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Essays on the systems, frameworks, and human dynamics that make — or break — product delivery at scale.
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More Clarity, Less Noise
by Rick Pollick
Two volumes — writings on mindset, people, process, product, data, and AI.
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My Product Camp Pittsburgh 2026 talk on the three quiet failure modes of matrixed organizations, the Owner-Decision-Date framework that fixes them, and the one-page decision-aging heatmap you can implement in a Google Sheet on Monday. Full recap, the artifact, the impact chart, and the deck as PPTX and PDF.
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Agentic coding tools are refactoring services that humans spent years getting right, and most of them have no memory of why the original design existed. Architecture Decision Records were a tidy idea when humans wrote all the code; they are now load-bearing infrastructure for any team where an AI agent touches production. A practical playbook for the ADR discipline, the new metrics that matter, and the three failure modes to avoid.
Most project managers treat re-baselining as failure. The best ones treat it as the highest-value move available. A tactical playbook for when to call the reset, how to prepare the executive brief, the five-step conversation framework, and the new commitment statement template that holds. Includes three real-world cases and the post-meeting moves that turn a re-baseline into renewed credibility.
Modern project management is bilingual. Read an architecture decision record, reason about an error budget, and trace a CI dependency, or get pattern matched to the steering committee. A practitioner's guide to the five technical artifacts every PM should know, the dependency-graph critical path, technical risk frameworks, and the trust contract that earns engineering's respect.
By the time a program goes red, the failure has already shipped. