package! Your responses are completely confidential and anonymized. There are no wrong answers — we want your honest, first-glance reactions. About 6 minutes. (Template note: show respondents the package image/mockup before the first question.)

Q02
의견 척도필수

Imagine this package sitting on a shelf next to similar products. How much does it stand out?

척도: 1 – 7
최소:Blends in completely최대:Impossible to miss
Q03
객관식필수

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
매트릭스필수

How much do you agree with each statement about this package?

5개 행 × 5개 열
  • 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
열: Strongly disagree · Disagree · Neutral · Agree · Strongly agree
Q05
텍스트 하이라이트

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
최선·최악 선택형(MaxDiff)필수

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
세트별 최선·최악 선택최선:Matters most최악:Matters least
Q07
점수 배분필수

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
100점 배분
Q08
의견 척도필수

Based on the package alone (not the product itself), how likely would you be to buy this?

척도: 0 – 10
최소:Not at all likely최대:Extremely likely
Q09
객관식

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 인터뷰

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
객관식

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
객관식

Which age range best describes you?

  • 18-24
  • 25-34
  • 35-44
  • 45-54
  • 55-64
  • 65+
  • Prefer not to say
Q13
객관식

Which gender do you identify with?

  • Woman
  • Man
  • Non-binary
  • Prefer to self-describe
  • Prefer not to say
Q14
메시지

Thank you for your feedback! Your reactions and priorities will directly shape refinements to this package design before it goes to market.

포함된 기능

  • AI 후속 질문

    정형화된 설문이 놓치는 세부 내용을, 주관식 답변에 맞춰 AI가 심층 질문으로 끌어냅니다.

  • 주의력 확인 장치

    성의 없는 답변과 저품질 응답자를 걸러내는 내장 안전장치입니다.

  • AI가 작성한 문안

    문구, 질문 순서, 분기 로직까지 AI가 연구 목표에 맞춰 작성합니다.

  • 자동 리포트

    응답이 모이면 주요 주제, 인용문, 이해하기 쉬운 요약이 자동으로 작성됩니다.

다른 서비스와 비교

다른 설문 도구의 가장 유사한 템플릿을 검토했습니다. 그 도구들이 잘하는 점과, 이 템플릿이 한발 더 나아가는 지점을 정리했습니다.

이 템플릿을 선택하는 이유

  • 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 Template

A 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.

잘하는 점

  • 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

아쉬운 점

  • 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 Template

This 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.

잘하는 점

  • 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

아쉬운 점

  • 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

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