Entertainment Chatbot Engagement & Satisfaction Survey
Measures how often people use an entertainment chatbot (companionship, roleplay, humor, storytelling), what keeps them coming back, and where the experience falls flat — with an AI follow-up that reconstructs a specific memorable conversation to surface what actually made it feel fun, believable, or disappointing. Built for product and content teams shipping character or entertainment-focused AI experiences.
Sample questions
A preview of what’s in the template. Every question is editable before you launch.
In a typical week, how often do you chat with (Replace with chatbot name)? (Template note: insert the specific product name before launch.)
- Daily or almost daily
- A few times a week
- About once a week
- A few times a month
- Less often than that
- This is my first time using it
What do you typically use it for? Select all that apply.
- Casual conversation or companionship
- Roleplay or character interaction
- Jokes and humor
- Storytelling or creative writing
- Games or trivia
- Killing time or boredom
- Something else
Thinking about your conversations in the last 7 days, how entertaining were they overall?
How well does each statement describe your experience with the chatbot?
- It has a distinct, likeable personality
- It's genuinely funny or witty
- It remembers things from earlier in our conversation
- Its responses feel fresh rather than repetitive
- It reacts naturally to what I say, not just generic replies
How would you rate the quality of your most recent conversation with it?
Which of these improvements would make the biggest difference to your enjoyment? Pick the most and least important each round.
- Better memory of past conversations
- More humor and personality
- Faster response times
- Voice or audio replies
- More personalization to my interests
- Less repetitive or generic responses
- More variety in stories or roleplay scenarios
- Ability to customize the character's personality
Ask the respondent to describe one specific recent conversation with the chatbot that stood out — either because it was especially fun and memorable, or because it fell flat or felt frustrating. Probe what exactly the chatbot said or did that created that reaction, whether it felt human-like or scripted, and what they wished it had done differently. If they can't recall a specific conversation, ask what usually makes a session feel worthwhile versus a waste of time.
How likely are you to recommend this chatbot to a friend looking for something similar?
How likely are you to keep using it over the next month?
- Definitely will keep using it
- Probably will
- Not sure
- Probably will stop
- Definitely will stop
What's your age range?
- Under 18
- 18-24
- 25-34
- 35-44
- 45-54
- 55-64
- 65 or older
- Prefer not to say
How do you describe your gender?
- Woman
- Man
- Non-binary
- Prefer to self-describe
- Prefer not to say
That's everything — thank you for sharing your experience! Your answers, including your AI follow-up conversation, go directly to the team shaping what this chatbot says and does next.
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 that asks the respondent to reconstruct one specific recent conversation, surfacing concrete detail on what made it entertaining, believable, or disappointing — not just a rating.
- Combines quantitative signals (weekly usage frequency, entertainment opinion scale, matrix experience statements, recent-conversation rating, likelihood to recommend and continue using) with qualitative depth in a single flow.
- Uses a MaxDiff exercise to force-rank which improvements would most move enjoyment, giving product teams a prioritized backlog rather than a vague wishlist.
- Opens and closes with plain-language chat messages framing the survey and disclosing that responses (including the AI follow-up) will be used to improve the chatbot, keeping the prompts transparent to respondents.
SurveySparrow
Entertainment ChatbotA ready-to-field template aimed at the same use case — gauging engagement and satisfaction with an entertainment chatbot. It's built on SurveySparrow's standard conversational-form format rather than an AI-driven interview, so depth comes from the number of fixed questions rather than adaptive probing. Good general-purpose starting point if you don't need follow-up depth on specific conversations.
What it does well
- Purpose-built for entertainment chatbot feedback rather than a generic satisfaction survey
- SurveySparrow's chat-style UI presentation fits a conversational, casual audience
- Likely quick to deploy with standard question types (ratings, choice, etc.)
Where it falls short
- No adaptive AI follow-up — every respondent gets the same fixed question set regardless of their answers
- No mechanism to reconstruct a specific memorable conversation for qualitative detail; likely limited to closed-ended scores
- No published automated quality scoring or prompt-level transparency for how responses are analyzed
Ready to launch?
Open this template in the editor. Every part is yours to change before the first respondent sees it.