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.
Sample questions
A preview of what’s in the template. Every question is editable before you launch.
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
How well did the chatbot understand what you were asking?
Thinking about that conversation, how much do you agree with each statement?
- 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
Did the chatbot fully resolve what you needed?
- Yes, fully resolved
- Partially resolved
- Not resolved at all
- I gave up before finishing
Overall, how satisfied were you with that chatbot interaction?
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
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.
How likely are you to use this chatbot again instead of calling or emailing support?
Rank these ways of getting help, from most to least preferred, for a question like the one you had.
- Website chatbot
- Phone call with a person
- Live chat with a person
- Email support
- Self-service help articles
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
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.
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 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 ChatbotThis 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.
What it does well
- 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
Where it falls short
- 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
Ready to launch?
Open this template in the editor. Every part is yours to change before the first respondent sees it.