Industry-specific survey templates

A fun, fact-based quiz that tests environmental knowledge alongside real sustainability habits and workplace or community attitudes. Built for schools, employers, and community groups running Earth Day engagement, with an AI follow-up that digs into what actually stops people from acting greener day to day.

Captures a new player's experience level, position interests, and scheduling constraints when registering for a football academy, along with what parents and players actually hope to get out of the program. An AI follow-up interview digs into the real motivation behind joining and surfaces expectation or schedule mismatches before the season starts.

Captures how prospective students and parents experience the admission process at a taekwondo academy — from first discovery through the trial class to the enrollment decision. Includes an AI follow-up interview that digs into why someone did or didn't sign up, surfacing friction points a checklist survey would miss.

A fan-engagement survey for entertainment brands and streaming teams that combines trivia, character rankings, and a best-worst trade-off on what drives enjoyment of Stranger Things, plus an AI follow-up interview that surfaces the emotional 'why' behind fans' favorite character or moment — useful for merchandising, marketing, and content-decision research.

Captures how well a virtual class delivered on content clarity, technical quality, and engagement — for training teams and educators running live or recorded remote sessions. An AI follow-up interview digs into what actually happened during the session that a rating alone can't explain, like where attention dropped or which moment made the material click.

Gathers structured feedback from employees or stakeholders on how your organization communicated and led through a specific crisis — speed, clarity, and trust in decision-making — plus an AI follow-up that reconstructs the moment communication broke down or worked well. Built for comms, HR, and leadership teams running a post-incident debrief.

Measures whether your team's remote daily scrum actually surfaces blockers and aligns work, or has drifted into a status-reporting ritual. Covers time-boxing, psychological safety, format, and top friction points, with an AI follow-up that reconstructs a real recent example instead of vague impressions. Built for scrum masters, engineering managers, and agile coaches running distributed teams.

Evaluates how easy, trustworthy, and frictionless it is to create an account or register on a travel booking site or app — from form length to verification steps. An AI follow-up interview digs into the exact moment respondents almost gave up, giving product teams a concrete fix list instead of a satisfaction score.

Gathers feedback from employees who have gone through a performance improvement plan, covering clarity of expectations, manager support, fairness of the process, and outcome. Built for HR and People Ops teams auditing PIP quality, with an AI follow-up that reconstructs a specific check-in or moment that shaped how the employee felt about the process.

A structured intake for companies applying to become resellers, affiliates, referral partners, or integration partners — capturing company profile, audience overlap, and resource commitment, with an AI follow-up that probes the real motivation and strategic fit behind the application. Built for partnerships and business development teams screening inbound applicants.

Measures how donors experience an automated donation bot on your website, SMS, or messaging app — where it built trust, where it created friction, and whether it helped or hurt the gift. Built for nonprofits and fundraising teams testing conversational giving tools, with an AI follow-up that reconstructs the exact moment a donor almost abandoned or what pushed them to complete.

A multiple-choice knowledge assessment for industry-specific training, certification prep, or compliance programs — checks whether staff can correctly apply role-relevant rules and scenarios, then uses an AI follow-up to reconstruct the reasoning behind wrong or low-confidence answers so trainers can fix the actual gap, not just the test score.

Measures how easy, fair, and well-communicated your overtime request process feels to hourly and shift-based staff — covering submission method, approval speed, and perceived fairness in who gets picked. An AI follow-up interview reconstructs exactly what happened the last time someone's request was approved or denied, surfacing friction points a satisfaction score alone would miss.

Evaluates how well an automated attendance bot handles check-ins, corrections, and notifications for employees or students, and pinpoints where it breaks down. An AI follow-up interview walks through a recent mix-up step by step. Built for HR, IT, and school administrators piloting or refining an attendance-tracking bot.

Measures how easy, fast, and clear the booking request process felt — from submitting the request to getting confirmed — for hotels, salons, venues, clinics, and other appointment-based businesses. An AI follow-up interview reconstructs exactly where delays or confusion happened instead of relying on one satisfaction score.

Sorts respondents into a Divergent-inspired faction — Abnegation, Dauntless, Erudite, Amity, or Candor — using real scenario choices and value trade-offs instead of a simple self-label. Built for fan communities, book clubs, and entertainment marketing teams running engagement quizzes; the AI follow-up interview digs into why a respondent feels torn between factions or picked against their own ranked values.

