Q01
메시지
모든 템플릿Industry-Specific
TV Award Show Predictions & Fan Sentiment Survey
Captures who fans predict will win at an upcoming TV award show, how closely they're following nominee buzz, and how confident they are in their picks — for entertainment brands, streamers, and media outlets sizing up viewership and social buzz. The AI follow-up interview digs into the reasoning behind a respondent's top prediction instead of just recording the guess.
샘플 질문
템플릿에 포함된 내용을 미리 확인해 보세요. 모든 질문은 설문 공개 전에 자유롭게 수정할 수 있습니다.
질문 13개 · 약 7분
Q02
객관식필수
Which upcoming TV award show are you following most closely right now?
- (Replace with Award Show A, e.g. Emmys)
- (Replace with Award Show B, e.g. Golden Globes)
- (Replace with Award Show C, e.g. Critics' Choice)
- Another show not listed
- I'm not really following any award show this season
Q03
객관식필수
How do you plan to experience the show this year?
- Watch the live broadcast start to finish
- Watch part of it live and catch the rest in clips
- Skip the broadcast but follow winner news and highlights after
- Not plan to engage with it at all
Q04
의견 척도필수
In the last 30 days, how often have you seen news, trailers, or social posts about this year's nominees?
척도: 1 – 5
최소:Never seen anything최대:Constantly, every day
Q05
순위 매기기필수
Rank these nominees from most to least likely to win Best Drama Series. (Template note: replace with this year's actual nominee list before launching.)
- (Nominee A)
- (Nominee B)
- (Nominee C)
- (Nominee D)
- (Nominee E)
드래그하여 순위 지정
Q06
점수 배분필수
Split 100 points across these Best Actor nominees based on how likely you think each is to win — give more points to your stronger picks. (Template note: replace with this year's actual nominee list.)
- (Nominee A)
- (Nominee B)
- (Nominee C)
- (Nominee D)
100점 배분
Q07
객관식
Which category's outcome are you most eager to see revealed?
- Best Drama Series
- Best Comedy Series
- Best Actor
- Best Actress
- Best Limited Series
- (Replace with another category relevant to this show)
Q08
AI 인터뷰
Ask the respondent about the single prediction they feel most confident about (their top pick for Best Drama Series or Best Actor) and probe what's actually driving that confidence — critical buzz, personal fandom, betting odds, a gut feeling, or something else. If they say it's 'just a guess' or express low confidence, ask what would need to be true for them to feel sure, and note whether their reasoning is evidence-based or purely emotional.
Q09
의견 척도필수
Overall, how confident are you that your top predictions this year will be correct?
척도: 1 – 10
최소:Not confident at all최대:Extremely confident
Q10
객관식
Where do you primarily get news or opinions about this year's nominees and predictions?
- Social media (X, TikTok, Instagram, etc.)
- Entertainment news sites or apps
- Podcasts or YouTube commentary
- Friends or family conversations
- Betting or prediction sites
- I don't seek this out
Q11
객관식
Which age range do you fall into?
- Under 18
- 18-24
- 25-34
- 35-44
- 45-54
- 55-64
- 65+
- Prefer not to say
Q12
객관식
How do you describe your gender?
- Woman
- Man
- Non-binary
- Prefer to self-describe
- Prefer not to say
Q13
메시지
That's a wrap — thanks for sharing your picks! We'll compare your predictions against the actual results and use the patterns here to understand what's fueling buzz and viewership this awards season.
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 recording a guess: the AI follow-up interview asks respondents to explain the reasoning behind the single prediction they're most confident about.
- Combines a ranking question for Best Drama Series contenders with a constant-sum allocation across Best Actor nominees, capturing both ordinal and weighted-confidence signals static surveys usually skip.
- Tracks how closely fans are following the buzz (30-day exposure to news/trailers/social posts) alongside an overall confidence score, giving media brands a fuller picture than a simple predictions poll.
- Includes standard demographic and channel-source questions (age, gender, where they get award news) so results can be segmented by audience type.
SurveyMonkey
TV Award Show 2022 Predictions SurveyA directly comparable, fielding-ready template from an established survey platform aimed at the same topic (fan predictions for a TV award show). It's dated to 2022, suggesting it may need manual updates for current nominees each award season. Being a static form, it relies entirely on pre-written multiple-choice/rating questions rather than any adaptive follow-up.
잘하는 점
- Backed by a large, well-known survey platform with broad template library and easy deployment
- Purpose-built for the same TV award predictions use case, so question structure is likely close to industry norms
- Simple to launch quickly without custom setup
아쉬운 점
- No adaptive AI follow-up to probe the reasoning behind a respondent's top pick — responses are limited to what's pre-scripted
- No voice AI interview option or guided screen-share tasks
- No automated per-response quality scoring or transparent prompt methodology; the 2022 label suggests the template isn't refreshed for new nominee cycles
설문을 공개할 준비가 되셨나요?
이 템플릿을 편집기에서 열어 보세요. 첫 응답자가 보기 전에 모든 부분을 원하는 대로 바꿀 수 있습니다.
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