Customer Experience

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.

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샘플 질문

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질문 13개 · 약 7분

Q01

메시지

Hi! We're trying to understand who our typical customer really is and what drives their decisions. Your responses are completely confidential and anonymized. This should take about 6 minutes, and there are no wrong answers — we just want the honest picture.

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

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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 Template

A 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 Template

This 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 Template

SurveySparrow'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 Template

Typeform 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

자주 묻는 질문