Product growth, AI automation, experiments and the messy middle of senior product work
A practical look at the gap between dashboards and the real moments that decide retention and expansion
Treating pricing as something you design, instrument and iterate - not a one-time spreadsheet exercise
Why shipping useful AI inside a product depends more on workflow design than on the latest model
Patterns from rolling out AI-assisted support without losing the trust you spent years building
Notes from joining complex products and finding leverage without burning trust in the first quarter
How much of senior product work is unglamorous coordination across data, ops and engineering