Practical, operator-level insights on product leadership, strategy, and decision-making. Written from the perspective of someone who fixes these problems for a living.
How product teams should think about customer support using the EAT framework (Eliminate, Automate, Too Late). Why support is a strategic lever, not just a cost center, and how to use LLMs to classify customer pain at scale.
Designing a product intake process that doesn't get hijacked by sales. Signal vs noise, sales influence without capture, and trust-preserving decision systems.
A practical explanation of fractional product leadership: what it is, when it works, and what outcomes to expect.
Why timing and stage matter more than title. When fractional product leadership delivers better outcomes than hiring a full-time VP.
How non-technical leaders should think about AI in product. Decision framing, where AI fits vs doesn't, and avoiding AI-first traps.
How to design product strategy when requirements keep changing. Decision-making under uncertainty, and why locking plans too early backfires.
How teams end up building the wrong thing without noticing. Local optimization, false signals of success, and slow drift vs obvious failure.
What to do when leadership alignment is the real product problem. Hidden decision conflict, why product gets blamed, and forcing alignment without politics.
How to tell if you need a product leader or just better PMs. Leadership vs execution gaps, accountability vs output, and hiring clarity.
How to turn customer feedback into product strategy without chaos. Avoiding loudest-voice wins and using decision filters over backlogs.
Why most roadmaps exist to reduce anxiety, not guide decisions. When they help vs hurt, and what clarity actually looks like.
A detailed case study on designing and iterating a system to surface high-signal consulting opportunities. Learn how product thinking, rapid prototyping, and problem refinement led to a working Context Radar tool.