산업별

Captures how guests rated check-in, room quality, staff, and value after a recent stay, plus their likelihood to recommend and rebook. An AI follow-up interview digs into the real story behind their score — what made or broke the stay — so hotel teams get specifics, not just star ratings.

사람들이 실제로 유기농 식품을 얼마나 자주 구매하는지, 어떤 인증과 표시가 실제로 구매 결정을 좌우하는지, 유기농 라벨에 대한 신뢰도, 그리고 가격 민감도를 측정합니다 — 일반화된 태도가 아니라 최근의 유기농 구매(또는 구매하지 않은) 경험 뒤에 있는 실제 이야기를 재구성하는 AI 후속 인터뷰가 포함됩니다.

부모가 자녀의 안전에 대해 얼마나 안심하는지, 시설이 일상적인 소통을 얼마나 잘하는지, 교직원이 아이들에게 얼마나 따뜻하게 대하는지, 발달 활동이 연령에 적절하다고 느끼는지를 측정합니다. AI 후속 질문은 낮은 안전 또는 소통 점수 뒤에 있는 구체적인 사건이나 부족한 부분을 파고들어, 점수만으로는 놓칠 수 있는 세부 사항을 드러냅니다.

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.

Captures how people are actually pursuing personal growth — which areas they're working on, how consistently they show up, and what's really stopping them — with an AI follow-up interview that digs into the real story behind their biggest obstacle. Built for coaches, app makers, and researchers studying habit formation and motivation.

Captures how often people do laundry, where they do it, which products they reach for, and what actually drives detergent choice, satisfaction, and brand switching — plus a price-sensitivity check. Built for laundry care brands, appliance makers, and retail teams, with an AI follow-up that reconstructs the real story behind a respondent's last purchase or brand switch.

Captures what job seekers are looking for before a job fair — target industries, role types, format preferences, and what actually drives them to stop at a booth — with an AI follow-up that surfaces the real career goals and hesitations behind their answers. Built for recruiters and event organizers planning employer lineups and floor layout.

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.

Screens prospective mentors for a formal mentorship program by capturing their expertise areas, availability, self-assessed mentoring skills, and motivations, then uses an AI follow-up interview to probe real coaching experience and test judgment against a realistic difficult-mentee scenario. Built for program coordinators who need more than a resume to predict mentor follow-through and fit.

사람들이 음주 후 실제로 운전 여부를 어떻게 결정하는지, 어떤 대안을 이용하는지, 어떤 장애 요인이 방해가 되는지, 그리고 그 위험을 실제로 얼마나 크게 인식하는지를 탐구합니다. 예방 캠페인을 설계하는 교통안전 기관, 고용주, 주점, 차량 공유 또는 보험 프로그램을 위해 만들어졌습니다. AI 후속 인터뷰는 가상의 선의가 아닌 마지막 실제 결정 순간을 재구성합니다.

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.

Evaluates mobile subscribers' network connectivity, call quality, app performance, and overall carrier satisfaction using NPS and multi-dimensional quality ratings. Suitable for telecom providers, market researchers, and UX teams benchmarking mobile experience.

Measures which editorial, platform, and social cues drive audience trust in news sources across channels. Designed for media researchers, newsrooms, and platform teams seeking to benchmark perceived credibility and identify the trust signals that matter most.

Measures content creators' perceptions of platform revenue sharing, fee fairness, and payout experiences. Use to benchmark creator satisfaction and identify priority areas for monetization policy improvement.

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.

Assesses core work-style traits—organization, sociability, adaptability, decision-making, and stress response—through rating scales, a values ranking, and a trade-off allocation exercise. Built for hiring, team formation, or coaching contexts. An AI follow-up interview asks about one real recent situation to check whether stated preferences match actual behavior under pressure.

Captures how smooth or frustrating candidates found the process of scheduling their job interview — from first contact to joining the call or arriving on-site. Built for talent acquisition and recruiting ops teams who want to spot friction before it costs them strong candidates, with an AI follow-up that digs into the specific moment scheduling went wrong (or right).

Measures how clear, timely, and supported the maternity leave application process felt for employees who recently applied — built for HR and People Ops teams auditing parental leave policies. An AI follow-up interview digs into the single moment of friction or confusion that mattered most, in the applicant's own words, rather than a generic policy checklist.

Captures the facts of a workplace accident or near-miss — what happened, where, how severe, and what conditions contributed — for safety officers and EHS teams. An AI follow-up interview reconstructs the sequence of events in the employee's own words and probes for root causes that a checklist alone would miss.

Measures consumer trust, perceived quality, and contextual acceptance of AI-generated ads. Designed for advertising researchers and brand strategists evaluating disclosure norms, comfort thresholds, and creative-format preferences.