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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.

13 questions · ~7 min
Q01
Message

Thanks for trying out our entertainment chatbot! We'd love to hear what's working and what isn't. This will take about 5 minutes, and your honest take — good or bad — helps us make it better.

Q02
Multiple ChoiceRequired

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
Q03
Multiple ChoiceRequired

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
Q04
Opinion ScaleRequired

Thinking about your conversations in the last 7 days, how entertaining were they overall?

Scale: 110
Min:Not entertaining at allMax:Extremely entertaining
Q05
MatrixRequired

How well does each statement describe your experience with the chatbot?

5 rows × 5 columns
  • 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
Columns: Strongly disagree · Disagree · Neutral · Agree · Strongly agree
Q06
Rating ScaleRequired

How would you rate the quality of your most recent conversation with it?

Range: 15
Min:DisappointingMax:Excellent
Q07
Best–Worst Trade-off (MaxDiff)Required

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
Pick best & worst per setBest:Would improve my experience mostWorst:Would improve my experience least
Q08
AI Interview

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.

Q09
Opinion ScaleRequired

How likely are you to recommend this chatbot to a friend looking for something similar?

Scale: 010
Min:Not at all likelyMax:Extremely likely
Q10
Multiple Choice

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
Q11
Multiple Choice

What's your age range?

  • Under 18
  • 18-24
  • 25-34
  • 35-44
  • 45-54
  • 55-64
  • 65 or older
  • Prefer not to say
Q12
Multiple Choice

How do you describe your gender?

  • Woman
  • Man
  • Non-binary
  • Prefer to self-describe
  • Prefer not to say
Q13
Message

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 Chatbot

A 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.