Industry-specific survey templates

Captures why someone chose to register for a dance class, what nearly stopped them, and how they feel about pricing, scheduling, and the sign-up process. Built for studio owners and program managers, with an AI follow-up interview that digs into the specific hesitation or tipping point behind their decision.

Assesses how consistently staff actually follow personal hygiene protocols — handwashing, uniform care, PPE, illness reporting — versus what policy requires. Built for food service, healthcare, and personal-care employers; the AI follow-up interview digs into the real reasons compliance slips on a given shift, not just stated good intentions.

A short, gamified quiz that tests recognition of commonly-confused English words alongside self-rated confidence and learning habits — ideal for language schools, corporate training teams, or HR onboarding. The AI follow-up interview has respondents explain a tricky word in their own words, surfacing real comprehension gaps that multiple-choice scoring alone misses.

A playful trivia quiz that tests well-known 'Mandela Effect' cases — shared false memories about logos, quotes, and pop culture details — then measures confidence and surprise. An AI follow-up interview digs into where the respondent's strongest false memory came from and what it felt like to be corrected. Built for media, content, and consumer-psychology researchers studying collective misremembering.

Measures how well your continuous improvement or Kaizen-style program actually functions day to day — suggestion volume, leadership follow-through, training gaps, and real barriers — for operations and HR teams running lean or quality initiatives. An AI follow-up reconstructs what actually happened to a recent improvement idea instead of general opinions about the program.

Measures how easily customers complete (or abandon) warranty registration, what motivates them to bother, and where the process breaks down. Built for product, customer care, and CX teams optimizing registration funnels, with an AI follow-up that reconstructs the exact moment a respondent almost gave up.

Captures how customers experienced a recent swimming pool inspection — thoroughness, clarity of findings, and inspector professionalism — for real estate, maintenance, or safety-compliance inspections. An AI follow-up interview digs into what issues were found and whether they were explained in a way the customer could actually act on.

Measures how a candidate's work style, decision-making habits, and workplace values line up with your organization's culture — covering autonomy, pace, feedback style, and collaboration — with an AI follow-up that surfaces how they've actually handled real culture clashes rather than how they'd like to answer.

Measures how easy, fast, and frustration-free your ID card registration process is — from document submission through card delivery. Built for government agencies, universities, employers, and membership organizations that issue ID cards, with an AI follow-up that digs into the exact step where applicants got stuck.

Captures how drivers, technicians, and safety managers experience the recurring 90-day DOT equipment inspection cycle — what actually gets checked, how thorough it feels under time pressure, and where defects tend to slip through. An AI follow-up interview reconstructs the most recent inspection in detail, surfacing near-misses that closed-ended questions miss.

Captures how prospective tenants experience the rental application process — from finding the listing to hearing back on a decision — including friction points around fees, documentation, and communication. An AI follow-up interview digs into the specific moment things went smoothly or fell apart, giving property managers concrete fixes instead of a generic satisfaction score.

For HR teams and people managers who want to know how a promotion, transfer, reclassification, or disciplinary action actually landed with the employee. Covers clarity, timeliness, and perceived fairness of the process, plus a matrix on procedural steps, and an AI follow-up interview that digs into the specific reasons behind the employee's fairness rating rather than a generic satisfaction score.

Measures how members feel about meeting logistics, book picks, and discussion quality in a recurring book club — with an AI follow-up that digs into the 'why' behind their most recent discussion rating so organizers know what to fix versus what to keep. Built for book club leads, library programs, and reading communities checking in every few months.

Captures how recipients experienced a business proposal sent through an online proposal tool — clarity, ease of review, trust signals, and what ultimately drove their decision. An AI follow-up interview reconstructs the real reasoning behind an accept, decline, or stall, going beyond the surface-level rating. Built for sales, agency, and proposal-software teams who want to improve close rates.

Measures how easy, fast, and frustration-free it is for clients to book a spa appointment across whatever channel they used — online, app, phone, or in person. An AI follow-up interview digs into the specific moment booking almost fell through, surfacing friction a satisfaction score alone would miss. Built for spa and wellness operators auditing their booking funnel.

Measures how smoothly students moved through course pre-registration — portal usability, course availability, advisor support, and overall satisfaction — for registrars and academic advising teams. An AI follow-up interview reconstructs exactly what went wrong during the student's most recent registration attempt, not just how they rated it.

