Industry-specific survey templates

Captures how applicants experienced your grant application process — from finding guidelines to hearing back on a decision — for foundations, government agencies, and grant-making bodies. An AI follow-up interview digs into the exact stage that caused the most friction, so program teams know precisely what to fix before the next funding cycle.

A fun, quiz-style survey for sports marketers, broadcasters, and brands to gauge fan excitement, viewing habits, and commercial/halftime engagement around the year's biggest televised game. The AI follow-up reconstructs the specific ad or moment a fan actually remembers, not just whether they say ads matter.

Measures how people perceive progress on gender equality, which policy issues they think deserve attention, and whether they've personally experienced unfair treatment. Built for researchers, advocacy groups, and pollsters tracking public opinion, with an AI follow-up that digs into the personal reasoning and lived experience behind the numbers.

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.

Measures how Americans discover, verify, and trust political news across cable, print, social media, podcasts, and word of mouth. An AI follow-up interview digs into the specific story or moment that most shaped a respondent's trust — useful for newsrooms, media researchers, civic-tech teams, and policy groups tracking the health of the information ecosystem.

Measures how satisfied recent adopters are with your shelter or rescue's adoption process, pet-matching accuracy, and post-adoption support — for animal welfare organizations wanting to improve placement quality. An AI follow-up interview digs into the specific moment where expectations about the pet's health, temperament, or care needs diverged from reality.

Captures how car shoppers gather information, which sources they trust, and where they get stuck comparing vehicles, with an AI follow-up that reconstructs the exact research path behind their most recent vehicle decision.

Captures why a family is applying, which sessions and activities matter most, and how ready the camper feels for time away from home — with an AI follow-up that surfaces unspoken worries or hopes so counselors can prep the right support before day one.

Explores how people set up, maintain, and present themselves through their Facebook profile — from privacy choices to how authentic it feels — with an AI follow-up that digs into the reasoning behind their privacy and self-presentation choices. Useful for social platform teams, researchers, and personal-branding consultants studying real user behavior rather than stated attitudes.

A trivia-plus-attitudes survey for broadcasters, sponsors, and sports media brands measuring how closely fans follow the World Cup, what they actually know about the tournament, and what keeps them watching. An AI follow-up interview digs into why fans back the team they do and what's really driving their prediction confidence.

Explores how people discover, join, and share hobbies and niche interests across online communities and platforms — what draws them in, what keeps them lurking instead of posting, and what would make them contribute more. Built for community platforms, creator tools, and brands building interest-based social features, with an AI follow-up that digs into the real reasons behind sharing or staying silent.

A pulse check for employees working remotely or on-site during the pandemic, covering productivity, equipment, isolation, and manager support. An AI follow-up interview digs into each person's specific biggest challenge so HR gets concrete, fixable detail instead of a generic satisfaction score.

Captures how families discovered, understood, and completed Vacation Bible School registration this year, plus where the process created friction. Built for church staff and volunteer coordinators, with an AI follow-up interview that reconstructs exactly what happened when a parent's registration wasn't smooth.

Captures improvement ideas from employees across facilities, process, tools, and culture, then scores each one for potential impact and ease of implementation. An AI follow-up interview digs into the specifics of the idea, what problem it solves, and what would get in the way of putting it into practice.

Captures how customers actually book appointments through your online scheduling tool — preferred days, times, and devices, plus where the process breaks down. Includes an AI follow-up that reconstructs the last booking attempt step by step to surface friction points a satisfaction score alone would miss. Built for clinics, salons, service businesses, and B2B teams that manage bookings online.

Maps how and why people participate (or don't participate) in U.S. elections — registration status, election types voted in, ballot method, and the barriers that get in the way — with an AI follow-up that digs into the real story behind someone's most recent voting decision. Built for civic organizations, campaigns, and researchers studying turnout.

Measures which proof points—case studies, testimonials, certifications, usage statistics, awards—actually build buyer confidence, and where the evidence in your marketing or sales materials falls flat. Built for B2B marketing and sales enablement teams pressure-testing collateral, with an AI follow-up that surfaces the exact detail that made one proof point believable and what still leaves prospects skeptical.

A trivia-style survey that tests how well fans know Premier League facts and history while capturing how deeply and how often they actually follow the league. Built for club marketing teams, broadcasters, and sponsors sizing up audience knowledge and content appetite, with an AI follow-up that uncovers the personal story behind each respondent's fandom.

