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Marketing Chatbot Experience & Effectiveness Survey

Measures how well your website or marketing chatbot resolves visitor questions, builds trust, and moves people toward a purchase or signup. An AI follow-up interview reconstructs the respondent's most recent chatbot conversation in detail, surfacing exactly where it helped or broke down. Built for marketing and CX teams evaluating a live chatbot deployment.

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샘플 질문

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

질문 12개 · 약 7분
Q01
메시지

Hi! You recently chatted with our website chatbot, and we'd love your honest feedback on that experience. Your responses are completely confidential and anonymized. This will take about 7 minutes.

Q02
객관식필수

What were you trying to do when you started chatting with the bot?

  • Get product or pricing information
  • Troubleshoot a problem
  • Track an order or check status
  • Book, schedule, or sign up for something
  • Just exploring or curious
  • Reach a human agent
Q03
의견 척도필수

How well did the chatbot understand what you were asking?

척도: 1 – 5
최소:Didn't understand at all최대:Understood perfectly
Q04
매트릭스필수

Thinking about that conversation, how much do you agree with each statement?

4개 행 × 5개 열
  • It answered my question quickly
  • The tone felt natural, not robotic
  • It knew when to hand me off to a human
  • I trusted the information it gave me
열: Strongly disagree · Disagree · Neutral · Agree · Strongly agree
Q05
객관식필수

Did the chatbot fully resolve what you needed?

  • Yes, fully resolved
  • Partially resolved
  • Not resolved at all
  • I gave up before finishing
Q06
평점 척도필수

Overall, how satisfied were you with that chatbot interaction?

범위: 1 – 5
최소:Very dissatisfied최대:Very satisfied
Q07
객관식

What did you do right after the chat ended?

  • Made a purchase or completed the signup
  • Requested to speak with a human agent
  • Left the site without acting
  • Came back later to try again
  • Contacted support through another channel
Q08
AI 인터뷰

Reconstruct the respondent's most recent chatbot conversation step by step: what they typed or clicked, how the bot responded, and the exact moment their satisfaction rating was earned or lost. If they said the issue was 'partially resolved' or they 'gave up,' probe precisely what the bot got wrong and what a human agent would have done differently. If they said it was fully resolved, ask what specifically made it feel efficient versus a generic FAQ page.

Q09
의견 척도필수

How likely are you to use this chatbot again instead of calling or emailing support?

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

Rank these ways of getting help, from most to least preferred, for a question like the one you had.

  1. Website chatbot
  2. Phone call with a person
  3. Live chat with a person
  4. Email support
  5. Self-service help articles
드래그하여 순위 지정
Q11
객관식

Which age range do you fall into?

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

Thanks so much for the detailed feedback! We'll use your responses, along with others, to fix what's frustrating and improve how our chatbot handles conversations like yours.

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 a dedicated AI follow-up interview that reconstructs the respondent's most recent chatbot conversation step by step, surfacing exactly where it helped or broke down — not just a satisfaction score
  • Combines structured measurement (opinion scale on comprehension, matrix of agreement statements, resolution question, overall rating) with open reconstruction of the actual conversation
  • Captures downstream behavior and channel preference — what the respondent did right after the chat ended, likelihood to reuse the bot vs. calling/emailing support, and a ranked comparison of help channels
  • Opens and closes with plain-language chat messages that set expectations and thank respondents, keeping the flow conversational rather than form-like

SurveySparrow

Digital Marketing Chatbot

This is a fielding-ready template specifically built around chatbot experience, making it the closest direct comparison to our survey. It likely uses SurveySparrow's conversational form format with standard question types and branching logic. It does not appear to include any AI-driven reconstruction of the actual chatbot conversation or automated scoring of individual responses.

잘하는 점

  • Purpose-built for chatbot experience feedback rather than a generic marketing survey
  • Conversational, chat-style UI consistent with SurveySparrow's product design
  • Quick to deploy for teams wanting a straightforward satisfaction/feedback form

아쉬운 점

  • Relies on static, pre-written questions with no adaptive AI follow-up to probe deeper into what actually happened in the conversation
  • No indication of automated per-response quality scoring or an auto-generated analytical report
  • No published methodology or prompt transparency for how responses are structured or interpreted

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