산업별

Measures how SEO clients actually perceive results, reporting clarity, communication, and value from their agency or consultant — for quarterly or renewal-time check-ins. The AI follow-up digs into the real reason behind a client's loyalty score instead of taking the number at face value.

Measures how homeowners plan renovation projects, select service providers, and make payment and financing decisions. Designed for market researchers seeking insights into budgets, payment method preferences, and financing feature priorities among homeowners.

Captures how job candidates experienced your recruiting and interview process, from job posting through offer or rejection, so talent acquisition teams can spot friction points. An AI follow-up interview reconstructs the specific moment that shaped the candidate's overall impression, surfacing concrete fixes that satisfaction scores alone miss.

사람들이 키오스크부터 주문형 스트리밍 대여까지 영화를 어떻게 선택하고, 결제하고, 어떻게 느끼는지를 카탈로그 만족도, 가격 기준, 기능 우선순위를 아우르며 살펴봅니다. AI 후속 인터뷰는 응답자의 가장 최근 대여 결정 뒤에 숨은 구체적인 사연을 파고들어, 단순히 진술된 선호가 아닌 실제 불편 지점을 드러냅니다. 스트리밍 플랫폼, 키오스크 운영사, 주문형 비디오 팀을 위해 설계되었습니다.

Measures how subscribers rate their cable or satellite TV provider on channel lineup, reliability, price, and support — and uses an AI follow-up to dig into the real reasons behind cord-cutting consideration. Built for pay-TV providers and MVPDs tracking churn risk and renewal drivers.

Collects structured input from employees and leaders on your organization's strengths, weaknesses, opportunities, and threats, then uses a trade-off exercise and an AI follow-up interview to surface which single factor matters most right now and why. Built for strategy teams prepping a SWOT before a planning cycle or board review.

Measures internal stakeholder trust, perceived accuracy, and operational value of digital twins across manufacturing functions. Identifies adoption barriers and investment priorities to guide program improvements.

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.

Measures how readers actually consume a magazine — print or digital — how satisfied they are with specific sections, and which content types they'd trade off against each other. An AI follow-up interview digs into the real story behind each reader's satisfaction or recommendation score, surfacing the specific articles, sections, or frustrations that closed questions miss.

Evaluates lab staff's confidence and proficiency across core bench skills, SOP adherence, and equipment troubleshooting, with an AI follow-up that reconstructs a specific recent error or near-miss to surface real training gaps behind the self-ratings. Built for lab managers and QA leads running periodic competency reviews.

Captures how actors experienced your casting process — clarity of materials, professionalism in the room, and fairness of communication — for casting directors and production teams who want to protect their reputation with talent. The AI follow-up digs into the single best or worst moment of the audition to find out exactly what happened and why.

Maps which retail channels — online marketplaces, brand websites, big-box stores, specialty shops — shoppers actually consider and choose for a specific product category, and why. Built for retail and category managers deciding where to invest in distribution or shelf presence, with an AI follow-up that digs into the deciding factor behind the shopper's top channel pick.

Captures the dietary restrictions, allergies, and intolerances your customers or diners live with, how strictly they follow them, and where current food options fall short — with an AI follow-up that digs into a real recent incident where those needs weren't met and what would have prevented it.

사람들이 얼마나 자주 온라인에서 쇼핑하는지, 실제로 구매 또는 포기 결정을 이끄는 요인이 무엇인지, 그리고 결제·배송·반품 과정에서 어디에서 불편이 발생하는지를 측정합니다. AI 후속 인터뷰는 일반적인 만족도 평가에 의존하는 대신 실제 최근 구매(또는 구매 직전) 순간을 재구성하여, 이탈을 진단하는 이커머스 및 리테일 팀에게 유용합니다.

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.

Measures how easy, clear, and satisfying your product's interface is to use in real day-to-day tasks — combining a multi-element usability rating, a trade-off exercise on what to fix first, and an AI follow-up interview that reconstructs the exact moment a user got stuck instead of relying on vague complaints.

A periodic check-in that measures how often people reflect, how self-aware they feel, and what's actually blocking deeper reflection — paired with an AI follow-up that walks through one real moment of insight instead of vague self-ratings. Built for coaches, HR wellbeing programs, and personal-development tools tracking growth over time.

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.

Diagnoses what keeps subscribers renewing a recurring box — unboxing experience, product-value fit, and pricing sensitivity — using a best-worst trade-off to prioritize curation levers and an AI follow-up that surfaces the real reason behind a subscriber's renewal or cancel intent. Built for subscription box brands optimizing retention.

Measures seller confidence in marketplace policies, dispute resolution, and earnings transparency to identify friction points and prioritize improvements that drive seller retention.