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Multi-Channel Customer Experience Consistency Survey

Measures how consistent and satisfying your customer experience is across channels — web, app, phone, chat, and in-store — and where customers hit friction switching between them. An AI follow-up interview digs into the specific moment a channel switch broke down, surfacing detail that closed-ended ratings alone miss.

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질문 13개 · 약 7분
Q01
메시지

Thanks for taking a few minutes to share your experience with us across the different ways you interact with us — website, app, phone, chat, in-store, etc. Your responses are completely confidential and anonymized. This will take about 5 minutes and your honest feedback helps us fix what's broken.

Q02
객관식필수

Which of these channels have you used to interact with us in the last 3 months?

  • Website
  • Mobile app
  • Phone support
  • Live chat
  • Email support
  • In-store / in-person
  • Social media
Q03
매트릭스필수

For each channel you've used, how would you rate your overall experience?

5개 행 × 6개 열
  • Website
  • Mobile app
  • Phone support
  • Live chat
  • In-store / in-person
열: Poor · Fair · Good · Very good · Excellent · Haven't used
Q04
의견 척도필수

How consistent is the information and service quality you get, regardless of which channel you use?

척도: 1 – 7
최소:Very inconsistent최대:Perfectly consistent
Q05
객관식필수

In the last 3 months, did you ever have to switch channels (e.g., start on chat, finish on the phone) to resolve the same issue?

  • Yes, and it went smoothly
  • Yes, and it was frustrating
  • No, I never had to switch
Q06
AI 인터뷰

If the respondent said switching channels was frustrating or rated consistency low, reconstruct exactly what happened: which two channels were involved, what information or context was lost between them, and whether they had to repeat themselves. If they rated consistency high, probe which channel they trust most and why, and whether any channel feels like the 'weak link' even so.

Q07
순위 매기기

Rank these channels from most to least preferred for getting help.

  1. Website
  2. Mobile app
  3. Phone support
  4. Live chat
  5. Email support
  6. In-store / in-person
드래그하여 순위 지정
Q08
점수 배분

If we had 100 points to invest in improving these channels, how would you split them based on where improvement would help you most?

  • Website
  • Mobile app
  • Phone support
  • Live chat
  • In-store / in-person
100점 배분
Q09
의견 척도필수

How likely are you to recommend us to a friend or colleague, based on your overall experience across channels?

척도: 0 – 10
최소:Not at all likely최대:Extremely likely
Q10
장문형

Anything else about your experience moving between our channels that we should know?

Q11
객관식

How long have you been a customer with us?

  • Less than 6 months
  • 6 months to 1 year
  • 1-3 years
  • More than 3 years
  • Prefer not to say
Q12
객관식

What is your age range?

  • Under 25
  • 25-34
  • 35-44
  • 45-54
  • 55-64
  • 65 or older
  • Prefer not to say
Q13
메시지

That's everything — thank you! Your responses will be combined with other customers' feedback to help us close the gaps between our channels and make every way of reaching us feel like the same great 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.

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이 템플릿을 선택하는 이유

  • Includes a matrix question rating experience separately for each channel used (web, app, phone, chat, in-store), not just one overall score.
  • When a respondent flags channel-switching as frustrating or rates consistency low, an AI follow-up interview automatically digs into the specific moment the handoff broke down — detail static ratings can't surface.
  • Combines a ranking question (channel preference) with a constant-sum allocation (how to invest improvement budget across channels) to give prioritization data alongside satisfaction data.
  • Closes with an NPS-style recommend question and an open long-text catch-all, so nothing about the cross-channel journey gets missed before demographic screening.

QuestionPro

Customer Multi-Mode Service Evaluation Survey Template

This is a ready-to-field template specifically built around evaluating service across multiple modes/channels, making it a direct topical match. It relies on QuestionPro's standard closed-question library rather than any conversational or adaptive probing layer. Good for quick deployment if you don't need deeper qualitative follow-up.

잘하는 점

  • Purpose-built for multi-channel/multi-mode service evaluation rather than generic CX
  • Backed by an established survey platform with broad distribution and reporting tools
  • Fielding-ready template, not just a guide

아쉬운 점

  • Static question set with no adaptive AI follow-up to probe why a specific channel switch failed
  • No automated per-response quality scoring called out
  • No voice AI interview option

SurveyMonkey

Customer Experience Survey Template & Questions

A broad, general-purpose CX template rather than one focused on cross-channel consistency or switching friction specifically. It's fielding-ready and benefits from SurveyMonkey's scale and familiarity, but the questions are generic closed-ended items you'd need to heavily customize for a multi-channel study.

잘하는 점

  • Widely used, easy-to-deploy general CX template
  • Backed by a large platform with established benchmarking norms
  • Simple setup for teams wanting a quick baseline CX pulse

아쉬운 점

  • Not designed around channel-switching moments or cross-channel consistency specifically
  • Static closed-ended format with no adaptive AI follow-up interview
  • No published methodology for how quality or sentiment is scored per response

SurveySparrow

Customer Experience Survey Template

A general CX template presented in SurveySparrow's conversational-style UI, which improves completion feel but is still a fixed script rather than an adaptive interview. It's fielding-ready but not tailored to multi-channel consistency or switch-point friction. Useful as a lightweight, engaging baseline survey.

잘하는 점

  • Conversational chat-style format that can boost respondent engagement
  • Fielding-ready, mobile-friendly template
  • Simple to launch for a general customer satisfaction pulse

아쉬운 점

  • Conversational UI is still a fixed script — no adaptive AI probing based on individual answers
  • No voice AI interview option or per-response quality scoring
  • Not structured around channel-by-channel comparison or switching moments specifically

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