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Online Video & Streaming Viewing Habits Survey

Captures how people discover, choose, and feel about the online video and streaming content they watch — device usage, time spent, value perceptions, and decision drivers — with an AI follow-up that digs into the real story behind a recent subscription decision.

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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 taking part! We'd like to understand your online video and streaming habits — what you watch, where, and why. This should take about 5-6 minutes, and there are no right or wrong answers.

Q02
Multiple ChoiceRequired

Which of these video or streaming platforms have you used in the past 30 days?

  • YouTube
  • Netflix
  • Amazon Prime Video
  • Disney+
  • TikTok
  • Twitch
  • (Replace with a regional/local platform)
Q03
NumberRequired

On average, how many hours per week do you spend watching online video (streaming services, YouTube, and short-form social video combined)?

Q04
Opinion ScaleRequired

How satisfied are you with the video recommendations you get on the platform you use most?

Scale: 1 – 5
Min:Not satisfied at allMax:Extremely satisfied
Q05
MatrixRequired

How much do you agree with each statement about your online video viewing experience?

5 rows × 5 columns
  • The ads I see are relevant to me
  • It's easy to find something worth watching
  • I can pick up where I left off across devices
  • The picture and sound quality meets my expectations
  • I'm getting good value for what I pay
Columns: Strongly disagree · Disagree · Neutral · Agree · Strongly agree
Q06
Point AllocationRequired

Thinking about a typical week, how does your viewing time split across these content types? Please allocate 100 points total.

  • Movies
  • TV series/episodic shows
  • Short-form clips (under 5 min)
  • Live streams
  • Sports
  • Documentaries/educational
Allocate 100 points
Q07
Best–Worst Trade-off (MaxDiff)Required

Which of these matter most vs. least when you're deciding what to watch next?

  • Personalized recommendations
  • Reviews or ratings from other viewers
  • Recommendations from friends or family
  • Trending or 'popular now' lists
  • Continuing a show I already started
  • New releases
  • Ability to watch ad-free
  • Subscription price
  • Content available in my language
Pick best & worst per setBest:Matters mostWorst:Matters least
Q08
Multiple ChoiceRequired

Which device do you use most often for watching online video?

  • Smart TV
  • Smartphone
  • Laptop or desktop computer
  • Tablet
  • Streaming device (e.g., Roku, Chromecast, Fire TV)
  • Game console
Q09
Rating Scale

How would you rate the overall value for money of the streaming subscription you pay for most?

Range: 1 – 5
Min:Poor valueMax:Excellent value
Q10
AI Interview

Reconstruct the respondent's most recent decision to keep, switch, or cancel a streaming subscription: what triggered them to reconsider, which alternatives they weighed, and what ultimately tipped the decision. If they rated value for money low, probe exactly which costs or content gaps drove that. If they haven't considered switching, ask what would have to change for them to reconsider.

Q11
Multiple Choice

What is 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

What is your gender?

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

That's everything — thank you for sharing your viewing habits! Your answers will feed into a report on how people discover and value online video content.

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

  • Goes beyond static questions with an AI follow-up interview that reconstructs the real story behind a respondent's most recent decision to keep, switch, or cancel a subscription
  • Combines standard quantitative measures (platform usage, hours per week, satisfaction, value-for-money rating) with trade-off methods like constant sum and max-diff to reveal what actually drives viewing choices
  • Every response can be automatically quality-scored, and prompts used in the AI follow-up are transparent rather than a black box
  • Auto-generated reports turn device, demographic, and decision-driver data into a ready-to-share summary without manual analysis

SurveyMonkey

Online Video Viewing Survey Template

A directly comparable fielding-ready template covering online video viewing habits. It relies on standard closed-ended question types and SurveyMonkey's established survey infrastructure. No adaptive follow-up questioning is offered — respondents answer the same fixed question set regardless of their answers.

What it does well

  • Well-known, easy-to-deploy survey platform with broad distribution options
  • Template is purpose-built for the same topic (online video viewing)
  • Familiar interface likely to yield high completion rates

Where it falls short

  • No adaptive AI follow-up to probe the reasoning behind a specific subscription decision
  • No automated per-response quality scoring
  • No voice AI interview option

SurveySparrow

Online Video Viewing Survey Template | Audience Insights

Another directly relevant template on the same topic, positioned for audience insights/marketing use cases. It offers a conversational-style survey format, but this is scripted branching rather than true AI-generated follow-up questions. No mention of voice-based interviewing or automated scoring of open-ended responses.

What it does well

  • Conversational UI style that can feel more engaging than a plain form
  • Marketing-oriented template framing suited to audience research
  • Part of a broader survey platform with distribution and reporting tools

Where it falls short

  • No adaptive AI interview that dynamically reconstructs a respondent's decision story
  • No voice AI interview capability
  • No transparent prompt methodology or automated quality scoring published

Ready to launch?

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

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