Product strategy, executive judgment, organization design, and operating cadence.
Product strategy, executive judgment, organization design, and operating cadence.
View all topics →AI product teams fail when leaders treat data science and software engineering as the same workflow with different job titles. The more effective approach is to recognize the overlap, keep the lifecycle stages distinct, and switch the team’s operating mode at the right moment.
Read →Most bloated backlogs are really avoidance devices. The three sprint rule forces teams to keep only a short window of real commitment, scope MVPs to fit that window, and let fresh customer signal reset the priorities.
Read →The wrong way to assign AI leadership is by defaulting everything to data science or everything to engineering. The right way is to ask whether the team is still exploring the path forward or already implementing against a clear one.
Read →If AI is delegated labor, the org chart has to show where that labor sits, who supervises it, and how managers are held accountable for blended output. Most companies aren't even drawing that picture yet.
Read →Non-linear careers look messy from the inside and obvious in hindsight. The operating advantage is the pattern recognition they create across systems, not the novelty of the path itself.
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