Marketing Claims and Messaging Testing Survey
Tests how believable, relevant, and differentiating your candidate marketing claims are, using a best-worst trade-off to force priority among competing lines and an AI follow-up that digs into why the top claim landed or fell flat. Built for brand, product marketing, and comms teams validating messaging before a campaign launch.
샘플 질문
템플릿에 포함된 내용을 미리 확인해 보세요. 모든 질문은 설문 공개 전에 자유롭게 수정할 수 있습니다.
Read the claim below and highlight any words or phrases that stand out to you, whether positive or negative.
(Replace with candidate claim 1, e.g. 'The only planner that adapts to your day in real time.') (Template note: replace with your own claim text before launching.)
How believable is this claim?
How relevant is this claim to your own needs?
Now here's a second version of the claim, describing the same product a different way.
Again, highlight any words or phrases that stand out to you.
(Replace with candidate claim 2, e.g. 'Finally, a planner smart enough to keep up with you.') (Template note: replace with your own claim text before launching.)
How believable is this second claim?
How relevant is this second claim to your own needs?
Across all the claims you've seen (plus a few more), which best describe what makes this product worth choosing, and which fall flattest?
- (Replace with claim A)
- (Replace with claim B)
- (Replace with claim C)
- (Replace with claim D)
- (Replace with claim E)
- (Replace with claim F)
Which single claim would most make you want to learn more about this product?
- (Replace with claim A)
- (Replace with claim B)
- (Replace with claim C)
- (Replace with claim D)
Does any claim you saw feel exaggerated, confusing, or hard to trust?
- (Replace with claim A)
- (Replace with claim B)
- (Replace with claim C)
- (Replace with claim D)
Focus on the claim the respondent picked as most convincing (or flagged as confusing/exaggerated). Ask them to put in their own words what they think the claim is actually promising, whether they'd expect the product to deliver on it, and what proof or detail would make them trust it more. If they flagged a claim as exaggerated, probe exactly which word or phrase triggered that reaction and whether a softer version would still be compelling.
Based on everything you read, how likely would you be to consider this product?
Which age range are you in?
- Under 25
- 25-34
- 35-44
- 45-54
- 55-64
- 65 or older
- Prefer not to say
That's everything — thank you! Your reactions will directly shape which claims we keep, revise, or drop before launch.
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 best-worst max-diff exercise that forces respondents to prioritize among multiple competing claims rather than rating each in isolation
- Pairs believability and relevance opinion-scale ratings for each claim with a highlight task to see exactly which words or phrases land
- Uses an AI follow-up interview that automatically probes why the respondent's top-picked (or most confusing) claim worked or didn't, going beyond static rating data
- Ends with an automated report and transparent prompts, so marketing and comms teams can see both the scores and the reasoning behind them before a campaign launch
SurveyMonkey
Messaging/claims Testing Survey TemplateThis is a direct, fielding-ready template for testing marketing claims and messaging, matching QuestionPunk's use case closely. It's a static questionnaire built around rating scales and closed-ended items rather than adaptive dialogue. SurveyMonkey's broad panel and analytics ecosystem make it a natural point of comparison.
잘하는 점
- Purpose-built specifically for claims/messaging testing, not a generic survey
- Backed by SurveyMonkey's established survey distribution and analytics tools
- Likely includes standard rating and ranking question types suited to messaging comparisons
아쉬운 점
- No adaptive AI follow-up to ask respondents why a claim landed or fell flat
- No voice AI interview option or guided screen-share tasks
- No published per-response quality scoring or transparent prompt methodology
Typeform
Product Concept Testing Survey TemplateThis template targets concept testing broadly rather than claims/messaging trade-off testing specifically, so it's adjacent rather than a like-for-like match. It's a static, conversational-style form rather than a true adaptive interview. Useful for teams validating a product concept, but not built around forced-choice claim prioritization.
잘하는 점
- Typeform's conversational UI format tends to feel more engaging than plain grid surveys
- Good for early-stage concept reactions rather than fine-grained claim comparison
- Easy to customize visually for brand-consistent fielding
아쉬운 점
- No best-worst/max-diff mechanism to force priority among competing claims
- No adaptive AI follow-up interview or voice AI option to dig into open-ended reactions
- No automated quality scoring or auto-generated analysis report
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