College Football Top 25 Poll Reasoning Survey
Captures how fans, media, or panel voters actually build a college football Top 25 ballot — which teams they'd rank where, which criteria drive those calls, and how confident they are in the official rankings. The AI follow-up interview digs into the reasoning behind a voter's #1 pick and any team where their ballot diverges sharply from the published poll.
Sample questions
A preview of what’s in the template. Every question is editable before you launch.
In a typical week during the season, how closely do you follow college football rankings and results?
- I watch most games and track every ranking release
- I watch some games and check rankings weekly
- I mostly follow scores and rankings, few full games
- I only check in around major matchups or the playoff picture
Rank these teams from strongest to weakest as they'd appear on your personal Top 25 ballot this week. (Template note: replace with the current week's top contenders before launching.)
- (Replace with Team A)
- (Replace with Team B)
- (Replace with Team C)
- (Replace with Team D)
- (Replace with Team E)
- (Replace with Team F)
- (Replace with Team G)
- (Replace with Team H)
When you decide how to rank two closely matched teams, which of these factors matter most versus least to you?
- Overall win-loss record
- Quality of wins against ranked opponents
- Avoiding losses to unranked or weaker teams
- Game-by-game performance ('eye test')
- Strength of schedule
- Path to a conference championship
- Preseason expectations or reputation
Which team do you think most deserves to be ranked #1 this week? (Template note: replace with the current top contenders.)
- (Replace with Team A)
- (Replace with Team B)
- (Replace with Team C)
- (Replace with Team D)
How confident are you that this week's official rankings reflect which teams are actually the strongest?
In your view, which factor currently gets too much weight in how teams get ranked?
- Overall win-loss record
- Conference affiliation or brand reputation
- Recent momentum or 'hot streaks'
- Preseason rankings and expectations
- Margin of victory / 'eye test' impressions
Probe why the respondent ranked their #1 team above the others they placed just below it — anchor on a specific game, stat, or result they point to as proof. Then ask them to name one team in the official rankings whose position they'd move significantly (up or down) and walk through exactly what evidence changes their mind. If they say the rankings are basically fine as-is, ask what would have to happen in the next two weeks to shift their ballot.
Is there a team you think is clearly overrated or underrated right now? Tell us which one and why.
Just a few quick background questions to help us compare voting patterns across different types of fans and voters — all optional.
Which best describes your relationship to college football rankings?
- Casual fan
- Die-hard fan of one or two teams
- Media member or sports writer
- Official poll voter or committee member
- Coach, player, or athletics staff
- Prefer not to say
What is your age range?
- Under 18
- 18-24
- 25-34
- 35-44
- 45-54
- 55-64
- 65+
- Prefer not to say
What is your highest level of education completed?
- High school or less
- Some college
- Bachelor's degree
- Graduate or professional degree
- Prefer not to say
Thanks for building out your ballot with us! Your rankings and reasoning will be aggregated with other respondents to study how voters actually weigh evidence when ranking teams.
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
- Includes a full personal Top 25 ranking exercise plus a MaxDiff question that isolates which criteria actually drive close-call decisions between similar teams
- Uses an AI follow-up interview to probe specifically why a respondent's #1 pick beat out the next-ranked teams, and to dig into any team where their ballot diverges sharply from the official poll
- Captures self-reported voter type (fan, media, panel voter) and engagement level alongside confidence in the official rankings, so reasoning patterns can be segmented by respondent background
- Closes with an open-ended question on overrated/underrated teams, giving qualitative color that a static form can't follow up on in real time
Jotform
Top 25 College Football Poll Form TemplateA fielding-ready form template for collecting Top 25 poll submissions, built on Jotform's drag-and-drop form builder. It's oriented toward simple data collection (rankings, picks) rather than exploring the reasoning behind them. Customization is manual, with no built-in mechanism to ask why a respondent ranked things a certain way.
What it does well
- Ready-to-use, fieldable form template
- Easy drag-and-drop customization typical of Jotform
- Likely supports basic ranking/choice fields for poll submissions
Where it falls short
- No adaptive follow-up interviewing to probe reasoning behind rankings
- No automated quality scoring of open-ended responses
- No transparent, publishable prompt methodology for how any AI-assisted elements work
Typeform
Top 25 College Football Poll Form TemplateA conversational-style form template for gathering Top 25 poll picks, using Typeform's one-question-at-a-time flow. It's built for smooth data capture rather than deeper reasoning analysis, and any follow-up questions would need to be manually scripted with static logic branches. No mention of voice interviews or task-based, screen-share style probing.
What it does well
- Polished, conversational question flow typical of Typeform
- Ready-to-deploy template for quick poll collection
- Likely supports simple ranking and multiple-choice question types
Where it falls short
- No adaptive AI interview that dynamically probes divergent rankings or #1 picks
- No automated per-response quality scoring
- No option for voice-based AI interviews or guided screen-share tasks
Ready to launch?
Open this template in the editor. Every part is yours to change before the first respondent sees it.