Brand Pulse: Attribute Perception Tracker
Tracks how your brand is perceived on key attributes like trust, quality, and value, and identifies which of those attributes actually drive choice through a best-worst trade-off exercise. An AI follow-up interview digs into the story behind the respondent's lowest-rated attribute. Built for brand and marketing teams running recurring pulse checks.
샘플 질문
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Which of the following brands have you heard of before today, even if you've never used them? (Replace with your brand and competitor set — Template note: keep your brand in the list so awareness can be benchmarked.)
- (Your Brand)
- (Competitor A)
- (Competitor B)
- (Competitor C)
Overall, how favorable is your impression of (Your Brand)?
How well does (Your Brand) embody each of the following?
- Innovative
- Trustworthy
- High quality
- Good value for money
- Customer-focused
- 외 1개
When choosing a brand in this category, which of these attributes matters most to you, and which matters least?
- Innovative
- Trustworthy
- High quality
- Good value for money
- Customer-focused
- Easy to do business with
How likely are you to recommend (Your Brand) to a friend or colleague?
Which brand do you consider the strongest alternative to (Your Brand)? (Replace with your actual competitor set.)
- (Competitor A)
- (Competitor B)
- (Competitor C)
- I don't have an alternative in mind
Identify the attribute the respondent rated lowest in the attribute grid and probe the specific experience, story, or belief behind that rating — ask for a concrete example if they can recall one. Then explore whether that low rating has ever affected an actual purchase decision or recommendation, not just their opinion. If every attribute was rated similarly high or low, ask what would need to change for their overall favorability to shift a full point.
Just a couple of quick optional questions to help us understand the group of people responding.
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
How do you describe your gender?
- Woman
- Man
- Non-binary
- Prefer to self-describe
- Prefer not to say
That's everything — thank you! Your responses feed directly into our brand tracking report and help shape where we invest to improve perception.
포함된 기능
AI 후속 질문
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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
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이 템플릿을 선택하는 이유
- Includes a best-worst (max-diff) trade-off exercise so you learn which attributes actually drive choice, not just how they're rated
- An AI follow-up interview automatically identifies each respondent's lowest-rated attribute and probes the story behind it — no manual follow-up needed
- Combines a full attribute matrix (trust, quality, value) with favorability and recommend-likelihood scores to give a rounded perception snapshot
- Adds brand awareness and 'strongest alternative' competitive questions plus optional demographics, feeding into auto-generated reports for recurring pulse tracking
SurveyMonkey
Brand Pulse Survey: Attributes TemplateA ready-to-field template covering brand attribute perception, similar in concept to ours but built on a traditional static survey engine. Good if you just need standard rating questions without deeper qualitative follow-up. Backed by SurveyMonkey's broad distribution and benchmarking tools.
잘하는 점
- Established platform with large respondent panel and distribution options
- Quick to deploy with pre-built attribute rating questions
- Likely offers benchmark/normative data across industries
아쉬운 점
- No adaptive AI interviewing to probe why an attribute was rated poorly — responses stay at the rating level
- No apparent best-worst/trade-off exercise to isolate which attributes actually drive choice
- No transparent prompt methodology or automated quality scoring of open-ended responses
Jotform
Brand Perception Survey Form TemplateA generic, highly customizable form template for capturing brand perception data rather than a purpose-built attribute-driver tracker. Strong for quick form building and integrations, but the structure is a static questionnaire. Best suited to teams wanting flexible form design over research rigor.
잘하는 점
- Drag-and-drop form builder with broad customization
- Wide integration ecosystem for routing responses
- Fast to set up for basic perception questions
아쉬운 점
- No adaptive AI follow-up interviewing — all questions are fixed, not respondent-specific
- No trade-off/max-diff mechanism to identify which attributes drive choice
- No automated per-response quality scoring or transparent AI methodology
SurveySparrow
Brand Perception Survey TemplateA conversational-style brand perception template that presents questions in a chat-like flow, which improves completion experience over plain forms. It covers standard perception metrics but relies on scripted branching rather than true adaptive interviewing. Good fit for teams prioritizing UX over deep qualitative probing.
잘하는 점
- Conversational, chat-like interface that can boost completion rates
- Pre-built brand perception question set
- Reporting dashboards for tracking responses over time
아쉬운 점
- Branching is rule-based, not adaptive AI follow-up tied to each respondent's lowest-rated attribute
- No built-in best-worst trade-off exercise to identify attribute importance
- No disclosed prompt-level methodology or automated response quality scoring
Typeform
Brand Perception Survey TemplateA polished, conversational survey template well-suited for embedding on websites or sharing directly, with Typeform's signature one-question-at-a-time design. It captures general brand perception metrics but is a static instrument without adaptive qualitative probing. Works well for lightweight brand checks rather than in-depth driver analysis.
잘하는 점
- Clean, conversational one-question-at-a-time UI
- Easy embedding and sharing across channels
- Simple logic jumps for basic branching
아쉬운 점
- No adaptive AI interview to explore the reasoning behind a respondent's lowest attribute rating
- No max-diff or trade-off question type to determine which attributes actually drive choice
- No automated report generation tied to attribute-driver analysis or quality scoring
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