개인정보·컴플라이언스

Captures explicit, informed consent before recording a call, interview, or research session, and checks participants' comfort with how the recording will be stored, shared, and retained. An AI follow-up interview surfaces any hesitations or conditions in the person's own words — built for research, support, and compliance teams who need a documented, genuine 'yes' before they hit record.

개인정보 보호, 법무 및 조달 전문가가 공급업체 데이터 처리 계약(DPA)의 명확성, 협상 가능성 및 워크플로우 효율성을 평가하고 병목 지점과 개선 우선순위를 파악하기 위한 내부 평가입니다.

A complete consent flow for research studies: plain-language study information, granular consent statements with a comprehension check, signature capture, and contact enrollment. Built for IRB-style requirements — participants confirm they understand, not just that they scrolled.

Measures how well product administrators understand role-based access control concepts, permission scopes, and inheritance behaviors. Use this to identify confusion points, predictability gaps, and documentation needs that impact governance and security posture.

Captures how comfortable people are with having their photo, video, or quote used in marketing, training, or press materials — and under what conditions. The AI follow-up interview digs into the reasoning behind any hesitation so legal and marketing teams know exactly what conditions to honor, not just a yes/no checkbox.

Measures consumer experiences with data subject access requests and expectations around response timelines, suitable for organizations assessing GDPR/CCPA compliance perceptions and identifying friction points in the DSAR process.

Measures research participants' comfort with anonymized data sharing, preferred licensing models, repository preferences, and required safeguards. Designed for IRB-compliant studies where researchers need informed consent data on secondary data use.

Measures user and organizational preferences for data storage location, cross-border transfer conditions, and governance trade-offs to inform product policy, compliance strategy, and trust-building initiatives.

An internal stakeholder survey to assess organizational readiness for passkeys/passwordless authentication, surface security and UX risks, and align cross-functional teams on rollout priorities.

Measures which trust signals—testimonials, badges, and statistics—most influence online buyers' credibility perceptions and purchase intent. Designed for prospects actively researching products or services.

제품 UX 및 설정 경험 설계에 반영하기 위해 주택 소유자를 대상으로 스마트홈 편안함 수준, 기기 제어 선호도, 제조사 기본 설정에 대한 태도를 조사합니다.

A pre-appointment health-screening and informed-consent form for lash extension clients that captures allergy history, current medications, contact lens use, and aftercare understanding, plus a signed consent record. An AI follow-up interview clarifies any health disclosures or unclear aftercare answers before the technician proceeds, so studios document genuinely informed consent, not just a checked box.

Captures whether spa clients truly understand and freely consent to treatment risks, health disclosures, and photo or data use before their appointment — built for spa managers and compliance teams. The AI follow-up interview explores any hesitation or confusion behind risk-factor answers instead of settling for a checked box.

Evaluates how clearly candidates or employees understood a background check disclosure and authorization request — including whether they felt informed, unrushed, and free to ask questions. An AI follow-up interview digs into the specific moment they hesitated or felt unclear, surfacing wording and process fixes that reduce compliance risk and candidate friction.

Measures user trust, comfort boundaries, and permission preferences for on-device personalization features. Designed for product and privacy teams validating data-handling approaches before launch.

Evaluates consumer perceptions of SMS marketing consent flows and opt-out experiences to identify UX friction points and TCPA compliance gaps. Designed for brands seeking to improve trust, clarity, and regulatory readiness in their text messaging programs.

Evaluates how users discover, understand, and interact with cookie consent and preference-center interfaces. Use this survey to identify UX friction points, trust gaps, and feature priorities that affect compliance and conversion.

A pre-interview consent form that confirms participants understand what they're agreeing to — recording formats, how their words may be used, and their right to withdraw — plus an AI follow-up that catches confusion or hesitation before the real interview starts. Built for researchers running qualitative interviews, usability sessions, or customer discovery calls.

A UX research instrument that evaluates clarity, trust, and usability of GDPR consent messages and privacy preference center controls through A/B stimulus comparison and behavioral preference measures.

Evaluates user experiences with data deletion, export, and portability flows across digital services. Designed for UX researchers and compliance teams seeking to identify friction points and improve data-control interfaces.