Voice of the Customer Experience & Loyalty Survey
Captures how customers rate your product, support, and value versus what actually drives their loyalty or churn risk. Combines a satisfaction and recommendation benchmark with a best-worst prioritization of improvement areas, plus an AI follow-up interview that digs into the story behind each score so you know exactly what to fix first.
샘플 질문
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Overall, how satisfied are you with your experience with us?
How likely are you to recommend us to a friend or colleague?
Please rate us on each of the following:
- Product or service quality
- Customer support responsiveness
- Value for the price
- Ease of doing business with us
- Clarity of communication
Which channel was your most recent interaction with us?
- Phone
- Live chat
- In-person / on-site
- Mobile or web app
- Company website
- Other
In the last 90 days, how many times have you contacted us for help or support?
- Never
- Once
- 2-3 times
- 4-6 times
- More than 6 times
If we could only improve two of these, which matter most and which matter least to you?
- Pricing and plans
- Product features
- Customer support responsiveness
- Onboarding and setup
- Proactive communication
- Reliability and uptime
- Ease of use
- Overall value for money
Probe the story behind the respondent's satisfaction and recommendation scores. If either score is low (satisfaction under 3 or recommendation under 7), find the specific moment or interaction that caused it, whether it was a one-off or a pattern, and what would need to change for the score to improve. If scores are high, find out what single thing they'd protect if we changed anything. Anchor on the improvement area they ranked most important and ask for a concrete recent example.
What's one thing we could do differently that would most improve your experience?
How likely are you to continue doing business with us over the next year?
- Definitely will not
- Probably will not
- Not sure
- Probably will
- Definitely will
Which best describes your role in the decision to use our product or service?
- Primary decision maker
- Influencer / recommender
- Day-to-day user, not involved in the decision
- Other
- Prefer not to say
How long have you been a customer?
- Less than 6 months
- 6 months to 1 year
- 1-2 years
- 3-5 years
- More than 5 years
- Prefer not to say
Thank you for sharing your feedback! We review every response to prioritize fixes and improvements, and a member of our team may follow up if you flagged something we can help with right away.
포함된 기능
AI 후속 질문
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주의력 확인 장치
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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
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이 템플릿을 선택하는 이유
- Pairs a satisfaction and recommendation benchmark (opinion scale + NPS-style question) with a matrix rating across specific service dimensions, so you get both a headline score and where it's breaking down
- Uses best-worst (max-diff) prioritization to force respondents to reveal which improvement areas actually matter most versus least, instead of letting everything score as 'important'
- Includes an AI follow-up interview that probes the story behind each respondent's satisfaction and recommendation scores, turning a number into a reason
- Adds context questions (most recent channel, support contact frequency, tenure, decision-making role) plus an open-ended improvement question and a forward-looking retention question, so churn risk and loyalty drivers can be segmented, not just averaged
Jotform
Voice of the Customer Survey Form TemplateA static, drag-and-drop VoC form template built for Jotform's form builder ecosystem. It's fielding-ready and easy to customize visually, but it's a fixed question set with no mechanism to dig into the 'why' behind any given score. Good for quick deployment, less suited to root-cause analysis.
잘하는 점
- Easy visual customization via Jotform's drag-and-drop builder
- Wide range of integrations and widget add-ons typical of Jotform templates
- Simple to embed and share across channels
아쉬운 점
- No adaptive follow-up questioning — every respondent sees the same fixed questions
- No voice-based interview option
- No per-response quality scoring or transparency into how responses are evaluated
SurveySparrow
Voice of Customer Survey TemplateSurveySparrow's conversational, chat-style survey format makes this VoC template feel more personal than a traditional form, and it's ready to field as-is. However, the conversational tone is scripted, not adaptive — it doesn't actually change based on what a respondent says.
잘하는 점
- Conversational, chat-like question flow improves completion rates
- Positioned for recurring/relationship NPS-style tracking
- Mobile-friendly presentation
아쉬운 점
- No genuine adaptive AI probing — the conversational feel is templated, not responsive to answers
- No voice AI interview capability
- No published methodology for how any scoring or analysis is derived
Typeform
Voice of the Customer Survey Form TemplateTypeform offers a polished, one-question-at-a-time VoC template known for strong design and respondent experience. It's a solid static template for gathering structured feedback, but like other form builders it can't ask a dynamic follow-up when a respondent gives a low score or an interesting comment.
잘하는 점
- Clean, high-conversion one-question-at-a-time design
- Strong brand reputation for respondent-friendly UX
- Broad integration ecosystem for routing responses
아쉬운 점
- No adaptive AI follow-up interview or voice interview option
- Fixed question logic — branching is rule-based, not AI-driven conversation
- No automated per-response quality scoring or transparent prompt methodology
SurveyMonkey
Customer Experience Survey Template & QuestionsSurveyMonkey's CX template draws on its long history in market research and includes benchmarking-style questions and reporting tools. It's a mature, fielding-ready static template, but it relies on standard survey logic rather than any AI-driven conversation with respondents.
잘하는 점
- Backed by SurveyMonkey's established survey methodology reputation
- Built-in analytics and reporting dashboards
- Large template library for related CX/NPS use cases
아쉬운 점
- No adaptive AI or voice interview to explore the reasoning behind scores
- Question set is static once fielded, with only basic skip logic
- No automated quality scoring of individual responses
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