Industry-Specific

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.

Measures how clearly a presentation landed with its audience — content quality, delivery, pacing, and whether people can actually act on it — with an AI follow-up that digs into the specific moment or gap that shaped each attendee's overall verdict. Built for trainers, conference organizers, and internal comms teams reviewing a specific talk or workshop.

A confidential board-administered review of the Executive Director's leadership, financial stewardship, fundraising, staff culture, and governance partnership. Combines multi-area rating batteries, a prioritization exercise, and an AI follow-up interview that digs into the reasoning behind the overall rating and contract recommendation, giving the board a richer picture than scores alone.

Evaluates how well a team communicates, makes decisions, shares workload, and supports its members — straight from the people doing the work. Built for managers and HR running regular team health checks, with an AI follow-up that digs into the real story behind whatever obstacle or low score members flagged, not just the number they gave it.

Assesses how employees or candidates actually use a target language on the job — across speaking, listening, reading, and writing — for HR, L&D, and global teams making staffing or training decisions, with an AI follow-up interview that stress-tests self-reported confidence against a real recent high-stakes work conversation.

A confidential pulse check on communication, recognition, workload, and trust in leadership — for HR and people teams who want honest signal without retaliation fears. An AI follow-up interview digs into the story behind each person's lowest-rated area, surfacing specifics that a number alone never would.