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Interactive Story Engagement & Choice Satisfaction Survey

Measures how readers or players experienced a branching narrative — engagement, satisfaction with the choices offered, and pull toward replaying alternate paths. Built for interactive fiction studios, narrative game teams, and branching-content publishers, with an AI follow-up that reconstructs a specific choice moment to reveal whether decisions actually felt like they mattered.

Sample questions

A preview of what’s in the template. Every question is editable before you launch.

14 questions · ~7 min
Q01
Message

Thanks for going through the story with us! We'd love to hear how the experience felt and whether your choices seemed to matter. This should take about 8 minutes.

Q02
Multiple ChoiceRequired

Where did you experience (Replace with story title) — the interactive story we're asking about? (Template note: replace with your title/platform list before launching.)

  • Mobile app
  • Web browser
  • Interactive e-book / e-reader
  • VR or console game
  • In-person / live event
  • Other
Q03
Opinion ScaleRequired

How engaged did you feel while going through the story?

Scale: 110
Min:Not engaged at allMax:Completely absorbed
Q04
Multiple Choice

How many different endings or major story branches do you think you explored?

  • Just one
  • Two
  • Three or four
  • Five or more
  • Not sure — the branching wasn't clear
Q05
MatrixRequired

Rate the following elements of the story you experienced.

5 rows × 5 columns
  • Plot / overall storyline
  • Character depth
  • How much your choices affected the outcome
  • Pacing
  • Dialogue and writing quality
Columns: Poor · Below average · Average · Good · Excellent
Q06
Best–Worst Trade-off (MaxDiff)Required

For an interactive story like this, which of these matter most to your enjoyment, and which matter least?

  • Choices that meaningfully change the plot
  • Depth of character relationships
  • Surprising plot twists
  • Visual and audio design
  • Value in replaying for other paths
  • Overall length of the story
  • How hard the decisions are to make
Pick best & worst per setBest:Matters mostWorst:Matters least
Q07
Rating ScaleRequired

How satisfied were you with how much your choices actually shaped the story's outcome?

Range: 15
Min:Very dissatisfiedMax:Very satisfied
Q08
Opinion ScaleRequired

How likely are you to recommend this interactive story to a friend?

Scale: 010
Min:Not at all likelyMax:Extremely likely
Q09
AI Interview

Reconstruct one specific choice moment the respondent remembers clearly: what the decision was, what they expected to happen, and what actually happened next. Probe whether that moment felt like it truly changed the story or felt scripted regardless of their pick, and anchor on their emotional reaction. If they rated choice-impact low on the earlier rating, dig into which specific decision felt the most pointless.

Q10
Multiple Choice

Would you replay this story to see a different path or ending?

  • Yes, definitely
  • Maybe, if I had time
  • Probably not
  • No
Q11
Long Text

What's one thing you'd change about how the choices or branching worked?

Q12
Multiple Choice

How often do you engage with interactive stories, branching narrative games, or choice-based fiction?

  • Weekly or more
  • A few times a month
  • A few times a year
  • This was my first one
  • Prefer not to say
Q13
Multiple Choice

What's your age range? (optional)

  • Under 18
  • 18-24
  • 25-34
  • 35-44
  • 45-54
  • 55+
  • Prefer not to say
Q14
Message

That's everything — thank you for sharing your experience! Your answers will help us shape which choices and branches feel worth building 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 reconstructs one specific choice moment the respondent remembers, revealing whether decisions actually felt consequential — not just a static rating
  • Combines quantitative measures (opinion scale for engagement, rating for choice satisfaction, matrix for story elements, max-diff for enjoyment drivers) with open-ended probing in one flow
  • Captures replay intent and branch-exploration behavior alongside a long-text question on what respondents would change about the branching
  • Automated per-response quality scoring and an auto-generated report mean narrative teams get a readable summary without manually coding open-ended answers

SurveySparrow

Interactive Story Template | Choose Your Own Adventure

This is a fielding-ready template built around a choose-your-own-adventure survey format, aimed at event and marketing use cases rather than narrative/game studios specifically. It's a static question set with SurveySparrow's conversational UI styling, not an adaptive interview. Good for quick deployment, but it won't dig into why a specific choice felt meaningful.

What it does well

  • Purpose-built branching template with a conversational, story-like survey presentation
  • Likely quick to set up and customize given SurveySparrow's template library approach
  • Fits general choose-your-own-adventure use cases, not limited to any one industry

Where it falls short

  • No adaptive AI follow-up — cannot dynamically reconstruct or probe a specific choice moment a respondent remembers
  • No voice AI interview option or guided screen-share task capability
  • No published per-response quality scoring or transparent prompt methodology

Ready to launch?

Open this template in the editor. Every part is yours to change before the first respondent sees it.