Q01
Message
All templates
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.
Sample questions
A preview of what’s in the template. Every question is editable before you launch.
13 questions · ~7 min
Q02
Multiple ChoiceRequired
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
Multiple ChoiceRequired
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
Opinion ScaleRequired
In the last 30 days, how often have you seen news, trailers, or social posts about this year's nominees?
Scale: 1 – 5
Min:Never seen anythingMax:Constantly, every day
Q05
RankingRequired
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)
Drag to rank
Q06
Point AllocationRequired
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)
Allocate 100 points
Q07
Multiple Choice
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 Interview
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
Opinion ScaleRequired
Overall, how confident are you that your top predictions this year will be correct?
Scale: 1 – 10
Min:Not confident at allMax:Extremely confident
Q10
Multiple Choice
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
Multiple Choice
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
Multiple Choice
How do you describe your gender?
- Woman
- Man
- Non-binary
- Prefer to self-describe
- Prefer not to say
Q13
Message
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.
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 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.
What it does well
- 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
Where it falls short
- 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
Ready to launch?
Open this template in the editor. Every part is yours to change before the first respondent sees it.