A structured self-assessment of core job skills across proficiency levels, paired with a prioritization exercise that surfaces where development investment matters most. Built for L&D teams and people managers running skill matrices across a team or department; the AI follow-up interview digs into the real story behind each person's biggest reported skill gap.

A host-friendly RSVP for Thanksgiving gatherings that captures attendance, dietary needs, dish contributions, and timing preferences in one place. An AI follow-up interview digs into uncertain RSVPs and unspoken needs so hosts can plan the menu, seating, and schedule with fewer surprises.

Captures how residents and their families experience daily care, staff responsiveness, meals, activities, and communication in a nursing home or assisted living community. An AI follow-up interview digs into the story behind the lowest-rated experience so administrators know exactly what to fix first, not just where the score dropped.

Measures how invitees to a job fair perceive the invitation, what would actually get them through the door (in person or virtually), and what's stopping the ones who say they probably won't come. For recruiting and events teams planning a career fair, with an AI follow-up that digs into the real reason behind a lukewarm attendance intent instead of a generic 'schedule conflict.'

Captures which speakers, topics, and formats your audience actually wants for upcoming events, so you can prioritize outreach with confidence instead of guessing. An AI follow-up interview digs into why a specific speaker or topic matters to the respondent and what problem they're hoping the session solves.

Evaluates how clearly a Statement of Work defined scope, deliverables, timelines, pricing, and change control for a specific client-vendor engagement, and how well execution matched what was written. Built for procurement, PMO, and agency teams reviewing SOW quality after project close, with an AI follow-up that reconstructs the exact moment scope ambiguity or a change order caused friction.

Measures how easily technicians, mechanics, and maintenance staff can request, track, and receive the right parts — covering speed, accuracy, availability communication, and channel preference. An AI follow-up interview reconstructs the most recent problematic request to pinpoint exactly where the process breaks down. Built for parts suppliers, distributors, and internal procurement teams.

Helps HR teams and event organizers plan a colleague's send-off — capturing RSVP intent, format and logistics preferences, and a heartfelt message. The AI follow-up interview digs up a specific memory or anecdote to include in the card or speech, turning generic well-wishes into something personal.

Measures how easily people can find, register for, and confirm vaccination appointments across online, phone, and walk-in channels, and pinpoints exactly where the process breaks down. Built for health systems, pharmacies, and public health programs; the AI follow-up interview reconstructs what actually happened at the moment registration got difficult, not just a friction score.

Measures how clear, fair, and actionable formal counseling sessions feel to service members — covering performance, career, and corrective counseling — with an AI follow-up that reconstructs what actually happened in the most recent session and whether the feedback stuck. Built for unit leaders and training commands reviewing their counseling process.

Captures how easy, motivating, and fair the idea submission process felt to someone who just submitted an idea to your innovation program — covering guideline clarity, form usability, and intent to submit again. An AI follow-up interview reconstructs the actual idea's context and the friction that almost stopped them from submitting, giving program owners concrete fixes instead of a generic satisfaction score.

Measures how well your team handles in-the-moment help requests — response speed, staff helpfulness, and whether the issue actually got resolved — for any service that offers on-demand assistance (call buttons, chat, concierge, help desks). An AI follow-up interview reconstructs exactly what happened during the request, not just how it felt afterward.

Captures why runners signed up for your 5K, how smooth their registration felt, and which race-day logistics matter most to them — built for race directors, event marketers, and charity partners planning future runs. The AI follow-up digs into any registration friction and the real motivation behind the signup, not just the option they clicked.

A playful personality quiz that matches respondents to a spirit animal based on how they actually behave in social, work, and stress situations — not just how they see themselves. The AI follow-up digs into the one answer that most shaped their result, so the final match feels earned rather than random.

Tracks how workers and job seekers currently perceive the labor market — job security, satisfaction with their current role, and what would make them stay or leave — for HR teams, economists, and workforce researchers. An AI follow-up interview digs into the real story behind stated reasons for staying or considering a move.

Captures how candidates experienced your hiring process — from application through offer or rejection — covering communication, timeliness, interview quality, and fairness. An AI follow-up interview digs into the specific moment that shaped a candidate's willingness to recommend applying to your company. Built for talent acquisition teams auditing their funnel.

Captures how judges, audience members, and competitors experienced a specific debate — argument quality, delivery, and persuasiveness — plus an AI follow-up that reconstructs the single moment that most shaped who 'won' the room. Built for debate coaches, tournament organizers, and educators running practice rounds or competitions.

