For CPOs, VPs of Product, and Enterprise AI Leaders

Build AI Products People Actually Trust.

Rigorous quantitative and qualitative research that reveals why users and employees adopt—or abandon—your AI systems. No psychological tricks—just demonstrably trustworthy product design.

73%

of enterprise AI abandonments stem from agency loss

3.4x

higher adoption when trust is engineered into product gates

Our Philosophy

Tricks are not trustworthiness.

Trust built on manipulation collapses under scrutiny. We design for the kind of trust that survives real use.

Surface-Level Trust Hacks

  • Dark patterns
  • Artificial empathy
  • Hidden confidence scores
  • Opaque automation

Product-Level Trustworthiness

  • Granular human agency
  • Verifiable quality metrics
  • Safety by architecture
  • Transparent feedback loops

The Framework

The 3 Pillars of AI Trust

Every engagement is evaluated against three pillars—the foundation of demonstrably trustworthy AI products.

Risk Mitigation & ComplianceSafe to Use
Data privacy
Hallucination bounds
System guardrails
Threat mitigation
Psychological safety

Methodologies

Mixed-methods research, end to end

We pair qualitative depth with quantitative rigor—across internal employee programs and consumer-facing apps.

Qualitative

Why people trust—or walk away

  • In-depth behavioral interviews
  • Telemetry-backed usability testing
  • Cognitive walkthroughs
  • Trust-breakdown friction mapping

Quantitative

Measurable trust, at scale

  • Scale-validated trust index benchmarking
  • Statistical drop-off analysis
  • Feature adoption surveys
  • Automated sentiment tracking

Solutions

Two surfaces. One trust discipline.

Trust failures look different in a customer product than in an internal program. Our approach adapts to both.

01Uncover customer skepticism before it becomes churn
02Reduce churn driven by broken trust moments
03Increase feature engagement and sustained usage
04Build defensible brand trust in your category

Insights

Research notes and trust benchmarks, coming soon

We're preparing published findings from our trust research—the patterns that separate AI products people rely on from the ones they quietly stop using.

AI Trust Audit

Ready to Benchmark Your AI's Trust Deficit?

Schedule an initial 45-minute AI Trust Audit. We'll evaluate your current product touchpoints against our 3 Pillars Framework.

  • 45-minute working session with a senior researcher
  • Pillar-by-pillar read on your current touchpoints
  • Concrete next steps you can act on immediately