How I measure
Receipts over rhetoric means showing work. Here's how each number is sourced.
Methodology
📈
Dashboard exports Admin dashboards, analytics tools
🔧
Internal tools Feedback systems, org trackers
🔍
Keyword analysis Theme extraction from text
📊 Impact & Scale
Years building software systems 20+ years
resume Career span from 2005
Identity platform monthly active users 60K+ MAU
dashboard Auth0 dashboard
Architecture reviews/designs chaired with domain teams 50+ per year
export Internal review tracker
High-stakes programs supported ~5 per year
export Cross-functional program involvement
🤖 AI Enablement
Engineers AI-enabled ~300 engineers
dashboard Org-wide rollout dashboard
Weekly AI tool adoption rate 40%
dashboard Copilot admin dashboard
💬 Stakeholder Feedback
Over the years, I've collected feedback from colleagues, stakeholders, and leadership. Here's what the data shows:
78
Total feedback entries
62
Unique people giving feedback
Themes mentioned in feedback
Percentage of feedback entries containing keywords related to each theme (keyword-based scan)
Collaboration 78%
Technical depth 64%
Innovation 62%
Helpful & available 49%
Strategic vision 44%
Execution 44%
Positive energy 41%
Leadership 40%
Keywords scanned include variations of: execution, delivery, technical, architecture, enable, coach, stakeholder, alignment, proactive, prepared, leadership, presence, etc.
What's intentionally omitted
- • Program names and internal project codenames
- • Customer or contract details
- • Proprietary financial figures
- • Anything that could identify individuals
Notation
~— Approximate / directional+— At least / minimum- Ranges indicate variance across time