SMS Customer Support Satisfaction & Channel Preference Survey
Evaluates customer satisfaction, resolution effectiveness, response time perceptions, and channel preferences for two-way SMS support interactions, providing actionable insights to optimize text-based service delivery.
샘플 질문
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In the past 6 months, have you used two-way SMS (text messaging) for customer support?
- Yes
- No
- Not sure
Approximately how many SMS support conversations have you had in the past 6 months?
- 1
- 2–3
- 4–6
- 7–10
- More than 10
Thinking about your most recent SMS support interaction, how satisfied are you with the overall experience?
If you needed customer support again, how likely would you be to choose SMS?
Based on your responses in this survey, what could be improved about the SMS support experience, and what worked particularly well?
What is your age group?
- Under 18
- 18–24
- 25–34
- 35–44
- 45–54
- 55–64
- 65+
- Prefer not to say
Thank you for completing this survey! Your feedback will be used to improve SMS customer support experiences. If you have any questions about this research, please contact the research team.
How did your most recent SMS support conversation begin?
- I texted the company first (using a published number or short code)
- The company texted me first (e.g., after I requested help online)
- I started on a website or app and it transitioned to SMS
- A phone agent invited me to switch to SMS
- Other (please specify)
How easy was it to explain your issue or request via SMS?
On a scale of 0 to 10, how likely are you to recommend SMS support to a friend or colleague?
We'd like to understand more about your SMS support experience. An AI moderator will ask a few brief follow-up questions based on your earlier answers.
In which country or region do you currently live?
- United States
- United Kingdom
- Canada
- Australia
- Germany
- France
- India
- Brazil
- Mexico
- Japan
- Other (please specify)
What were you trying to accomplish via SMS support? Select all that apply.
- Get a status update (order, delivery, appointment)
- Troubleshoot a product or service issue
- Change or cancel an order or appointment
- Billing or payments question
- Account verification or security check
- Password or account access help
- General product or service question
- Schedule or reschedule an appointment
- Other (please specify)
How clear and helpful were the agent's responses?
Please rank the following support channels from most preferred (1) to least preferred (6) for resolving a straightforward issue.
- SMS / text messaging
- Phone call
- Live chat on website or app
- Messaging app (e.g., WhatsApp, Facebook Messenger)
- In-app automated assistant or chatbot
How do you describe your gender identity?
- Woman
- Man
- Non-binary
- Prefer not to say
How would you rate the agent's courtesy and professionalism?
Was your issue fully resolved through SMS?
- Yes, completely
- Partially
- No
- Not applicable
What was the typical response time from the support agent during your most recent SMS conversation?
- Under 1 minute
- 1–2 minutes
- 3–5 minutes
- 6–10 minutes
- 11–30 minutes
- More than 30 minutes
- Not sure / it varied
포함된 기능
AI 후속 질문
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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
- Purpose-built for SMS support specifically, with a dropdown on how the recent SMS conversation was initiated and a dropdown capturing perceived agent response time — details generic support surveys don't isolate.
- Includes a dedicated ranking question comparing SMS against other support channels (phone, email, chat, etc.), directly measuring channel preference rather than satisfaction alone.
- Uses multiple distinct opinion-scale items (satisfaction, ease of explaining the issue via text, clarity of agent responses, courtesy) to give a granular breakdown of what drives SMS support quality, not just one overall score.
- Adds an AI follow-up interview after the structured questions to adaptively probe respondents' open-ended SMS experiences, plus an open-text improvement question and NPS-style recommend/likely-to-reuse scales for deeper actionable insight than a static form allows.
SurveyMonkey
Customer Support Satisfaction Survey TemplateA general customer support satisfaction template, not specific to SMS or channel comparison. It's a fielding-ready static form aimed at broad support-quality feedback, backed by SurveyMonkey's large template library and distribution tools.
잘하는 점
- Well-established survey platform with broad distribution and analysis tooling
- Simple, quick-to-deploy general support satisfaction template
- Large template library for benchmarking against other survey types
아쉬운 점
- No SMS-specific or channel-preference questions
- Static question set with no adaptive AI follow-up probing
- No published methodology or prompt transparency since it isn't AI-driven
QuestionPro
Customer Support Service Evaluation Survey TemplateA general support-service evaluation template covering typical satisfaction and resolution questions. It's a static, fielding-ready form rather than an SMS-focused or adaptive interview experience.
잘하는 점
- Established enterprise survey platform with analytics and reporting features
- Covers standard service-evaluation dimensions (resolution, professionalism)
- Part of a broad template library for quick deployment
아쉬운 점
- No SMS channel focus or channel-preference ranking
- Fixed question set with no adaptive AI follow-up interview
- No transparent AI prompt methodology since responses aren't AI-probed
Typeform
Customer Service Satisfaction Survey Form TemplateA general customer service satisfaction form using Typeform's conversational one-question-at-a-time UI. It's a static, well-designed form rather than a channel-specific or AI-adaptive survey.
잘하는 점
- Polished, conversational one-question-at-a-time interface
- Good for lightweight, high-completion general satisfaction surveys
- Easy embedding and branding customization
아쉬운 점
- No SMS or channel-preference-specific questions
- No adaptive AI follow-up or voice interview capability, only fixed question flow
- No automated per-response quality scoring or AI-generated analysis report
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