Measures how well your lost-and-found process works for people who actually lost something on-site — reporting ease, staff helpfulness, and resolution speed — with an AI follow-up that reconstructs exactly what happened during their specific case, especially when the item wasn't recovered.

Tracks whether frontline workers and supervisors actually complete daily safety inspections, what hazards they find, and how confident they are that flagged issues get fixed — with an AI follow-up that reconstructs the most recent hazard end-to-end, from discovery to resolution or bottleneck. Built for EHS teams and site managers auditing checklist adherence.

A lightweight, anytime channel for employees, customers, or community members to submit improvement ideas as they occur to them. Captures the idea, its context, and who it would help, then uses an AI follow-up to turn a rough or vague suggestion into a specific, actionable recommendation your team can actually evaluate.

Measures how easy, fast, and reliable the cheque book request process is — from channel choice to delivery — for customers of a bank or credit union. An AI follow-up interview digs into the specific moment where the process felt slow or confusing, surfacing fixes that closed-ended ratings alone would miss.

Evaluates how well your 'request a call back instead of waiting on hold' feature performs in practice — whether the promised wait time held up, whether agents had context when they called, and whether the issue actually got resolved. An AI follow-up interview reconstructs exactly what happened during the call-back moment, not just how the customer rated it.

Captures how shippers rate the speed, accuracy, and clarity of freight quotes they received, using allocation and prioritization questions plus an AI follow-up that digs into why a quote was accepted, negotiated, or lost to a competitor.

Measures how clear, timely, and supported the maternity leave application process felt for employees who recently applied — built for HR and People Ops teams auditing parental leave policies. An AI follow-up interview digs into the single moment of friction or confusion that mattered most, in the applicant's own words, rather than a generic policy checklist.

Explores how people decide tip amounts, when they lean on a tip calculator versus gut feel, and what drives them to accept, adjust, or skip suggested default percentages. Built for restaurants, delivery platforms, and tip-calculator app teams. An AI follow-up interview reconstructs the reasoning behind one real recent tipping decision.

Collects the background, health, and behavioral information childcare centers, schools, and youth programs need to support a child well — routines, needs, and preferences alongside an AI follow-up that draws out the specific things a new caregiver should know on day one. Built for intake and enrollment teams.

Captures how customers experience the full vehicle service request journey — scheduling, cost and timeline communication, quality of work, and pickup — for auto repair shops, dealerships, and fleet service centers. An AI follow-up interview digs into the real reasons behind cost surprises, delays, or low recommendation scores instead of settling for a star rating.

Tracks voter registration status, candidate preference, issue priorities, and approval of current leadership, for campaigns, newsrooms, and political researchers running online polls. An AI follow-up interview digs into the reasoning behind each respondent's vote choice — especially undecided voters — instead of stopping at a checkbox.

Measures how smoothly clinical and lab staff can submit, track, and resolve issues with lab test requisitions — covering form clarity, turnaround time, and error rates. An AI follow-up reconstructs exactly what went wrong on a recent problematic requisition instead of relying on vague complaints, giving lab operations teams concrete fixes to prioritize.

Measures how businesses currently calculate and rely on marginal cost figures for pricing, production, and sourcing decisions, and surfaces where existing spreadsheets or tools fall short. An AI follow-up interview reconstructs a real recent decision where marginal cost data was pivotal, revealing what inputs, assumptions, and blind spots actually shaped it.

Measures how easy, fair, and timely your team's holiday and annual leave request process feels, from submission method to manager response time. Built for HR and people-ops teams auditing time-off systems, with an AI follow-up interview that reconstructs what really happened the last time a request was delayed or denied.

Measures how smoothly a customer's shipping or freight request was handled — from initial quote through final delivery — for logistics, courier, and freight companies. An AI follow-up interview digs into the specific moment that caused the most friction, going beyond satisfaction scores to what actually happened.

Measures how readers or players experienced a branching narrative — engagement, satisfaction with the choices offered, and pull toward replaying alternate paths. Built for interactive fiction studios, narrative game teams, and branching-content publishers, with an AI follow-up that reconstructs a specific choice moment to reveal whether decisions actually felt like they mattered.

Captures how clients found, evaluated, and booked a photography session — from discovery channel and pricing perception to friction points in scheduling and contracts. An AI follow-up interview reconstructs the actual decision journey, surfacing what nearly made a client choose someone else and where the booking process could lose future bookings.