개인정보·컴플라이언스

데이터 처리에 대한 고객 신뢰, 인지된 동의 명확성, 프라이버시 제어 선호도를 측정합니다. 투명성 개선, 옵트인 흐름 최적화, GDPR/CCPA 준수 전략 수립을 원하는 이커머스 팀을 위해 설계되었습니다.

Measures customer trust, comfort, and consent preferences regarding international personal data transfers. Use this instrument to identify key drivers of acceptance, benchmark transparency satisfaction, and inform GDPR-aligned communication strategies.

Measures employee perceptions of phishing simulation realism, behavioral responses, confidence changes, and training preferences to help security teams optimize their awareness programs.

Evaluates team-level preparedness for SOC 2, ISO 27001, HIPAA, and other compliance audits. Use this to identify control gaps, evidence retrieval challenges, and resource priorities before your next audit cycle.

Assesses internal stakeholders' experience with contract workflow visibility, SLA adherence, and cycle times to identify process bottlenecks and prioritize improvements.

제3자 리스크 공개 및 완화 방안이 팀 전반에 얼마나 명확하게 전달되는지를 평가합니다. GRC, 보안, 구매 및 공급업체 리스크 정보를 다루는 기타 이해관계자를 대상으로 설계된 본 도구는 접근성, 가독성, 실행 가능성의 격차를 파악하여 목표에 맞는 개선을 이끌어냅니다.

Assesses a vendor's security controls, certifications, data handling, and incident history for procurement, security, and compliance teams running third-party risk reviews. An AI follow-up interview digs into the vendor's single most significant unresolved risk instead of accepting a checklist of certifications at face value.

Assess the workload burden, pain points, and automation readiness of teams handling vendor security questionnaires. Designed for security, GRC, procurement, and IT professionals to inform process improvement priorities.

Evaluates e-discovery software usability, workflow pain points, and feature priorities across the EDRM lifecycle. Designed for legal professionals, litigation support teams, and legal operations who use e-discovery platforms on active matters.

Evaluates clarity, trust, friction points, and completion outcomes across electronic signature workflows. Designed for UX researchers and product teams seeking to identify and prioritize improvements in their signing experience.

Measures legal professionals' adoption levels, satisfaction, barriers, and safeguard requirements for AI-assisted contract review and redlining. Designed for legal operations, in-house teams, and law firm practitioners.

Measures how well users understand your data retention policy, evaluates the discoverability and usability of retention-related controls, and identifies preferred communication formats to inform UX and compliance improvements.

Measures how well employees recognize threats, follow security policy, and actually behave when something looks suspicious — not just what training they sat through. An AI follow-up interview digs into a real recent moment of hesitation or doubt to surface the gaps that policy audits miss.

Assesses how well employees and business travelers understand, trust, and can withdraw consent for travel-related data collection like itinerary sharing, location tracking, and duty-of-care programs. Built for privacy, compliance, and travel program teams, with an AI follow-up that surfaces the real reasons behind any hesitation or discomfort.

Measures which trust cues, social proof elements, and onboarding flows most effectively build user confidence during first-time website and app visits. Designed for UX researchers and product teams optimizing conversion funnels.

Captures a structured first-hand account of a suspected or confirmed security incident — what happened, what systems or data may be affected, and how contained it is — for IT, security, and compliance teams. An AI follow-up interview reconstructs the actual timeline of discovery and response instead of relying on a rushed written summary.

Measures employee friction with multi-factor authentication prompts, backup method clarity, and step-up authentication impact to guide security UX improvements and reduce authentication-related workflow disruptions.

뱅킹 고객을 대상으로 음성 생체 인증에 대한 인지도, 보안 인식, 사용 경험, 도입 의향을 측정합니다. 고객의 음성 기반 신원 확인 수용 준비도를 평가하려는 금융 기관에 적합합니다.

Measures how users interpret, evaluate, and act on app privacy nutrition labels using a concept-testing methodology with comprehension checks, trust and usefulness scales, and preference ranking. Suitable for UX researchers, privacy teams, and compliance professionals seeking to optimize label design.

Measures how users interpret, trust, and engage with online platforms' transparency reports. Designed for researchers and compliance teams evaluating perceived clarity, credibility, and improvement opportunities.