Live Chat vs. Async Messaging: Support Channel Preference Survey
Measures customer preferences, satisfaction, and response-time expectations across live chat and asynchronous messaging channels to guide support channel investment and design decisions.
Sample questions
A preview of what’s in the template. Every question is editable before you launch.
Have you contacted customer support for any product or service in the past 12 months?
- Yes
- No
How satisfied are you with your overall experience using live chat for customer support?
Overall, which type of support channel do you prefer?
For live chat, what is the longest you would wait for a first reply from a human agent?
- Less than 1 minute
- 1–2 minutes
- 3–5 minutes
- 6–10 minutes
- 11–15 minutes
- More than 15 minutes
Think of a recent customer support interaction. How did the channel you used (e.g., live chat, async messaging, phone) affect the outcome—positively or negatively?
What is your age group?
- 18–24
- 25–34
- 35–44
- 45–54
- 55–64
- 65+
- Prefer not to say
Thank you for completing this survey. Your responses will help us improve customer support experiences. All answers are confidential and will be reported only in aggregate.
In the past 12 months, which of the following customer support channels have you used? Select all that apply.
- Live chat (real-time typing with an agent)
- Async messaging (e.g., SMS, WhatsApp, in-app messages)
- Email support
- Phone call
- Social media DM
- Support forum or community
- In-app chatbot only
- Other (please specify)
How satisfied are you with your overall experience using async messaging (e.g., SMS, WhatsApp, in-app) for customer support?
If you could use only one channel for most of your support needs, which would you choose?
- Live chat
- Async messaging
- Phone call
- No strong preference
For async messaging (e.g., SMS, WhatsApp, in-app), what is the longest you would consider an acceptable wait for a first reply?
- Less than 30 minutes
- 30 minutes to 1 hour
- 1–2 hours
- 2–4 hours
- 4–8 hours
- 8–24 hours
- More than 24 hours
Based on your experiences, what one change would most improve live chat or async messaging support for you?
How do you describe your gender?
- Woman
- Man
- Non-binary
- Prefer not to say
When you contact customer support, what is usually your primary goal?
- Get a quick answer to a simple question
- Resolve a complex or ongoing issue
- Get a status update or follow-up
- Make an account or billing change
- Report a problem or bug
- Other (please specify)
Please rank the following support attributes from most important (top) to least important (bottom) to you.
- Speed of first reply
- Getting my issue fully resolved
- Being able to multitask during the conversation
- Not having to repeat information
- 24/7 availability
Which region best describes where you currently live?
- Africa
- Asia
- Europe
- North America
- South America
- Oceania
- Middle East
- Prefer not to say
Which device do you most often use when contacting customer support?
- Smartphone
- Laptop or desktop
- Tablet
- I use multiple devices equally
- Prefer not to say
Imagine you have a quick, simple question for support (e.g., checking a return policy). Which channel would you prefer?
- Live chat
- Async messaging
- Phone call
- No preference
Now imagine you have a complex issue that may require multiple back-and-forth exchanges (e.g., a billing dispute). Which channel would you prefer?
- Live chat
- Async messaging
- Phone call
- No preference
What’s included
AI follow-ups
Adaptive probes on open-ended answers that pull out detail a static form would miss.
Attention checks
Built-in safeguards against rushed answers and low-quality respondents.
AI-drafted copy
Wording, ordering, and branching written by the AI — tuned to your research goal.
Auto report
Themes, quotes, and a plain-English summary write themselves once responses come in.
How it compares
We reviewed the closest templates from other survey tools. Here’s what they do well — and where this template goes further.
Why this template
- Includes an AI follow-up interview question that adaptively probes on the respondent's most recent support experience, going beyond fixed-choice ratings
- Directly compares live chat and async messaging using paired opinion-scale satisfaction items and channel-specific wait-time-tolerance dropdowns, rather than treating support as a single undifferentiated category
- Uses a ranking exercise to surface which support attributes (speed, resolution, tone, etc.) respondents value most, giving weighted insight beyond simple satisfaction scores
- Combines quantitative filters (channel used, device, goal, demographics) with an open-text improvement question and an AI interview for qualitative depth, then auto-generates a report from both
SurveySparrow
Customer Support Chatbot TemplateThis template is focused specifically on chatbot interactions rather than a live-chat-vs-async-messaging comparison, so it covers a narrower slice of the channel-preference question. It's a ready-to-field static form built for quick satisfaction capture after a bot interaction. Useful as a single-channel pulse check but not designed to weigh channel tradeoffs.
