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Movie Viewing Habits & Platform Preferences Survey

Tracks how often people watch movies, which formats and platforms they use, and what drives their viewing choices — built for studios, streaming services, and theater chains. An AI follow-up interview reconstructs the decision journey behind a respondent's most recent movie, surfacing friction points closed questions miss.

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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 joining! This is a quick survey about your movie-watching habits — how, where, and why you watch what you watch. It takes about 8 minutes and there are no wrong answers.

Q02
Multiple ChoiceRequired

In the last 30 days, how often did you watch a movie (in a theater or at home)?

  • Not at all
  • 1-2 times
  • 3-5 times
  • 6-10 times
  • More than 10 times
Q03
Multiple ChoiceRequired

Which formats have you used to watch movies in the last 3 months?

  • Movie theater
  • Streaming subscription service (e.g. Netflix, Max)
  • Digital rental or purchase (e.g. Prime Video, Apple TV)
  • Physical media (DVD/Blu-ray)
  • Free ad-supported streaming (e.g. Tubi, Pluto TV)
  • Broadcast or cable TV
Q04
Ranking

Rank these factors by how much they influence which movie you choose to watch, from most to least influential.

  1. Reviews and critic ratings
  2. Genre
  3. Cast or director
  4. Trailer
  5. Recommendation from friends or family
  6. Personalized algorithm recommendation
  7. Price or availability
Drag to rank
Q05
Best–Worst Trade-off (MaxDiff)Required

When choosing a streaming service or theater, which of these matter most versus least to you?

  • Price or subscription value
  • Variety of available content
  • Exclusive or original movies
  • Ease of navigating the app or site
  • Quality of personalized recommendations
  • Video and audio quality
  • Ability to download and watch offline
  • Minimal or no ads
Pick best & worst per setBest:Matters mostWorst:Matters least
Q06
Opinion ScaleRequired

How satisfied were you with the last movie-watching experience you had, overall?

Scale: 1 – 7
Min:Very dissatisfiedMax:Very satisfied
Q07
Opinion ScaleRequired

How likely are you to recommend the platform or theater you use most for movies to a friend?

Scale: 0 – 10
Min:Not at all likelyMax:Extremely likely
Q08
AI Interview

Walk the respondent through the last movie they watched: how they decided on it, what almost made them pick something else or give up, and whether the actual experience matched what they expected going in. If they mentioned low satisfaction or switching formats/platforms often, dig into the specific moment things went wrong (buffering, price, bad recommendation, etc.) and what would have fixed it.

Q09
Point AllocationRequired

Thinking about a typical month, how would you split $100 of entertainment spending across these categories?

  • Movie theater tickets
  • Streaming subscriptions
  • Digital rental or purchase
  • Physical media
  • Other entertainment
Allocate 100 points
Q10
Multiple ChoiceRequired

In the last 12 months, how many times have you gone to a movie theater?

  • Never
  • 1-2 times
  • 3-5 times
  • 6-10 times
  • More than 10 times
Q11
Message

Just two quick optional questions to help us understand who's answering — feel free to skip either.

Q12
Multiple Choice

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
Q13
Multiple Choice

How do you describe your gender?

  • Woman
  • Man
  • Non-binary
  • Prefer to self-describe
  • Prefer not to say
Q14
Message

All done — thank you! Your answers will feed into a report on evolving movie-viewing habits and platform preferences.

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 the decision journey behind a respondent's most recent movie, surfacing friction points that closed-ended questions miss
  • Combines quantitative measures (ranking, max-diff, constant-sum budget split, opinion scales) with an open-ended AI interview for context on satisfaction and likelihood to recommend
  • Covers both frequency/format habits and platform-choice drivers in one flow, with optional demographic questions kept separate and clearly marked optional
  • Ends with an automated report, so studios, streaming services, and theater chains get synthesized findings rather than raw response dumps

SurveyMonkey

Movie Survey Template

A fielding-ready static template covering general movie/TV viewing habits, built on SurveyMonkey's established survey infrastructure. It relies on standard closed-ended question types rather than any adaptive follow-up. Good for quick benchmarking but not for probing individual decision journeys.

What it does well

  • Established, widely-used survey platform with broad distribution options
  • Ready-to-use template requiring no custom setup
  • Likely supports standard analytics/charting for closed-ended responses

Where it falls short

  • No adaptive AI follow-up to probe why a respondent chose a specific movie or platform
  • No published methodology or prompt transparency since questions are fixed, not AI-generated
  • No automated qualitative synthesis — reporting is limited to standard chart/tabulation output

SurveySparrow

Movie Survey Template | Gather Audience Feedback Easily

A conversational-style static template for gathering movie/TV viewing feedback, filed under SurveySparrow's events category. It emphasizes a chat-like respondent experience but the questions themselves are pre-set rather than adaptively generated. Suitable for quick audience pulse checks rather than deep decision-journey research.

What it does well

  • Conversational UI style may improve completion rates versus traditional form layouts
  • Ready-to-field template with no build time needed
  • Positioned for audience feedback, which fits general viewing-habit questions

Where it falls short

  • Chat-like interface simulates conversation but doesn't adapt questions based on prior answers
  • No AI-driven follow-up interview or voice interview option
  • No per-response quality scoring or automated analytical report generation

QuestionPro

Movie rental survey questions + sample questionnaire template

This is a narrower questionnaire focused specifically on movie rental behavior rather than broader viewing habits and platform preferences across theater and streaming. It reads as a sample template/question bank rather than a fully tailored, ready-to-field survey for studios or streaming services. Useful as a question-writing reference but limited in scope for modern multi-platform viewing research.

What it does well

  • Focused specifically on rental-related questions, which could suit niche rental-business use cases
  • Presented as a sample questionnaire, giving question-writing guidance
  • Part of a broader established survey-template library

Where it falls short

  • Scope is centered on rental rather than the full theater/streaming/format landscape
  • No adaptive AI interview to explore the reasoning behind a respondent's last viewing choice
  • No automated report generation or per-response quality scoring built into the template

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

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