Better signals lead to better decisions.
Signal Integrity Advisory — Decision Intelligence & Performance Advisory
Case Studies

How measurement changes the conversation.

Representative engagements showing how stronger signals improve visibility, decisions, and outcomes.

Use cases

Human risk →Portfolio health →AI value →
Human Defense & Trust

Turning real phishing reports into a human sensor program.

Problem

Employees were primarily measured through simulated failures, while real-world detection success received little visibility or reinforcement.

Approach

Designed a Phishing as a Bug Bounty model with eligibility rules, validation, recognition, measurement, and abuse controls.

Result

The program reframed employees as active defenders and created measurable visibility into threats that bypassed technical controls.

Human performance

Replacing phishing click rates with a maturity model.

Problem

Leaders could see simulation clicks, but not resilience, reporting quality, or repeat behavior.

Approach

Created a balanced measurement model using recognition, reporting, interaction, self-correction, and recidivism.

Result

Executive reporting shifted from blame and activity toward risk concentration and targeted intervention.

Organizational performance

Turning project status into portfolio signals.

Problem

Green status reports hid dependency, capacity, and decision risks.

Approach

Introduced schedule predictability, risk aging, dependency health, and decision latency measures.

Result

Leadership could intervene earlier and prioritize the work most likely to affect outcomes.

Responsible AI

Measuring whether AI adoption created value.

Problem

Usage increased, but leaders could not show productivity, quality, or risk impact.

Approach

Defined adoption depth, time saved, quality change, override rate, and risk exposure signals.

Result

AI investment decisions became tied to measurable business value instead of enthusiasm alone.