Industry-Specific

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.