Q01
메시지
모든 템플릿Market Research
Conjoint Analysis: Package & Price Trade-Off Study
A choice-based conjoint that shows respondents realistic product profiles built from attributes and levels — plan tier, price, support, contract terms — and measures which combinations win. AI follow-ups capture the reasoning behind choices that a choice matrix alone can't explain.
샘플 질문
템플릿에 포함된 내용을 미리 확인해 보세요. 모든 질문은 설문 공개 전에 자유롭게 수정할 수 있습니다.
질문 7개 · 약 5분
Q02
객관식필수
Which best describes your involvement in buying tools like this?
- I make the final purchase decision
- I recommend or shortlist options
- I influence requirements as a user
- I'm not involved in purchasing
Q03
드롭다운
What is your approximate annual budget for this category of software?
- Under $1,000
- $1,000–$5,000
- $5,000–$25,000
- $25,000–$100,000
- Over $100,000
- I don't know
Q04
질문필수
Which of these packages would you choose?
Q05
가격 민감도(Van Westendorp)필수
Now, thinking about the package you preferred, a few questions about price.
- At what monthly price would it be so cheap you'd question the quality?
- At what monthly price would it feel like a bargain?
- At what monthly price would it start to feel expensive, but you'd still consider it?
- At what monthly price would it be too expensive to consider?
Q06
AI 인터뷰
Probe the trade-offs behind the respondent's package choices: which attribute they anchored on first, what the price told them about quality, which level differences they ignored entirely, and what would need to be true for them to move up one price tier. If they chose the cheapest option every time, explore whether that reflects budget limits or low perceived differentiation.
Q07
메시지
Done — thank you! Your choices feed a utility model that shows which attributes actually drive willingness to pay.
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
- Choice-based conjoint and Van Westendorp pricing run in one flow, so trade-offs and price thresholds come from the same respondents
- An AI interviewer probes which attribute each buyer anchored on and what would move them up a tier — context a utility model alone can't give
- Buyer-role and budget screeners are included for segment-level analysis out of the box
- Transparent methodology: every attribute, level, and prompt is inspectable for replication
QuestionPro
Conjoint Analysis SurveyA thorough conjoint feature page covering multiple experimental designs (random, D-optimal, SPSS import) and a five-section statistical report including attribute importance, market simulation, brand premium, and price elasticity. It leans on a smartphone example and choice-based vs adaptive distinctions, making it one of the more complete methodology pages, though setup remains researcher-driven.
잘하는 점
- Offers real experimental designs (random, D-optimal, and SPSS design import) rather than a fixed grid
- Ships a five-part analysis report: attribute importance, profiles, market simulation, brand premium, and price elasticity
- Includes a market simulator to forecast share for hypothetical product/price configurations
- Distinguishes choice-based from adaptive conjoint and gives a concrete smartphone attribute example
아쉬운 점
- No adaptive AI follow-up to understand why a respondent rejected a profile, so trade-off reasoning is inferred only statistically
- No voice or conversational administration of the choice tasks
- Requires researcher fluency in attributes, levels, and design types; no guided plain-language setup or auto-generated narrative
- Analysis is delivered as statistical tables the user must interpret rather than a written insights report
Qualtrics
Getting Started with Conjoint ProjectsQualtrics' guided conjoint project walks users through a five-step flow (define features/levels, preview/edit, distribute, analyze, package simulation) and covers pricing, benefits, and software-packaging use cases. It is a structured project type rather than a static template, but it is gated behind a paid add-on and requires an account executive purchase plus JavaScript permissions.
잘하는 점
- Guided five-step project flow from defining features and levels through to package simulation
- Built-in package simulator to model how bundles and prices shift predicted choice
- Covers a range of trade-off use cases: product features, price sensitivity, employee benefits, software packaging
- Purpose-built project type with prebuilt logic rather than a raw survey a user assembles by hand
아쉬운 점
- No conversational or AI follow-up on choices; respondents only click preferred profiles
- Locked behind a paid add-on requiring an account executive purchase, so the template is not freely usable
- Requires enabling JavaScript and specific permissions; setup is technical, not plain-language
- No voice administration and no auto-written insight narrative described in the flow
QuestionPro
Conjoint Analysis Survey TemplateA genuine conjoint template curated by QuestionPro's research team (retirement-housing example) that can be customized to other categories. One of the few real conjoint templates on the market, though the worked example is domain-specific and adapting attributes is left to the user.
잘하는 점
- Real choice-based conjoint structure from a specialist research platform
- Customizable questionnaire reviewed by market research experts
- Pairs with QuestionPro's conjoint analysis tooling
아쉬운 점
- Single-domain worked example; translating attributes and levels to your category is manual
- No AI follow-ups to capture the reasoning behind choices
- No integrated Van Westendorp pricing check in the same flow
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