Q01
메시지
모든 템플릿Industry-Specific
TV Show Award Nominee Fan Choice Quiz
Captures how viewers judge this year's award nominees — which show deserves the top prize, how they weigh writing, acting, and cultural impact, and how each nominee stacks up on watchability — with an AI follow-up that unpacks the specific scene or performance that sealed their vote. Built for networks, studios, and streaming services running fan-choice award campaigns or engagement content.
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 this year's nominated shows have you watched at least one full episode of in the last 12 months? (Template note: replace these five placeholder nominees with your actual award-category lineup before launching.)
- (Replace with Nominee A)
- (Replace with Nominee B)
- (Replace with Nominee C)
- (Replace with Nominee D)
- (Replace with Nominee E)
Q03
객관식필수
If you were the only voter, which nominee would win Best Show of the Year?
- (Replace with Nominee A)
- (Replace with Nominee B)
- (Replace with Nominee C)
- (Replace with Nominee D)
- (Replace with Nominee E)
Q04
최선·최악 선택형(MaxDiff)필수
When you personally decide a show 'deserves' an award, which of these matter most versus least?
- Writing and story structure
- Acting performances
- Directing and pacing
- Visual effects and cinematography
- Soundtrack and sound design
- Rewatchability
- Cultural conversation it sparked
- How the finale landed
세트별 최선·최악 선택최선:Matters most최악:Matters least
Q05
점수 배분필수
Split 100 points across these judging categories based on how much weight each should get when picking a winner.
- Writing & storytelling
- Acting performances
- Directing & pacing
- Visual effects & cinematography
- Cultural impact & conversation
100점 배분
Q06
순위 매기기
Rank this year's nominees from strongest to weakest ensemble cast.
- (Replace with Nominee A)
- (Replace with Nominee B)
- (Replace with Nominee C)
- (Replace with Nominee D)
- (Replace with Nominee E)
드래그하여 순위 지정
Q07
슬라이더 매트릭스
For each nominee, how much would you personally recommend it to a friend?
5개 행, 각 행마다 슬라이더 1개
- (Replace with Nominee A)
- (Replace with Nominee B)
- (Replace with Nominee C)
- (Replace with Nominee D)
- (Replace with Nominee E)
슬라이더 0–10최소:Skip it최대:Must watch
Q08
의견 척도필수
If your top pick gets renewed, how likely are you to watch the next season?
척도: 0 – 10
최소:Not at all likely최대:Extremely likely
Q09
평점 척도
How satisfied were you with the ending of your top pick?
범위: 1 – 5
최소:Very unsatisfied최대:Very satisfied
Q10
AI 인터뷰
Dig into why the respondent chose their top pick for Best Show of the Year: ask for the specific scene, performance, or episode that made the case for them, and whether it was the writing, a character, or something else entirely. If they were torn between two nominees, probe exactly what tipped the balance. If their reasoning is vague ('it's just good'), push for one concrete moment they still think about.
Q11
객관식
What's your age range?
- Under 18
- 18-24
- 25-34
- 35-44
- 45-54
- 55-64
- 65+
- Prefer not to say
Q12
객관식
Which streaming or broadcast services do you use to watch award-nominated shows?
- (Replace with Service A)
- (Replace with Service B)
- (Replace with Service C)
- Cable or broadcast TV
- Prefer not to say
Q13
메시지
That's a wrap — thanks for casting your vote! Your ratings and comments feed into our fan-choice award report and help decide which shows get spotlighted this 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 a single 'pick your favorite' question with a full judging toolkit: a MaxDiff on what makes a show 'deserve' an award, a constant-sum split across writing/acting/cultural-impact weighting, and a ranking of ensemble casts.
- Includes a slider matrix so respondents rate how recommendable each nominee is, plus dedicated satisfaction and renewal-likelihood questions for their top pick.
- Adds an AI follow-up interview that digs into the specific scene or performance that sealed the respondent's vote — turning a simple ballot into qualitative insight networks and studios can act on.
- Captures viewing habits and service usage (age range, streaming/broadcast platforms) alongside the vote, giving segmentable data instead of just a raw tally.
SurveyMonkey
TV Award Show Quiz TemplateThis is a directly comparable, fielding-ready template for TV award nominee voting on a mainstream survey platform. It's built around standard multiple-choice and rating question types rather than any adaptive or conversational format. Good for a quick, structured ballot but not for open-ended reasoning capture.
잘하는 점
- Purpose-built for the same use case (TV award nominee fan voting), so setup should be fast
- Backed by an established, widely-used survey platform with broad respondent-facing familiarity
- Likely supports standard reporting/export features typical of SurveyMonkey templates
아쉬운 점
- No adaptive AI follow-up to probe why a respondent picked their top nominee — reasoning stays a guess
- No voice AI interview option or guided screen-share task for capturing qualitative reactions
- No automated per-response quality scoring, so low-effort or low-quality responses aren't flagged automatically
설문을 공개할 준비가 되셨나요?
이 템플릿을 편집기에서 열어 보세요. 첫 응답자가 보기 전에 모든 부분을 원하는 대로 바꿀 수 있습니다.
관련 템플릿
같은 카테고리의 다른 설문을 만나 보세요.
Industry-Specific
Seminar Registration Interest & Topic Fit Survey
Gauges why professionals are weighing whether to register for your seminar, which session topics and formats matter most, and what price feels fair — built for event, association, and marketing teams planning a conference, workshop, or webinar series. An AI follow-up interview digs into the real reason a likely-to-attend score is high or low, beyond a checkbox answer.
템플릿 보기Industry-Specific
Game Day Prediction & Fan Confidence Survey
Captures fans' pre-game predictions — winner, score, MVP, and the factors they think will decide the outcome — plus how confident and excited they are. Built for sports media brands, leagues, and fan engagement apps, with an AI follow-up that digs into the reasoning behind each fan's boldest or most contrarian pick.
템플릿 보기Industry-Specific
Contest Entry Experience & Motivation Survey
Captures why people entered your contest or giveaway, how they heard about it, how smooth the entry process felt, and how likely they are to engage again — with an AI follow-up that digs into the real motivation and any friction behind a rushed or abandoned entry.
템플릿 보기Industry-Specific
Rental Application Experience Feedback Survey
Captures how applicants experienced the journey from submitting a rental application to getting a decision — covering paperwork clarity, screening speed, fee transparency, and staff communication. Built for property managers and landlords, with an AI follow-up that reconstructs the exact moment the process felt smooth or broke down.
템플릿 보기Industry-Specific
소설 제목 테스트 및 독자 반응 설문
새 소설의 후보 제목들 사이에서 결정을 내리려는 작가와 출판사를 위한 설문입니다. 어떤 제목이 가장 매력적인지, 올바른 장르를 시사하는지, 그리고 제목만으로 독자가 책을 집어 들 가능성이 얼마나 되는지를 측정합니다 — AI 후속 질문을 통해 독자가 가장 선호한 제목 뒤에 있는 연상, 혼란, 또는 망설임까지 깊이 파고듭니다.
템플릿 보기Industry-Specific
U.S. Voter Registration Experience Survey
Captures how eligible voters actually register in the U.S. — the method they used, where friction or confusion showed up, and how confident they feel their registration is valid — with an AI follow-up that digs into the specific moment a barrier appeared. Built for election offices, civic tech teams, and voter engagement nonprofits.
템플릿 보기