What it does well
- Purpose-built for chatbot-specific feedback capture
- Likely quick to deploy for a single support touchpoint
- Fits SurveySparrow's broader conversational-survey format
Where it falls short
- Appears limited to chatbot experiences rather than comparing multiple channels like live chat vs async messaging
- No adaptive AI follow-up interview to probe why a respondent felt a certain way
- No published methodology or prompt transparency for how questions were derived
SurveyMonkey
Customer Support Satisfaction Survey TemplateA general-purpose customer support satisfaction template that likely covers overall support quality rather than a dedicated live-chat-vs-async-messaging comparison. It's a solid fielding-ready static survey for broad satisfaction tracking. It doesn't appear built to isolate channel-specific expectations like reply-time tolerance per channel.
What it does well
- Well-established, easy-to-deploy static template
- Broad applicability across support satisfaction use cases
- Backed by SurveyMonkey's large-scale survey infrastructure
Where it falls short
- No indication of channel-by-channel comparison (e.g., wait-time thresholds for live chat vs async)
- Static question set with no adaptive AI interview or voice interview option
- No per-response quality scoring or transparent prompt methodology
QuestionPro
Customer Support Service Evaluation Survey TemplateThis template evaluates customer support service broadly, which overlaps with our topic but doesn't appear focused on comparing live chat and async messaging specifically. It's a standard fielding-ready form suited for general service evaluation. It likely lacks the channel-preference depth (ranking attributes, per-channel wait tolerance) our template targets.
What it does well
- Ready-to-use static template for general support evaluation
- Fits within QuestionPro's broader enterprise survey suite
- Likely includes standard satisfaction and NPS-style questions
Where it falls short
- No evident channel-specific comparison between live chat and async messaging
- No adaptive AI follow-up or voice AI interview capability
- No transparent prompt design or automated quality scoring per response
Frequently asked questions
What questions are in the “Live Chat vs. Async Messaging: Support Channel Preference Survey” template?
The template includes 20 ready-to-use questions, starting with: “Welcome! This survey explores your experiences and preferences with customer support channels—specifically live chat and…” · “Have you contacted customer support for any product or service in the past 12 months?” · “How satisfied are you with your overall experience using live chat for customer support?”. The full set is previewed above, and every question is editable.
How long does this survey take to complete?
Respondents typically finish the 20 questions in about 9 minutes.
Can I customize this template?
Yes — every question, answer option, and the ordering is editable before you launch. You can add or remove questions, or ask the AI editor to rework the survey around your research goal.
Is this template free to use?
Yes. Open it in the editor and start customizing right away — no account required to try it, and the free plan covers launching your survey.
Ready to launch?
Open this template in the editor. Every part is yours to change before the first respondent sees it.
Related templates
More studies on similar topics.
Knowledge Base Content Effectiveness Survey
Measures article findability, clarity, completeness, and task-completion outcomes for knowledge base users. Use to identify content gaps and prioritize help center improvements.
View templateSMS 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.
View templateCustomer Contact & Support Channel Experience Survey
Captures how customers actually reach you for help, how easy and effective that contact was, and which channels they'd pick again — with an AI follow-up that reconstructs their most recent support interaction in detail instead of relying on vague satisfaction ratings.
View templateSocial Media Customer Support Experience Survey
Measures how well your brand's support holds up on social channels — response speed, resolution, agent tone — for customers who reached out via Twitter/X, Facebook, Instagram, or DM. An AI follow-up reconstructs the actual conversation thread to surface what closed loops fast and what left customers hanging.
View templateMarketing 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.
View templateClient Contact & Communication Preferences Survey
Measures how satisfied clients are with the frequency, channel, and responsiveness of your team's contact, and what they actually want more or less of. Built for client-facing teams in agencies, consulting, and professional services who want to catch communication breakdowns before they cause churn. The AI follow-up interview reconstructs one specific recent contact experience instead of vague complaints.
View template