Certified Product
Economist.

Treat engineering spend as a capital allocation problem. Learn to measure Return on Invested Capital (ROIC) for software teams. Map feature costs to revenue outcomes.

Quantify technical debt in dollar terms, not story points. Calculate your Technical Insolvency Date. Build the business case for refactoring that CFOs actually fund.

Understand cost per useful AI output, hallucination rates as economic risk, and inference cost governance. When to build vs. buy AI capabilities.

How technical decisions affect ARR multiples, gross margin, and enterprise valuation. The financial language boards and investors use.

The complete audit process: stakeholder interviews, code-level assessment, financial modeling, and board-ready deliverable creation.

Build inference cost governance frameworks, set up model routing economics, establish AI budget allocation models, and implement Cost of Predictivity tracking.

Conduct technology due diligence for investors: 15 red flags, valuation adjustment methodology, quality of technology reporting, and investment committee presentations.

Continuous PDI monitoring across portfolio companies, DORA metrics benchmarking, Innovation Tax trending, and quarterly board report generation.

Deep mastery of all Richard Ewing tools: PDI Calculator, APER, AUEB, EV-SE, and the AI-powered Audit Interview engine. Build custom scoring models.

Present technical findings in financial language. Board slide creation, executive summary writing, and the art of translating code-level issues into dollar impact.

Launch and scale a product economics consulting practice: pricing models, engagement structures, proposal templates, and client acquisition strategies.

Apply all frameworks to a realistic multi-company case study. Present findings and remediation roadmap. Peer-reviewed by Richard Ewing with personalized feedback.