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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.

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TV Award Show Predictions & Fan Sentiment Survey

Ready to make your predictions? We're curious who you think will take home the trophies this year and how you're following the buzz. Your responses are completely confidential and anonymized. This will take about 4-5 minutes — there are no wrong answers here, just your honest gut calls.

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Sample questions

A preview of what’s in the template. Every question is editable before you launch.

11 questions · ~7 min
Message

Ready to make your predictions? We're curious who you think will take home the trophies this year and how you're following the buzz. Your responses are completely confidential and anonymized. This will take about 4-5 minutes — there are no wrong answers here, just your honest gut calls.

Q01
Multiple ChoiceRequired

Which upcoming TV award show are you following most closely right now?

  • A major televised industry award show
  • A critics' or press association award show
  • A fan-voted or streaming-focused award show
  • Another show not listed
  • I'm not really following any award show this season
Q02
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
Q03
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
Q04
RankingRequired

Rank these nominees from most to least likely to win Best Drama Series.

  1. (Nominee A)
  2. (Nominee B)
  3. (Nominee C)
  4. (Nominee D)
  5. (Nominee E)
Drag to rank
Q05
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.

  • (Nominee A)
  • (Nominee B)
  • (Nominee C)
  • (Nominee D)
Allocate 100 points
Q06
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
  • Best Supporting Actor
Q07
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.

Q08
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
Q09
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
Q10
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
Q11
Multiple Choice

How do you describe your gender?

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

A 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

Frequently asked questions

What questions are in the “TV Award Show Predictions & Fan Sentiment Survey” template?

The template includes 11 ready-to-use questions, starting with: “Which upcoming TV award show are you following most closely right now?” · “How do you plan to experience the show this year?” · “In the last 30 days, how often have you seen news, trailers, or social posts about this year's nominees?”. The full set is previewed above, and every question is editable.

How long does this survey take to complete?

Respondents typically finish the 11 questions in about 7 minutes.

Can I customize this template?

Yes — every question, answer option, and the ordering is editable before you launch. You can add or remove questions, or ask the AI editor to rework the survey around your research goal.

Is this template free to use?

Yes. Open it in the editor and start customizing right away — no account required to try it, and the free plan covers launching your survey.

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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