Industry-Specific

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.

Measures how customers, employees, and other stakeholders perceived your company's official response to a recent incident or controversy — its clarity, credibility, and effect on trust — with an AI follow-up that uncovers exactly what shaped their reaction. Built for comms, PR, and exec teams evaluating crisis messaging.

Measures how fairly employees believe compensation is distributed across gender, race, tenure, and role, and pinpoints which pay decisions or comparisons shape that perception. Built for HR and People Analytics teams auditing pay equity, with an AI follow-up that reconstructs the specific story behind a respondent's lowest fairness rating instead of just the number.

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.

Measures how smooth (or frustrating) the sign-up process was for a sports league, camp, or class, what actually drives program choice, and how participants perceive the registration fee — with an AI follow-up that reconstructs the specific moment registration got confusing or almost led to abandonment.

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.