Explores how freelancers and independent contractors actually handle self-employment tax — quarterly payments, deductions, tools, and confidence gaps — with an AI follow-up that digs into the moment their tax bill or process went sideways. Built for tax software makers, accounting firms, and platforms serving the self-employed.

Captures exactly what hardware, software, and workspace setup a new hire needs before day one — role, location, monitors, and accommodations — with an AI follow-up that digs into specialized tools or accessibility needs a standard checklist would miss. Built for HR and IT teams provisioning incoming employees.

Captures why people donate books to the library, how smooth the drop-off process felt, and what would make them donate again — with an AI follow-up that digs into the real story behind their rating instead of just the number. Built for library staff and Friends-of-the-Library groups managing donation programs.

Captures how smooth, clear, and motivating the sign-up process felt for people who just joined a club — from discovery through payment and confirmation. An AI follow-up interview digs into exactly where new members got stuck or delighted, giving club administrators concrete fixes instead of a generic satisfaction score.

Tracks how people in a weight loss program, coaching service, or health app are actually progressing — what's getting in their way, where they're putting effort, and which support features they'd value most — with an AI follow-up that reconstructs the last time they fell off track and what would have changed the outcome. Built for programs and coaches optimizing retention and results.

Measures how easy, clear, and fair the leave request process feels to employees — from submitting a request to getting a manager's response — for HR and People Ops teams auditing their time-off policies. An AI follow-up interview reconstructs exactly what happened during the respondent's most recent leave request, surfacing friction points that satisfaction scores alone miss.

Measures how patients experience the intake journey between referral and first treatment — communication clarity, wait-time transparency, and booking friction — for clinics and healthcare providers managing referral-to-treatment pathways. An AI follow-up interview reconstructs exactly where the process broke down or worked well, beyond a satisfaction score.

Captures the business case behind a request to open or backfill a role — driver, urgency, cost, alternatives considered, and success metrics — for HR and Finance to evaluate headcount requests consistently. An AI follow-up interview stress-tests the requester's reasoning on why now, why this level, and what happens if the request is delayed or denied.

Checks whether a customer's site, access, and expectations are ready ahead of a scheduled installation appointment — for home services, telecom, solar, HVAC, security, or appliance install teams. An AI follow-up interview digs into the specific site obstacles and past-install worries behind a customer's readiness rating so crews can plan around them instead of discovering them on-site.

Evaluates how easy, fast, and frustration-free your expense reporting process really is for employees who submit and get reimbursed for business costs. Includes an AI follow-up interview that reconstructs a recent real submission to surface exactly where the process breaks down, beyond generic satisfaction scores.

Captures how models experienced a specific casting call — check-in, wait times, staff professionalism, and clarity of next steps — for talent agencies and casting directors who want to improve how they run open calls. An AI follow-up interview reconstructs exactly what happened during the respondent's audition slot instead of relying on a single satisfaction score.

A personalization intake used by retailers, subscription boxes, personal stylists, and hospitality/concierge teams to learn what a customer genuinely loves — favorite categories, aesthetics, flavors, and current go-to brands — so recommendations and gifts land. An AI follow-up interview digs into the emotional 'why' behind their stated favorite to surface details a checkbox list can't capture.

Captures how a trip actually went — booking experience, on-trip satisfaction, value for money, and likelihood to return or recommend — for hotels, tour operators, and travel platforms. The AI follow-up interview digs into the single best or worst moment of the trip to surface what operators should keep doing or fix next.

A flexible market study for testing demand, pricing, and competitive positioning for a new or improved product/service. Covers current alternatives, feature priorities, price sensitivity, and purchase intent, with an AI follow-up interview that digs into the real reasons behind stated purchase likelihood and price reactions.

Finds the best date, time, and format for an upcoming meeting or event by checking real availability against a shortlist of options — for anyone coordinating a group across busy calendars. The AI follow-up digs into the scheduling conflicts and recurring constraints that a simple poll misses, so organizers don't pick a slot that quietly excludes key people.

A pre-session intake for therapy and counseling practices that captures presenting concerns, symptom frequency, safety screening, and personal goals before the first appointment. An AI follow-up interview explores the client's own account of what's going on and what they hope will change, giving clinicians richer context than checkboxes alone before the first session.

Captures a new acupuncture patient's health history, presenting complaint, and treatment goals before their first visit, with an AI follow-up that probes the story behind their main complaint the way a practitioner would in an initial consult. Built for acupuncture and TCM clinics streamlining intake paperwork.

