개인정보·컴플라이언스

Measures consumer trust in organizational data handling, breach response expectations, and permission transparency. Use with general consumer panels to benchmark trust levels and identify priority improvements for privacy practices.

Measures consumer reactions to common dark-pattern design tactics and transparency preferences, providing actionable data on trust drivers for UX and product teams.

Measures how web users perceive, interact with, and evaluate cookie consent banners and privacy preference centers. Ideal for UX researchers and compliance teams seeking to improve consent-interface clarity, fairness, and GDPR alignment.

Measures whether clients getting tattooed truly understood the risks, aftercare, and how their health data, ID, and photos will be stored before they signed — built for tattoo studios and body art compliance teams. The AI follow-up interview digs into the specific moment of signing to surface what was actually explained versus assumed.

Measures how employees actually handle passwords, multi-factor authentication, updates, and suspicious messages day to day — not just what they know in theory. Built for IT and security teams auditing awareness programs, with an AI follow-up that reconstructs a real near-miss or incident instead of a hypothetical one.

계정 삭제 및 데이터 소거 흐름의 접근성, 명확성, 노력, 신뢰성을 평가합니다. GDPR/CCPA 기준에 따라 소비자 대상 디지털 서비스를 감사하는 UX 연구자 및 규정 준수 팀을 위해 설계되었습니다.

필수 컴플라이언스 교육의 명확성, 몰입도, 지식 유지, 실무 적용도를 평가하여 L&D 및 컴플라이언스 팀이 콘텐츠의 미비점을 파악하고 전달 형식을 최적화할 수 있도록 돕습니다.

Measures consumer perceptions of fairness, transparency, and trust in cookie paywalls versus privacy-friendly content-access alternatives. Designed for UX researchers, privacy professionals, and publishers seeking GDPR-aligned consent insights.

Measures how ecommerce customers perceive and respond to fraud-prevention steps during checkout, identifying the trade-offs between security friction and conversion to guide UX optimization.

Measures user experience, satisfaction, and trust impact across the account and data deletion journey. Designed for product, privacy, and compliance teams seeking actionable feedback to reduce friction and support GDPR/CCPA requirements.

Measures user fatigue with GDPR cookie consent banners and preferences for privacy control interfaces. Designed for UX researchers and compliance teams seeking to improve consent experiences based on real browsing behavior.

Measures how employees feel about AI-based monitoring and quality-scoring tools at work — covering comfort, trust, fairness, and behavior change — with an AI follow-up that reconstructs one specific moment monitoring affected them instead of abstract opinions. Built for HR, legal, and workplace-technology teams evaluating or rolling out AI monitoring practices.