Explores how people discover, choose, and experience music streaming services — covering platform choice, genre mix, discovery channels, and what drives satisfaction. An AI follow-up interview digs into a recent real discovery or switching moment to surface the 'why' behind the ratings. Built for music platforms, labels, and artist teams.

Captures how donors, volunteers, beneficiaries, and community members understand, trust, and evaluate your nonprofit's mission and impact. An AI follow-up interview digs into the real reasons behind their overall impression, surfacing specifics a rating alone can't capture. Built for communications and development teams planning outreach or fundraising strategy.

Tracks how often customers rent physical movies, what drives their title choices, and where friction shows up in browsing, checkout, and returns. An AI follow-up interview digs into the real reason behind any drop in rentals or a recent cancellation, going beyond the numbers on a satisfaction scale.

Captures how often common childhood behaviors (tantrums, defiance, anxiety, focus struggles, sleep issues) show up at home, school, and in public, and which ones worry parents most. An AI follow-up interview digs into the history and triggers behind the single behavior causing the most concern, going beyond a checkbox rating. Built for pediatric practices, school counselors, and parenting researchers.

Measures how included, fairly treated, and supported people of all genders feel at work — covering belonging, perceived fairness in promotions and pay, comfort reporting concerns, and which initiatives would help most — with an AI follow-up that surfaces the specific incidents and barriers behind the scores instead of vague sentiment. Built for HR, DEI, and people teams running culture pulse checks.

Measures how satisfied current customers are with your solution across usability, reliability, support, and value — and surfaces what's driving renewal risk or advocacy. Built for product, customer success, and account teams tracking a specific software or service. The AI follow-up interview digs into the real story behind each satisfaction score, especially for at-risk accounts.

Captures how internal stakeholders experience working with a specific department — responsiveness, quality, communication, and reliability — plus a trade-off exercise on what to fix first. An AI follow-up interview reconstructs a specific recent interaction behind the numbers so leaders get concrete, fixable detail instead of vague ratings.

Assesses how a key client or business partner perceives the strength of their working relationship with your team — covering trust, responsiveness, and communication — with an AI follow-up that digs into the specific moments behind their satisfaction score. Built for account managers, customer success teams, and partnership leads running periodic relationship health checks.

Tests how well U.S. adults understand basic civics and current government structure — branches of government, terms of office, and the courts — then uses an AI follow-up to explore where knowledge gaps come from and how confidently people navigate political information. Useful for researchers, educators, and civic organizations tracking public understanding of government.

Measures how transparent employees perceive leadership to be — sharing bad news, explaining decisions, admitting mistakes — and how that shapes trust and psychological safety. Built for HR and leadership teams studying organizational transparency, with an AI follow-up that unpacks a specific real instance of a leader being (or not being) open.

Screens prospective pet adopters on housing, daily routine, pet experience, and financial readiness for veterinary care — built for shelters and rescues reviewing applications. An AI follow-up interview probes the applicant's real motivation and contingency plans for life changes, surfacing readiness signals a checklist alone would miss.

Gathers student feedback on a teaching assistant's clarity, responsiveness, fairness, and classroom presence across lectures, labs, or office hours. Includes a best-worst trade-off on what matters most in a TA and an AI follow-up that digs into the specific moment behind each student's overall rating, surfacing concrete strengths and fixable gaps departments can act on.

A structured peer-review template for 360-degree feedback cycles — covering core collaboration competencies, an overall effectiveness rating, and a best-worst prioritization of development areas — plus an AI follow-up interview that reconstructs the concrete incident behind the rating so feedback isn't just a number. Built for HR, people ops, and team leads running peer review cycles.

Measures how satisfied clients are with your team's communication, quality, and responsiveness, then uses an AI follow-up to dig into the reasoning behind their loyalty score. Built for agencies, consultancies, and account teams who want to catch relationship risk before renewal time.

Screens for adverse childhood experiences and maps how they show up in adults' relationships, work, and daily wellbeing today. Built for therapists, researchers, and mental health programs running trauma-informed intake or research, with an AI follow-up that gently explores coping and resilience without pressuring anyone for details they'd rather not share.