Measures how SEO clients actually perceive results, reporting clarity, communication, and value from their agency or consultant — for quarterly or renewal-time check-ins. The AI follow-up digs into the real reason behind a client's loyalty score instead of taking the number at face value.

Captures how actors experienced your casting process — clarity of materials, professionalism in the room, and fairness of communication — for casting directors and production teams who want to protect their reputation with talent. The AI follow-up digs into the single best or worst moment of the audition to find out exactly what happened and why.

Diagnoses what keeps subscribers renewing a recurring box — unboxing experience, product-value fit, and pricing sensitivity — using a best-worst trade-off to prioritize curation levers and an AI follow-up that surfaces the real reason behind a subscriber's renewal or cancel intent. Built for subscription box brands optimizing retention.

Gauges how employees feel about leadership, growth, workload, and culture, and prioritizes which issues matter most through a best-worst trade-off exercise. An AI follow-up interview digs into the story behind the recommendation score, surfacing specifics HR and leadership can act on instead of vague satisfaction numbers.

Assesses how a disability or health condition affects someone's ability to perform daily work tasks and which accommodations are working or missing. Built for HR, disability management, and occupational health teams, with an AI follow-up that turns the single biggest functional barrier into a concrete, real-world example instead of a checkbox.

A structured manager assessment of how a new hire is performing during their probationary period, covering core competencies, training support, and readiness for confirmed employment. An AI follow-up interview probes the concrete incidents and evidence behind the manager's recommendation rather than just the rating, producing feedback the employee can actually act on.

A fast, informal read on where members, attendees, or stakeholders currently stand on a specific industry issue, standard, or proposal — before it goes to a formal vote or decision. The AI follow-up interview digs into the reasoning behind each stance and what evidence or changes would actually shift it.

Tracks voter intent, approval of current leadership, and which issues actually drive the decision — with an AI follow-up that surfaces the real reasoning behind a candidate choice instead of the socially acceptable version. Built for campaigns, pollsters, and newsrooms running pre-election tracking surveys.

Captures how candidates experienced a phone screen or phone interview — clarity of communication, respect for their time, and interviewer impression — with an AI follow-up that digs into the single moment that most shaped their impression of your company. Built for recruiters and talent acquisition teams auditing screening quality.

A pre-session intake for life coaches that maps a new client's priority life areas, readiness for change, and confidence levels — then uses an AI follow-up interview to surface the real story behind their stated goal so the first session starts with clarity instead of small talk.

Captures a new or returning client's hair type, chemical history, sensitivities, and styling goals before their appointment, so stylists arrive prepared instead of guessing. An AI follow-up interview digs into the client's hair story and what 'success' looks like to them, surfacing details a checkbox form would miss.

A baseline assessment for gyms, trainers, and wellness programs to capture current activity levels, self-rated fitness across key domains, and top goals — plus a best-worst trade-off to prioritize what matters most. The AI follow-up interview digs into the real story behind a client's top goal and biggest barrier, so trainers get context spreadsheets never show.

Captures a pet's health history, current symptoms, behavior, and vaccination status before a veterinary visit, for clinics streamlining new or returning patient check-ins. The AI follow-up interview reconstructs the timeline and details of the pet's main symptom so staff arrive at the exam room already briefed.

Captures how a prospective buyer or renter evaluated a specific property right after a tour or showing — condition, price fairness, must-have features, and likelihood to move forward. An AI follow-up interview digs into the real reasons behind their interest level and any dealbreakers, giving agents and property managers insight closed-ended ratings alone can't provide.

Measures how readers actually consume a magazine — print or digital — how satisfied they are with specific sections, and which content types they'd trade off against each other. An AI follow-up interview digs into the real story behind each reader's satisfaction or recommendation score, surfacing the specific articles, sections, or frustrations that closed questions miss.

A pre-appointment intake for mental health clinics that captures a patient's presenting concern, symptom frequency across common domains, functional impact, safety status, and treatment history before a first psychiatric visit. An AI follow-up interview reconstructs concrete recent examples behind the ratings and checks in sensitively on any safety responses. Not a substitute for crisis assessment.

A structured self-assessment for Good Manufacturing Practice audits — covering documentation, training, equipment, supplier qualification, validation, and CAPA management. An AI follow-up interview digs into the root cause behind your most significant finding, going beyond a pass/fail checklist to surface systemic issues before the next regulatory inspection.