Q01
메시지
모든 템플릿
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.
샘플 질문
템플릿에 포함된 내용을 미리 확인해 보세요. 모든 질문은 설문 공개 전에 자유롭게 수정할 수 있습니다.
질문 13개 · 약 7분
Q02
객관식필수
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
숫자필수
On average, how many hours per week do you spend watching online video (streaming services, YouTube, and short-form social video combined)?
Q04
의견 척도필수
How satisfied are you with the video recommendations you get on the platform you use most?
척도: 1 – 5
최소:Not satisfied at all최대:Extremely satisfied
Q05
매트릭스필수
How much do you agree with each statement about your online video viewing experience?
5개 행 × 5개 열
- 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
열: Strongly disagree · Disagree · Neutral · Agree · Strongly agree
Q06
점수 배분필수
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
100점 배분
Q07
최선·최악 선택형(MaxDiff)필수
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
세트별 최선·최악 선택최선:Matters most최악:Matters least
Q08
객관식필수
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
평점 척도
How would you rate the overall value for money of the streaming subscription you pay for most?
범위: 1 – 5
최소:Poor value최대:Excellent value
Q10
AI 인터뷰
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
객관식
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
객관식
What is your gender?
- Woman
- Man
- Non-binary
- Prefer to self-describe
- Prefer not to say
Q13
메시지
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.
포함된 기능
AI 후속 질문
정형화된 설문이 놓치는 세부 내용을, 주관식 답변에 맞춰 AI가 심층 질문으로 끌어냅니다.
주의력 확인 장치
성의 없는 답변과 저품질 응답자를 걸러내는 내장 안전장치입니다.
AI가 작성한 문안
문구, 질문 순서, 분기 로직까지 AI가 연구 목표에 맞춰 작성합니다.
자동 리포트
응답이 모이면 주요 주제, 인용문, 이해하기 쉬운 요약이 자동으로 작성됩니다.
다른 서비스와 비교
다른 설문 도구의 가장 유사한 템플릿을 검토했습니다. 그 도구들이 잘하는 점과, 이 템플릿이 한발 더 나아가는 지점을 정리했습니다.
이 템플릿을 선택하는 이유
- 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 TemplateA 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.
잘하는 점
- 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
아쉬운 점
- 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 InsightsAnother 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.
잘하는 점
- 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
아쉬운 점
- 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
설문을 공개할 준비가 되셨나요?
이 템플릿을 편집기에서 열어 보세요. 첫 응답자가 보기 전에 모든 부분을 원하는 대로 바꿀 수 있습니다.