01
Frame
What decision are we actually making?
- Separate the symptom from the system
- Define the customer and business outcome
- Name constraints, assumptions, and non-goals
Output
Product thesis
02
Align
What evidence can every function trust?
- Bring behavior, operational, and system signals together
- Make competing incentives visible
- Set decision rights and ownership boundaries
Output
Decision brief
03
Commit
What will we fund, sequence, and stop?
- Compare bets on impact, confidence, and leverage
- Expose accepted costs and dependencies
- Create a roadmap teams can execute against
Output
Outcome roadmap
04
Learn
What evidence changes the next decision?
- Instrument outcomes and leading signals
- Review misses without hiding variance
- Update the strategy, not just the backlog
Output
Learning review
How I lead
Influence is a designed system.
I build alignment by making the problem, evidence, tradeoffs, and decision rights legible. That lets engineering, design, data, operations, and business leaders disagree productively.
The model applies across deterministic platforms and probabilistic AI products. The quality bar changes, but the leadership work does not.