The practice behind
the model.

The immediate push was personal. For years I explained my approach to my teams the only way I could: piece by piece, whenever a situation called for it. The whole picture had crystallized in my head over two decades — but nobody could assemble it from fragments delivered in design reviews and hallway conversations, and with every new person who joined, the explanation started over from the beginning. Then a colleague remarked that working with me was a rare case where technical direction and best practices aren't isolated decisions but parts of one coherent philosophy — and the conclusion became obvious: write it down.

The deeper reason is that the philosophy answers a problem much bigger than my own teams. I kept having the same conversation. In organization after organization, I would find the same pattern: talented people, genuine commitment to quality, real effort — and still, 75–90% of what was built failed to move the needle for customers.

Seeing these patterns repeat across different organizations got me thinking about what they had in common. What I came to understand is that these patterns appear when an organization is missing a coherent operating system — something to connect what customers actually need to what gets built and shipped.

Product strategy was disconnected from engineering reality. Customer discovery was disconnected from delivery cadence. Continuous improvement was substituted by retrospective meetings with no follow-up. Every discipline existed in its own world — and the connective tissue between them was missing.

I've spent my career trying to build that connective tissue. D.I.D. is the formalization of what I've learned about how to do it. And instead of creating yet another framework to comply with, I'm framing it as an operational model to build and own.

Written from practice

Everything in this book was learned and tried over the years — built, argued over, resisted, and refined inside real product organizations under real delivery pressure. The bug-case transformation that cut monthly defect counts by roughly 80% gets a chapter of its own. When something only worked under specific conditions, I say so — and when I got it wrong the first time, I say that too.

What "uncompromising" means

The book is uncompromising first about what value actually means: value is a measurable change in customer behavior — not features shipped, deadlines met, or velocity achieved. Everything else in the operational model follows from holding that line, and most of the difficulty of adopting D.I.D. comes from how much of the conventional playbook has to be given up in order to hold it.

It is equally uncompromising about grounding. The model is built on scientifically and empirically proven foundations — Jobs-to-be-Done theory, the research behind Continuous Delivery, Team Topologies, Toyota Kata — and it demands the same standard from the organizations that adopt it: the direction forward is chosen on scientific and empirical evidence, not on opinion, seniority, or convention.