산업별

Tracks how the public rates the current President's overall performance, trust, and handling of specific issues like the economy and foreign policy — for pollsters, newsrooms, and researchers who need a quick pulse read. An AI follow-up interview digs into the specific event or issue actually driving each respondent's rating, not just the label they picked.

Tracks how people actually spend time across streaming, social, news, podcasts, and print, which factors drive platform and subscription choices, and how much they trust what they consume. An AI follow-up interview digs into the story behind a recent change in habits — a dropped subscription, a new app, or a shift away from a channel — instead of just the stated reason.

Measures how a candidate's work style, decision-making habits, and workplace values line up with your organization's culture — covering autonomy, pace, feedback style, and collaboration — with an AI follow-up that surfaces how they've actually handled real culture clashes rather than how they'd like to answer.

Captures fans' pre-game predictions — winner, score, MVP, and the factors they think will decide the outcome — plus how confident and excited they are. Built for sports media brands, leagues, and fan engagement apps, with an AI follow-up that digs into the reasoning behind each fan's boldest or most contrarian pick.

Measures how easy, clear, and fair the leave request process feels to employees — from submitting a request to getting a manager's response — for HR and People Ops teams auditing their time-off policies. An AI follow-up interview reconstructs exactly what happened during the respondent's most recent leave request, surfacing friction points that satisfaction scores alone miss.

Measures how businesses currently calculate and rely on marginal cost figures for pricing, production, and sourcing decisions, and surfaces where existing spreadsheets or tools fall short. An AI follow-up interview reconstructs a real recent decision where marginal cost data was pivotal, revealing what inputs, assumptions, and blind spots actually shaped it.

Measures how shoppers actually experience your grocery store — shopping frequency, stock availability, checkout, staff, and pricing — and prioritizes which fixes matter most. An AI follow-up interview reconstructs the real story behind a shopper's most recent trip instead of settling for a bare rating.

Captures real-world eating and activity patterns, what's blocking consistency, and what actually keeps people motivated — for wellness programs, coaches, and fitness apps designing support that matches how people actually live. An AI follow-up interview digs into the specific barrier behind someone's confidence score instead of settling for a generic checkbox.

A geography knowledge check covering the seven countries of Central America — capitals, borders, coastlines, and relative position — built for educators, trainers, and content teams assessing baseline map literacy. An AI follow-up interview digs into how respondents reasoned through the trickiest matches and where their mental map of the region breaks down.

직원들이 회사 문화를 실제로 어떻게 경험하는지 — 심리적 안전감, 가치관 일치, 관리자의 실천, 그리고 일상적인 행동 — 을 측정하며, 단순히 명문화된 정책만을 다루지 않습니다. AI 후속 인터뷰를 통해 가장 의미 있는 평가 뒤에 숨은 이야기를 깊이 파고들어, 척도만으로는 담아낼 수 없는 구체적인 순간들을 드러냅니다.

Measures how included, fairly treated, and supported people of all genders feel at work — covering belonging, perceived fairness in promotions and pay, comfort reporting concerns, and which initiatives would help most — with an AI follow-up that surfaces the specific incidents and barriers behind the scores instead of vague sentiment. Built for HR, DEI, and people teams running culture pulse checks.

Captures how passengers rated every touchpoint of a recent flight — booking, check-in, boarding, cabin service, and disruption handling — and prioritizes which improvements matter most. An AI follow-up interview digs into the specific moment that drove the passenger's overall rating, surfacing the concrete 'why' behind the score.

Measures how much control people feel they have over key areas of their life — work, money, health, relationships, and time — plus what's driving that feeling. An AI follow-up interview digs into the one domain where control feels lowest, reconstructing a real recent moment instead of relying on abstract self-ratings.

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 LGBTQ+ audiences and allies encounter and judge queer representation in film, TV, and streaming — how often they see it, where, and whether it feels authentic — with an AI follow-up interview that digs into one specific portrayal that shaped their view. Built for media researchers, studios, and advocacy orgs.

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.

Captures how audiences rate a movie's story, acting, visuals, and pacing right after watching it, plus their likelihood to recommend it — with an AI follow-up that digs into the specific scene or moment that actually shaped their overall opinion. Built for studios, distributors, and festivals collecting post-screening feedback.

Measures whether your team's remote daily scrum actually surfaces blockers and aligns work, or has drifted into a status-reporting ritual. Covers time-boxing, psychological safety, format, and top friction points, with an AI follow-up that reconstructs a real recent example instead of vague impressions. Built for scrum masters, engineering managers, and agile coaches running distributed teams.

Captures how a development team felt about the sprint that just ended — goal completion, planning accuracy, collaboration, and workload sustainability — with an AI follow-up that digs into the real story behind blockers and missed goals instead of the sanitized version teams give in stand-up.

Measures how easy, fair, and transparent employees find the process of requesting vacation, personal, or sick time — from submission method to manager responsiveness and decision speed. Built for HR and people-ops teams auditing their leave policy, with an AI follow-up that reconstructs exactly what happened on a recent request instead of relying on vague satisfaction ratings.