Industry-Specific

Measures how well employees are able to separate work from personal life, where the biggest pressure points come from (workload, schedule unpredictability, always-on culture), and how supported they feel by managers. The AI follow-up digs into the single most disruptive factor each person names, surfacing a concrete recent example instead of a vague complaint.

Measures how satisfied faculty are with compensation, workload, research support, governance, and career advancement, plus how many are seriously considering leaving. Built for provosts, deans, and faculty affairs offices; the AI follow-up interview digs into the specific reasons behind low scores or leaving intentions rather than just the numbers.

Measures whether your team-building activities actually strengthen trust, communication, and belonging — and which formats are worth repeating versus retiring. Includes prioritization and budget-allocation exercises for planning future events, plus an AI follow-up interview that digs into the specific moment that most changed how someone works with their teammates.

Gathers structured peer feedback on a specific colleague's collaboration, reliability, and communication habits, plus a best-worst ranking of their standout strengths. An AI follow-up interview digs into a concrete recent example behind the ratings, so the feedback reads as evidence, not just scores.

Captures direct reports' candid ratings of their manager's communication, feedback, recognition, and follow-through, plus a best-worst trade-off on which leadership qualities most need development. The AI follow-up interview digs into the concrete story behind the lowest-rated behavior instead of settling for a number.

Measures how candidates experienced your hiring process — from application clarity through interview scheduling, communication, and final outcome — with an AI follow-up that digs into the specific moment that made or broke their experience. Built for talent acquisition teams benchmarking and improving candidate experience.

Tracks how often people watch movies, which formats and platforms they use, and what drives their viewing choices — built for studios, streaming services, and theater chains. An AI follow-up interview reconstructs the decision journey behind a respondent's most recent movie, surfacing friction points closed questions miss.

Explores how people taking GLP-1 medications (Ozempic, Wegovy, Mounjaro, Zepbound, etc.) actually order, eat, and evaluate restaurant meals now that their appetite has changed. Combines portion satisfaction, trade-off prioritization, and an AI follow-up interview that reconstructs a real recent meal to surface concrete menu and pricing fixes. Built for restaurant chains, menu R&D teams, and food-service researchers.

Captures how players actually experience difficulty tuning, progression pacing, monetization fairness, and moment-to-moment session enjoyment. Built for game designers and live-ops teams tracking post-launch sentiment, with an AI follow-up that digs into the specific moment a player felt cheated by difficulty or monetization instead of a generic complaint.

Captures what shoppers came to buy, how they navigated the store, what they did when an item was missing, and how checkout felt — with an AI follow-up that digs into the real reasoning behind substitution choices and navigation friction. Built for retail insights and category management teams.

Evaluates the full moving experience — quote accuracy, how carefully the crew handled belongings, on-time performance, and how damage or loss was resolved — for moving and relocation companies. An AI follow-up digs into what actually happened during the move that a rating alone can't capture.

For wedding planners, venues, and vendors who want a clear read on how couples experienced their service — from first planning email to the last dance. Covers planning support, day-of execution, communication, and value for money, with an AI follow-up that pulls out the specific moment behind a couple's rating instead of a vague impression.

Measures how clients experienced your firm across communication clarity, responsiveness, billing transparency, and case outcome perception. Built for law firms and legal ops teams doing post-matter or annual relationship check-ins, with an AI follow-up that digs into the gap between what clients expected and what actually happened — especially around outcomes and any billing surprises.

Measures how well contractors, plumbers, and cleaners deliver on quote accuracy, punctuality, workmanship, and trust after a completed job. Built for home service businesses tracking repeat-hire risk, with an AI follow-up that digs into the specific moment trust was won or lost rather than a generic satisfaction score.

Captures how buyers and sellers rate their agent on responsiveness, market knowledge, and negotiation, plus how likely they are to refer or reuse them. An AI follow-up reconstructs what actually happened during the negotiation and closing process, surfacing the specific moments that drove satisfaction or frustration.

Measures how confident parents feel about their child's safety, how well the center communicates day-to-day, how warm staff feel toward kids, and whether developmental activities feel age-appropriate. An AI follow-up digs into the specific incident or gap behind any low safety or communication score, surfacing details a rating alone would miss.

Captures how easy it was to book, how clients rate the service and atmosphere, whether pricing felt fair, and how likely they are to return — with an AI follow-up that digs into the real reason behind low rebooking or pricing scores instead of leaving it as a number.

Tracks how members rate equipment, cleanliness, classes, and staff, and flags who's at risk of canceling. An AI follow-up digs into the specific moment or friction point behind low renewal intent, giving retention teams a reason to act on instead of just a number.

Measures how customers experience estimate transparency, timeliness, and work quality at your service department or repair shop, and how those add up to trust. An AI follow-up digs into the specific moment — often around cost or communication — where trust was won or lost.

Measures site visitors' ability to complete tasks, evaluates navigation ease, content clarity, visual design, and load speed, and identifies specific usability barriers. Suitable for intercept or post-visit deployment on any website.