QuestionPunkQuestionPunk
무료로 시작하기
모든 템플릿

Online Retailer Shopping Experience Evaluation Survey

Measures how customers rate an online retailer on price, selection, site experience, shipping, and service, plus what drives loyalty versus defection to a competitor. An AI follow-up interview reconstructs the specifics of a recent order to explain the ratings instead of leaving them as abstract scores.

이 템플릿 사용하기템플릿 더 둘러보기

샘플 질문

템플릿에 포함된 내용을 미리 확인해 보세요. 모든 질문은 설문 공개 전에 자유롭게 수정할 수 있습니다.

질문 14개 · 약 7분
Q01
메시지

Thanks for sharing your feedback on your recent shopping experience! This will take about 8 minutes and helps us understand what's working and what's not. Your responses are completely confidential and anonymized. There are no right or wrong answers — honest feedback is what helps most.

Q02
객관식필수

In the last 6 months, how often have you made a purchase from this retailer?

  • This was my first purchase
  • 1-2 times
  • 3-5 times
  • 6 or more times
Q03
객관식

How did you make your most recent purchase?

  • Website on a computer
  • Mobile website
  • Mobile app
  • In-store, but ordered online for pickup
  • Phone or chat with a representative
Q04
의견 척도필수

Overall, how satisfied were you with your most recent order?

척도: 1 – 7
최소:Very dissatisfied최대:Very satisfied
Q05
매트릭스필수

How would you rate this retailer on each of the following?

6개 행 × 5개 열
  • Price competitiveness
  • Product selection and variety
  • Website or app ease of use
  • Shipping speed
  • Return or exchange process
  • 외 1개
열: Poor · Fair · Good · Very Good · Excellent
Q06
최선·최악 선택형(MaxDiff)필수

When deciding where to shop online, which of these factors matter most and least to you?

  • Price
  • Shipping speed and cost
  • Product selection and variety
  • Return and exchange policy
  • Website or app ease of use
  • Customer reviews and ratings
  • Customer service quality
  • Loyalty or rewards program
세트별 최선·최악 선택최선:Most important최악:Least important
Q07
의견 척도필수

How likely are you to recommend this retailer to a friend or colleague?

척도: 0 – 10
최소:Not at all likely최대:Extremely likely
Q08
AI 인터뷰

Reconstruct the respondent's most recent order in concrete detail — what they bought, what went right or wrong at each step (browsing, checkout, shipping, delivery, returns), and how that experience shaped their satisfaction and recommendation scores. If they gave a low score, pin down the single moment that most hurt the experience and what specifically would need to change to raise it. If they gave a high score, probe whether that's typical or a standout exception.

Q09
객관식필수

Thinking about your next purchase of this type, what's most likely?

  • Definitely will keep shopping here
  • Probably will keep shopping here
  • Not sure — might compare with (Replace with competitor A)
  • Probably will switch to a competitor
  • Definitely will switch to a competitor
Q10
장문형

What's the one thing this retailer could do to improve your experience?

Q11
객관식

What is your age range?

  • Under 18
  • 18-24
  • 25-34
  • 35-44
  • 45-54
  • 55-64
  • 65 or older
  • Prefer not to say
Q12
객관식

What is your gender?

  • Woman
  • Man
  • Non-binary
  • Prefer to self-describe
  • Prefer not to say
Q13
드롭다운

What is your annual household income?

  • Under $25,000
  • $25,000-$49,999
  • $50,000-$74,999
  • $75,000-$99,999
  • $100,000-$149,999
  • $150,000 or more
  • Prefer not to say
Q14
메시지

That's everything — thank you for the detailed feedback! Your responses will feed directly into a report the retailer's team uses to fix friction points and improve the shopping experience.

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 satisfaction and NPS scores by using an AI follow-up interview to reconstruct the specifics of the respondent's most recent order — what they bought, how the process went, and why they rated it the way they did.
  • Combines standard quantitative measures (purchase frequency, channel used, satisfaction, a ratings matrix across price/selection/site/shipping/service, and a MaxDiff on shopping priorities) with open-ended context that explains the numbers instead of leaving them abstract.
  • Captures forward-looking loyalty signals (likelihood to repurchase, likelihood to recommend) alongside a direct improvement question, giving both a diagnosis and a lever for action.
  • Closes with demographic questions (age, gender, income) for segmentation, framed by transparent chat messages that set expectations at the start and close of the survey.

QuestionPro

Online Retailer Evaluation Survey Template

A fielding-ready template covering standard retailer evaluation metrics like pricing, selection, and service. It's a conventional static survey builder template rather than an interview-style tool, so all questions are fixed in advance. Good for quick deployment but doesn't adapt based on individual responses.

잘하는 점

  • Ready-to-field template with established survey-platform infrastructure
  • Likely covers core retailer evaluation dimensions (price, selection, service)
  • Backed by a mature survey platform with reporting tools

아쉬운 점

  • No adaptive AI follow-up to probe into a specific recent order — ratings stay abstract
  • No per-response quality scoring
  • No published methodology or transparent prompt logic

Jotform

Online Shopping Evaluation Form Template

This is a form-builder template, closer to a customizable data-collection form than a research-grade survey instrument. It's easy to edit and deploy but is built for simple field capture, not structured behavioral or attitudinal research. No interview or conversational follow-up capability is present.

잘하는 점

  • Highly customizable drag-and-drop form fields
  • Easy to embed or share as a standalone form
  • Simple setup for basic feedback collection

아쉬운 점

  • Static form fields only — no adaptive follow-up questioning
  • No automated quality scoring of responses
  • No mechanism to reconstruct order-level detail behind a rating

SurveyMonkey

Online Shopping Survey: Questions & Template

Presented partly as a question bank/guide alongside a template, focused on shopping attitudes broadly rather than a single retailer's performance specifically. Useful as a starting question list, but it is a static, pre-set survey rather than a dynamic interview experience.

잘하는 점

  • Established survey platform with broad question-bank guidance
  • Covers general online shopping attitudes and behavior
  • Backed by strong reporting and analytics tooling

아쉬운 점

  • No adaptive AI interview to dig into a specific recent order
  • No voice-based or guided-task response options
  • No transparent prompt-level methodology published

SurveySparrow

Online Shopping Survey Template

A conversational-style survey template that presents questions in a chat-like UI, which improves completion experience over plain forms. However, the conversational format is scripted rather than adaptive — it doesn't generate follow-up questions based on what a respondent actually says.

잘하는 점

  • Conversational chat-style UI for a friendlier respondent experience
  • Ready-made template for online shopping feedback
  • Mobile-friendly presentation

아쉬운 점

  • Conversational UI is not the same as adaptive AI follow-up questioning — flow is pre-scripted
  • No automated per-response quality scoring
  • No reconstruction of order-level specifics behind satisfaction scores

설문을 공개할 준비가 되셨나요?

이 템플릿을 편집기에서 열어 보세요. 첫 응답자가 보기 전에 모든 부분을 원하는 대로 바꿀 수 있습니다.

Use this template무료로 시작하기