Digital Trust Diagnostic
The Digital Trust Diagnostic shows where credibility breaks across customer-facing digital experiences, based on what people and AI systems can actually observe at the moment of decision. It reveals the gaps traditional UX, security, and brand metrics miss, making credibility risk visible before it shows up as conversion loss, AI discovery loss, or reputational exposure, and turns those gaps into prioritized fixes in days.
The Diagnostic reveals three critical misalignments
You are credible, but users cannot see it. This results in abandonment despite strong fundamentals, increased support burden, and lost conversion.
Surface signals create the appearance of credibility without structural support. This increases reputational risk when claims face scrutiny, fraud exposure rises, or compliance is tested.
Credible content exists, but systems cannot discover or verify it. This leads to lost distribution, search ranking gaps, and exclusion from AI-mediated discovery.
What the Diagnostic Delivers
This is a decision instrument designed to make credibility legible under uncertainty, so teams can see what is breaking, quantify exposure, and sequence fixes that improve conversion and AI-mediated discovery.
A one-page summary of digital trust performance, key credibility risks, and the highest-priority fixes.
Shows exactly where credibility breaks in the dimension, why it matters, and what strong looks like.
A ranked fix list tied to observed evidence, so teams know what to change first and why.
A practical scale that turns scores into shared judgment: what weak, fair, and strong credibility mean.
Built for leaders accountable for growth, credibility, and AI discovery
CMOs, Heads of Digital and CX, Product leaders, and executive teams responsible for trust, conversion, and AI-driven discovery across complex digital ecosystems.
A clear view of where credibility breaks, what it is likely costing you, and what must be addressed first.
The Diagnostic is designed to be decisive, fast to review, and grounded in observable evidence.
A structured credibility readout generated using the Trust Stack methodology.
Deliverable: A Digital Trust Readout with scores, detected signals, and prioritized actions tied to measurable exposure. Timeline: 4–5 business days.
Follow-on engagement to redesign credibility where it breaks and align teams on what changes. Timeline: 2–3 weeks.
Follow-on engagement to implement fixes, test impact, and establish ongoing credibility practices. Timeline: 1–2 months.
Ready to apply the Trust Stack to your business? Start with a diagnostic to identify where credibility breaks and what to address first.