모든 템플릿

Logo Design Testing & Brand Impression Survey

Captures gut-level reactions to a logo (or set of logo options): first impression, word associations, attribute fit, and relative preference — plus an AI follow-up that digs into which specific design element (color, shape, type, symbol) is actually driving the reaction. Built for brand, design, and marketing teams validating a new or refreshed mark before launch.

샘플 질문

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

질문 13개 · 약 7분
Q01
메시지

Thanks for taking a few minutes to react to a logo we're considering. Your responses are completely confidential and anonymized. There are no right or wrong answers here — your honest, gut-level reaction is exactly what's useful. This should take about 5 minutes.

Q02
메시지

Take a moment to look at the logo below, then answer with your first reaction rather than overthinking it. (Template note: replace this message with the actual logo image, or a link to it, before launching.)

Q03
의견 척도필수

What's your overall first impression of this logo?

척도: 17
최소:Very negative최대:Very positive
Q04
단문형

In a few words, what's the first thing that comes to mind when you look at this logo?

Q05
매트릭스필수

Thinking about the logo, how much do you agree it comes across as each of the following?

6개 행 × 5개 열
  • Modern
  • Trustworthy
  • Memorable
  • Professional
  • Unique
  • 외 1개
: Strongly disagree · Disagree · Neutral · Agree · Strongly agree
Q06
순위 매기기

If you were choosing between these logo options for this brand, rank them from most to least preferred.

  1. (Replace with Logo Option A)
  2. (Replace with Logo Option B)
  3. (Replace with Logo Option C)
드래그하여 순위 지정
Q07
최선·최악 선택형(MaxDiff)필수

Which of these words best and least describes the brand behind this logo?

  • Innovative
  • Trustworthy
  • Playful
  • Premium
  • Approachable
  • Outdated
  • Boring
  • Bold
세트별 최선·최악 선택최선:Most describes the brand최악:Least describes the brand
Q08
의견 척도필수

How confident are you that you could pick this logo out from a lineup of similar logos next week?

척도: 15
최소:Not confident at all최대:Extremely confident
Q09
객관식필수

Does this logo feel like it fits the kind of product or company you'd expect from this brand?

  • Yes, it fits perfectly
  • Somewhat, but something feels off
  • No, it feels mismatched
  • I'm not familiar enough with the brand to say
Q10
AI 인터뷰

Explore the reasoning behind the respondent's first impression and word association: ask which specific visual element — color, shape, typeface, or symbol — is driving that reaction. If their impression was negative or mixed, or they said the logo 'feels mismatched' with the brand, dig into what a better version would need to look like. If they ranked one logo option clearly above the others, ask what tipped the balance between them.

Q11
객관식

How familiar were you with this brand before today?

  • Never heard of it
  • Heard of it, never used it
  • Used it occasionally
  • Use it regularly
  • Prefer not to say
Q12
객관식

Which age range do you fall into?

  • Under 18
  • 18-24
  • 25-34
  • 35-44
  • 45-54
  • 55-64
  • 65 or older
  • Prefer not to say
Q13
메시지

Thanks so much for sharing your reactions! Your ratings and comments will go directly to the design team to help decide which logo direction best represents the brand.

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 guided first-impression flow (initial reaction, word association, attribute-fit matrix, and ranking/max-diff preference) so brand teams get both gut reaction and structured comparison data in one flow
  • Pairs quantitative logo-testing questions with an AI follow-up interview that probes which specific design element (color, shape, type, or symbol) is actually driving a respondent's reaction, something static question banks can't do
  • Captures brand-familiarity and demographic context alongside reactions so teams can segment results by prior exposure to the brand
  • Ends with a clear wrap-up message setting expectations that responses feed directly into the design decision, and results roll up into an auto-generated report rather than raw export files

SurveyMonkey

Logo Testing Survey Questions

A ready-to-field template built specifically for logo reaction testing, which is a direct match for this use case. It likely covers first impressions and basic preference questions but relies on fixed survey logic rather than adaptive probing. Positioned as a general-purpose survey tool template, not a design-research-specific product.

잘하는 점

  • Purpose-built logo testing template from an established survey platform
  • Likely benefits from SurveyMonkey's broad panel/distribution options for reaching test audiences
  • Simple to field quickly for teams already on SurveyMonkey

아쉬운 점

  • Static question set with no adaptive follow-up to probe why a design element drove a reaction
  • No stated mechanism for isolating which specific visual element (color, shape, symbol) caused an impression
  • No transparent prompt/methodology documentation for any AI-assisted elements

SurveySparrow

Logo Testing Survey Template | With Sample Questions

A conversational-style survey template aimed at logo testing with sample questions provided, making it directly comparable to this use case. It appears to emphasize a chat-like respondent experience but, like most template libraries, offers a fixed question set rather than dynamic branching based on responses. No indication of automated response quality scoring or design-element attribution.

잘하는 점

  • Conversational/chat-style survey format that may feel more engaging than a standard grid form
  • Sample questions provided as a starting point for logo testing
  • Part of a broader marketing template library, useful for teams standardizing survey workflows

아쉬운 점

  • No adaptive AI interview capability to dig deeper into which design element drove a respondent's reaction
  • No automated per-response quality scoring to flag low-effort or inconsistent answers
  • No auto-generated analysis report tying reactions back to specific design elements

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