Q01
Message
All templatesIndustry-Specific
Job Fair Registration & Candidate Interest Survey
Captures what job seekers are looking for before a job fair — target industries, role types, format preferences, and what actually drives them to stop at a booth — with an AI follow-up that surfaces the real career goals and hesitations behind their answers. Built for recruiters and event organizers planning employer lineups and floor layout.
Sample questions
A preview of what’s in the template. Every question is editable before you launch.
12 questions · ~7 min
Q02
Multiple ChoiceRequired
Which best describes your current job search status?
- Employed, actively looking
- Employed, just exploring options
- Unemployed, actively searching
- Currently a student or recent graduate
- Returning to the workforce
Q03
Multiple ChoiceRequired
Which industries or fields are you most interested in exploring at this event?
- Technology / IT
- Healthcare
- Finance / Accounting
- Sales / Business Development
- Manufacturing / Skilled Trades
- Education
- Hospitality / Retail
- Government / Public Sector
Q04
Multiple ChoiceRequired
What type(s) of positions are you hoping to find?
- Full-time
- Part-time
- Internship
- Contract or temporary
- Apprenticeship
Q05
Multiple Choice
How do you plan to attend this job fair?
- In person
- Virtually
- Haven't decided yet
Q06
Best–Worst Trade-off (MaxDiff)Required
When deciding which employer booths to visit, which of these matter most to you, and which matter least?
- Company reputation or brand
- Salary range posted upfront
- Clear career growth path
- Commute or location
- Remote or hybrid flexibility
- Benefits and perks
- Company culture or values fit
- How urgently they're hiring
Pick best & worst per setBest:Matters mostWorst:Matters least
Q07
Rating Scale
How prepared do you feel with your resume and talking points for employer conversations?
Range: 1 – 5
Min:Not prepared at allMax:Extremely well prepared
Q08
Short Text
Are there specific companies or roles you're hoping to find at this event? (Optional)
Q09
AI Interview
Explore what would make this specific job fair feel like a genuine win for the respondent — probe their underlying career goal (a new title, a pay jump, a career change, first job, stability) and what's held them back so far. If they flagged low resume preparedness, ask what kind of on-the-spot help would actually change their confidence walking in. If they named specific companies or roles, ask what about those specifically appeals to them versus alternatives.
Q10
Multiple Choice
Which best describes your career stage?
- Student / no work experience yet
- Entry-level (0-2 years)
- Mid-career (3-9 years)
- Senior / experienced (10+ years)
- Career changer
- Prefer not to say
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
Message
You're all set — thank you! We'll use your answers to line up employer booths and resources that match what you're looking for on event day.
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 registration logistics to capture target industries, role types, and attendance format so organizers can plan employer lineup and floor layout accordingly
- Uses a MaxDiff exercise to rank what actually drives candidates to stop at a booth, giving organizers prioritized, comparable data instead of vague open-ended guesses
- Includes an AI follow-up interview that probes what would make the event feel like a genuine win for the registrant, surfacing real career goals and hesitations a static form can't reach
- Pairs quantitative screening questions (job search status, career stage, age range, resume readiness) with an optional short-text field for specific companies/roles, then closes with a clear confirmation message
Jotform
Virtual Career Fair Registration Form TemplateA straightforward registration form template aimed at virtual career fairs, built on Jotform's drag-and-drop form builder. It's designed for collecting attendee sign-up details rather than probing candidate motivations or preferences in depth. Best suited to logistics capture, not candidate-insight research.
What it does well
- Easy to customize within Jotform's builder
- Purpose-built for virtual career fair sign-up flows
- Likely integrates with Jotform's broader form/notification ecosystem
Where it falls short
- Static form fields with no adaptive follow-up to explore candidate motivations
- No mechanism to surface hesitations or unstated career goals
- No published methodology for how questions were designed or scored
SurveyMonkey
Job Fair Registration Form TemplateSurveyMonkey's job fair registration template offers a standard set of registration questions using their well-known survey platform. It's geared toward collecting attendee information at scale rather than uncovering the 'why' behind candidate preferences. Good for basic logistics, limited for deeper candidate-interest research.
What it does well
- Backed by SurveyMonkey's established survey infrastructure and analytics
- Simple, familiar respondent experience
- Easy to distribute widely for registration collection
Where it falls short
- No adaptive AI follow-up to dig into candidate priorities or hesitations
- Fixed question set can't adjust based on individual responses
- No per-response quality scoring or transparent prompt methodology
Typeform
Job Fair Registration Form TemplateTypeform provides a conversational-style registration form for job fairs, leaning on its signature one-question-at-a-time UX. It focuses on a pleasant registration experience rather than structured prioritization exercises or deep candidate insight. It remains a static, pre-set question flow despite the conversational feel.
What it does well
- Polished, conversational respondent experience
- Mobile-friendly design typical of Typeform
- Quick to launch for basic registration collection
Where it falls short
- No trade-off/prioritization exercise (e.g., ranking what draws candidates to booths)
- No AI-driven follow-up to explore real motivations behind answers
- No automated scoring or reporting layer for organizers
Ready to launch?
Open this template in the editor. Every part is yours to change before the first respondent sees it.
Related templates
More studies from the same category.
Industry-Specific
Neighborhood Livability and Community Feedback Survey
Captures how residents really feel about safety, upkeep, amenities, and community spirit where they live, with an AI follow-up that digs into the one issue affecting quality of life most. Built for city planners, HOAs, and community organizations tracking neighborhood health over time.
View templateIndustry-Specific
Mailing List Subscriber Engagement Survey
Finds out whether your email newsletter is earning opens, feels relevant, and is sent at the right cadence — for anyone who owns a mailing list. An AI follow-up interview digs into the real reason behind low relevance or satisfaction scores instead of settling for a number.
View templateIndustry-Specific
Fun Run Registration Experience & Pricing Survey
Captures why participants signed up for your fun run, how smooth the online registration and payment process felt, and what entry fee feels fair to them — with an AI follow-up that digs into the specific friction points behind low ease-of-registration ratings. Built for race organizers and event marketers refining sign-up flow, communications, and pricing.
View templateIndustry-Specific
Mentorship Advocacy & Sponsorship Impact Survey
Measures whether a mentorship program is producing real advocacy — introductions, nominations, and sponsorship — not just advice conversations. Built for program owners and L&D teams, with an AI follow-up that surfaces a concrete story of advocacy (or the lack of it) behind the numbers.
View templateIndustry-Specific
Culture of Genius: Talent Mindset & Belonging Audit
Measures whether your organization or field rewards innate 'brilliance' over effort, curiosity, and collaboration — and how that mindset shapes psychological safety and belonging. Built for academic departments, R&D teams, and competitive knowledge-work cultures. The AI follow-up interview reconstructs a real moment respondents held back or witnessed talent-based bias, not just their general opinion about culture.
View templateIndustry-Specific
Celebrity Endorsement Impact & Brand Fit Survey
Measures how a celebrity endorsement lands with consumers — perceived fit with the brand, credibility, and shift in purchase intent — for marketing and brand teams evaluating a spokesperson deal or campaign. An AI follow-up interview reconstructs the respondent's genuine reaction to the specific pairing, separating real credibility from 'they're just paid to say it' skepticism.
View template