Q01
메시지
모든 템플릿
Typical Customer Profile and Decision Drivers Survey
Builds a clear picture of your typical customer — how they found you, why they chose you over alternatives, what they value most, and how they actually use your product day to day. An AI follow-up interview digs into the real story behind their top decision driver, giving teams building ideal customer profiles or refining positioning something more concrete than survey averages.
샘플 질문
템플릿에 포함된 내용을 미리 확인해 보세요. 모든 질문은 설문 공개 전에 자유롭게 수정할 수 있습니다.
질문 13개 · 약 7분
Q02
객관식필수
How did you first hear about (Replace with your company/product name)?
- Search engine
- Social media
- Recommendation from a friend or colleague
- Online ad
- Industry event or conference
- Content or blog post
Q03
객관식필수
What is the main reason you use (Replace with product name)?
- To save time on a specific task
- To reduce costs
- To solve a problem I couldn't solve any other way
- To improve the quality or accuracy of my work
- To collaborate better with my team
Q04
최선·최악 선택형(MaxDiff)필수
Which of these mattered most — and which mattered least — when you decided to start using (Replace with product name)?
- Price
- Ease of use
- Customer support quality
- Range of features
- Brand reputation
- Recommendation from someone I trust
- Integration with tools I already use
세트별 최선·최악 선택최선:Mattered most최악:Mattered least
Q05
의견 척도필수
How well does (Replace with product name) fit your day-to-day needs?
척도: 1 – 7
최소:Not a good fit at all최대:An excellent fit
Q06
객관식필수
In the last 30 days, how often have you used (Replace with product name)?
- Not at all
- Once or twice
- Weekly
- A few times a week
- Daily
Q07
매트릭스필수
How much do you agree with each statement about your experience?
4개 행 × 5개 열
- It fits into my existing workflow easily
- It does what I expected when I first signed up
- I'd recommend it to someone like me
- It's worth what I pay for it
열: Strongly disagree · Disagree · Neutral · Agree · Strongly agree
Q08
평점 척도
If you've contacted customer support, how would you rate that experience?
범위: 1 – 5
최소:Very poor최대:Excellent
Q09
점수 배분필수
You have 100 points to distribute across the ways you use (Replace with product name). Give more points to the uses that matter most to you. (Template note: replace these use cases with the ones relevant to your product before launching.)
- Day-to-day task management
- Reporting or analysis
- Team collaboration
- Client-facing work
- Personal productivity
100점 배분
Q10
AI 인터뷰
Explore the real story behind the respondent's top-ranked decision factor from the trade-off exercise: what specifically triggered it, what alternative they compared it against, and what almost stopped them from adopting the product. If their usage in the last 30 days was low or 'not at all', pivot to understanding what's blocking regular use instead of the original decision story.
Q11
객관식
Which age range do you fall into?
- Under 25
- 25-34
- 35-44
- 45-54
- 55-64
- 65 or older
- Prefer not to say
Q12
객관식
Which best describes your role?
- Individual contributor
- Manager
- Director or VP
- C-level executive
- Owner or founder
- Prefer not to say
Q13
메시지
That's everything — thank you for the detailed answers! We'll use these to build an accurate picture of our typical customer and sharpen how we serve people like you.
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
- Goes beyond static ranking questions with an AI follow-up interview that digs into the real story behind each respondent's top-ranked decision driver from the MaxDiff exercise, not just which option scored highest.
- Combines quantitative measures (opinion scale for product fit, matrix agreement statements, constant-sum point allocation across use cases) with qualitative depth in one flow, so teams get both the 'what' and the 'why'.
- Covers the full customer picture in one survey — discovery channel, primary use reason, usage frequency, support experience rating, and demographics/role — reducing the need to stitch together multiple studies.
- Automated quality scoring and an auto-generated report mean teams building ideal customer profiles get a usable summary, not just raw response exports to manually code.
SurveyMonkey
Typical Customer Analysis Survey TemplateA fielding-ready static template from a large, established survey library. Likely covers standard closed-ended questions on customer background and preferences, backed by SurveyMonkey's broad analytics and benchmarking tools. It's a fixed questionnaire rather than one that adapts based on individual answers.
잘하는 점
- Backed by a mature survey platform with strong reporting and benchmarking features
- Large template library suggests easy customization within a familiar builder
- Established brand trust for broad audience distribution
아쉬운 점
- No adaptive AI follow-up interview — every respondent sees the same fixed question set regardless of their answers
- No automated per-response quality scoring or transparent prompt methodology
- No voice AI interview option for richer qualitative capture
Jotform
Customer Interest Profile Form TemplateThis is a customer interest profile form, built on Jotform's drag-and-drop form builder rather than a dedicated survey logic engine. It's better suited to quick data capture than deep decision-driver analysis, and notes suggest it's a form template to customize, not a purpose-built research instrument.
잘하는 점
- Easy drag-and-drop customization typical of Jotform's builder
- Simple to deploy for quick lead/interest capture
- Wide integration options common to Jotform forms
아쉬운 점
- Form-style layout with no adaptive follow-up questioning based on responses
- No AI-driven interview or voice interview capability
- No built-in per-response quality scoring or automated analytical report
SurveySparrow
Customer Analysis Survey TemplateSurveySparrow's conversational-style UI makes this static template feel more engaging than a traditional form, and it likely covers typical customer analysis questions like source, usage, and satisfaction. However, the conversational tone is a UI pattern, not true adaptive intelligence that probes individual answers.
잘하는 점
- Conversational chat-style question flow improves respondent engagement
- Template designed specifically for customer analysis use cases
- Mobile-friendly presentation typical of SurveySparrow's format
아쉬운 점
- Conversational UI is scripted, not adaptive — it doesn't generate real follow-up questions based on what a respondent says
- No AI interview or voice AI interview functionality
- No transparent prompt methodology or automated quality scoring per response
Typeform
Customer Analysis Survey TemplateTypeform offers a visually polished, one-question-at-a-time template well-suited to customer analysis basics like source, satisfaction, and usage patterns. It's a strong static design experience, but the question set is fixed once published and doesn't probe deeper based on individual responses.
잘하는 점
- Polished, on-brand visual design and smooth one-question-at-a-time flow
- Good completion rates typical of Typeform's engaging format
- Straightforward customization within Typeform's builder
아쉬운 점
- No adaptive AI follow-up interview to explore individual respondents' top decision drivers
- No voice AI interview or guided screen-share task options
- No automated quality scoring or transparent prompt-level methodology
설문을 공개할 준비가 되셨나요?
이 템플릿을 편집기에서 열어 보세요. 첫 응답자가 보기 전에 모든 부분을 원하는 대로 바꿀 수 있습니다.