Purchase Decision Journey & Evaluation Survey
Traces the full purchase journey — what triggered the search, which channels shoppers trusted, which criteria mattered most, and how they feel about the outcome. Built for product, marketing, and insights teams benchmarking their buying process. The AI follow-up rebuilds the exact moment the decision tipped, surfacing the near-miss competitor and friction points closed questions miss.
샘플 질문
템플릿에 포함된 내용을 미리 확인해 보세요. 모든 질문은 설문 공개 전에 자유롭게 수정할 수 있습니다.
What first prompted you to start looking for this purchase?
- A specific need or problem came up
- A recommendation from someone I trust
- An advertisement or promotion caught my attention
- My previous option stopped working or needed replacing
- A price drop or special offer
- Other
Which of these did you use to research your options? Select all that apply.
- Search engines / general online research
- The company's own website
- Online reviews or ratings sites
- Social media
- Word of mouth (friends, family, colleagues)
- In-store or in-person visit
- A sales representative or customer service
- Comparison or price-tracking sites
Including the option you ultimately chose, how many different brands or providers did you seriously consider?
For each set, pick which factor mattered most and which mattered least in your final decision.
- Price
- Product or service quality
- Brand reputation
- Customer service and support
- Ease of the ordering or purchase process
- Recommendations or reviews from others
- Availability or lead time
- Warranty or return policy
How would you rate each stage of your buying experience?
- Finding information about options
- Comparing prices and features
- Getting questions answered
- The actual purchase or checkout process
- Communication after the purchase
Overall, how difficult or easy was it to make your final decision?
How satisfied are you with the choice you ultimately made?
Thinking about (Replace with product/service name), please answer honestly based on what you'd expect to pay. (Template note: swap in your actual product/service name before launching.)
- At what price would (Replace with product/service name) be so inexpensive that you'd question its quality?
- At what price would it be a bargain — a great buy for the money?
- At what price would it start to feel expensive, though still worth considering?
- At what price would it be too expensive for you to consider buying?
Reconstruct the respondent's actual decision-making journey: which specific alternative they almost chose instead, what specifically tipped the scale toward their final choice, and at what point they felt most confident or most hesitant. If they rated the decision as difficult, dig into what information was missing or confusing; if they seriously considered only one option, ask what would have made them look at more.
Which age range do you fall into?
- Under 25
- 25-34
- 35-44
- 45-54
- 55-64
- 65+
- Prefer not to say
Which range best describes your household income?
- Under $30,000
- $30,000-$59,999
- $60,000-$99,999
- $100,000-$149,999
- $150,000+
- Prefer not to say
That's everything — thank you! Your answers feed into a report on where the buying journey works well and where prospects get stuck or nearly walk away.
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 an AI follow-up interview that reconstructs the exact moment the decision tipped, surfacing the near-miss competitor and friction points that closed questions can't capture
- Combines hard evaluation data (max-diff on decision factors, Van Westendorp pricing sensitivity, stage-by-stage matrix ratings) with the qualitative 'why' behind the choice
- Captures the full journey arc from trigger to research channels to satisfaction, plus demographic segmentation, in one guided flow
- Every AI probe is built on transparent, visible prompts and generates an automated report on buying friction, so insights teams don't have to hand-code open-ends
QuestionPro
Purchase Process and Evaluation Survey TemplateThis is a directly comparable, ready-to-field template covering the purchase process and post-purchase evaluation, making it the closest match to our template's scope. It relies on standard closed-ended question types typical of the QuestionPro library. As with most static survey builders, depth on 'why' comes from question design rather than live probing.
잘하는 점
- Purpose-built specifically for purchase process and evaluation research, so question flow is already aligned to that use case
- Backed by QuestionPro's mature survey platform with broad question-type support and established distribution/panel options
- Ready to field immediately as a template, reducing setup time
아쉬운 점
- No adaptive AI follow-up to probe why a specific alternative was rejected or where the decision actually tipped — respondents only answer what's pre-written
- No voice AI interview or guided screen-share task option for richer purchase-journey reconstruction
- No published per-response quality scoring or transparent prompt methodology, so it's unclear how depth or effort is judged
자주 묻는 질문
“Purchase Decision Journey & Evaluation Survey” 템플릿에는 어떤 질문이 포함되어 있나요?
바로 사용할 수 있는 질문 13개가 포함되어 있으며, 처음 질문은 다음과 같습니다: “Thanks for taking a few minutes to walk us through a recent purchase decision! Your responses are completely confidentia…” · “What first prompted you to start looking for this purchase?” · “Which of these did you use to research your options? Select all that apply.”. 전체 질문은 위에서 미리 볼 수 있고 모두 수정 가능합니다.
이 설문을 완료하는 데 얼마나 걸리나요?
응답자는 보통 질문 13개를 약 7분 안에 완료합니다.
템플릿을 수정할 수 있나요?
네. 설문을 공개하기 전에 모든 질문, 답변 옵션, 순서를 자유롭게 수정할 수 있습니다. 질문을 추가·삭제하거나 AI 편집기에 연구 목표에 맞춘 재구성을 요청할 수도 있습니다.
이 템플릿은 무료인가요?
네. 편집기에서 바로 열어 수정을 시작할 수 있습니다. 체험에는 계정이 필요 없으며, 무료 플랜으로 설문을 공개할 수 있습니다.
설문을 공개할 준비가 되셨나요?
이 템플릿을 편집기에서 열어 보세요. 첫 응답자가 보기 전에 모든 부분을 원하는 대로 바꿀 수 있습니다.
관련 템플릿
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