Captures how clients rate your company's service quality, responsiveness, communication, and value, benchmarks loyalty with a standard recommendation score, and uses an AI follow-up interview to surface the specific interaction behind each rating. Built for account managers and service teams running periodic client reviews.

Captures how customers actually experience a fast food visit — speed, accuracy, taste, value, and channel choice — plus which improvements would matter most and how customers think about pricing. An AI follow-up interview reconstructs exactly what happened on the respondent's most recent visit instead of relying on vague satisfaction scores. Built for restaurant operators, franchise groups, and QSR marketing teams.

Measures where people stand on the death penalty — overall support, which crimes they think warrant it, and how they weigh deterrence, cost, fairness, and wrongful-conviction risk — with an AI follow-up that surfaces the reasoning and tensions behind their stance. Built for policy researchers, advocacy groups, and pollsters.

Helps individuals, coaches, and L&D teams identify a person's dominant ways of thinking and learning (word, number, picture, body, music, people, self, and nature smarts), then uses an AI follow-up interview to surface a concrete, real-life example of their top strength in action rather than just a self-rated label.

A pre-session intake for reiki and energy healing practitioners that captures a client's physical and emotional state, comfort with touch, and health considerations before hands-on work begins. An AI follow-up interview digs into the client's stated intention so practitioners can tailor the session to what's really driving the visit, not just the surface request.

Captures how attendees rate a speaker's clarity, expertise, and engagement right after a session, plus whether the content met expectations — with an AI follow-up that digs into the specific moment behind their recommendation score. Built for event organizers, L&D teams, and conference producers deciding which speakers to invite back.

Captures how attendees rate a workshop's content, pacing, and facilitator right after it ends, plus how likely they are to recommend it — for training teams and event organizers. An AI follow-up interview digs into the specific moment that shaped each person's recommendation score, going beyond star ratings to what actually landed or fell flat.

Evaluates how easy, efficient, and satisfying your product or website is to use, combining attribute ratings and a prioritization exercise with an AI follow-up that reconstructs a real recent moment of friction instead of relying on vague complaints. Built for product, design, and research teams running ongoing usability tracking.

Captures how dancers experienced your audition process — from communication and choreography teaching to callback follow-up — so studios, companies, and choreographers can improve turnout and reputation. An AI follow-up interview digs into the real story behind how results and feedback were (or weren't) communicated. Built for dance companies, casting directors, and studio owners running auditions.

A pre-appointment intake for estheticians, spas, and skincare clinics that captures skin type, primary concerns, safety-relevant history (retinoids, recent peels, allergies), and treatment goals — with an AI follow-up that digs into the story behind the client's main concern so the esthetician walks in prepared, not guessing.

Captures how candidates experienced your virtual interview process — platform reliability, interviewer conduct, clarity of communication, and overall impression — with an AI follow-up that digs into the specific moment that shaped their rating. Built for talent acquisition and HR teams running remote hiring pipelines.

Measures how tenants feel about maintenance, communication, value, and safety at your property, plus what actually drives their renewal decision. An AI follow-up interview digs into the specific incident or trade-off behind their lowest rating instead of settling for a generic complaint.

A structured evaluation form for coaches, scouts, or player-development staff to rate a soccer player's technical, tactical, physical, and mental attributes, then prioritize development areas. The AI follow-up interview digs into the single biggest development priority with a concrete recent-match example instead of a vague rating.

Captures how students experienced a class — clarity of instruction, pacing, workload, and what actually helped them learn — then uses an AI follow-up interview to dig into the specific moment behind their overall rating. Built for instructors and departments who want more than a satisfaction number at term's end.

A pre-appointment intake for estheticians and skincare studios that captures skin type, concerns, allergies, contraindications, and treatment goals before a first visit — with an AI follow-up that digs into any past reactions or unclear answers so the esthetician walks in fully briefed instead of re-asking basics on the table.

A structured health check for evaluating how a business is performing across strategy, financials, operations, and team. Combines scored ratings, a prioritization exercise, and a budget allocation trade-off with an AI follow-up interview that digs into the real root cause behind the weakest area. Built for owners, executives, and advisors running a periodic business review.

Measures how employees experience their direct supervisor's communication, fairness, support, and recognition. Built for HR teams and people managers running upward-feedback or 360 cycles. An AI follow-up interview digs into the specific moment behind the overall effectiveness score, surfacing concrete behaviors instead of generic ratings.