Privacy & Compliance

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.

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.

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.

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.

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.

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.

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.

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.

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.

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 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.

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 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.

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 awareness, security perceptions, usage experience, and adoption intent for voice biometric authentication among banking customers. Suitable for financial institutions evaluating customer readiness for voice-based identity verification.

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.

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.

Evaluates how clearly third-party risk disclosures and mitigations are communicated across teams. Designed for GRC, security, procurement, and other stakeholders who interact with vendor risk information, this instrument identifies gaps in accessibility, readability, and actionability to drive targeted improvements.

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.

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.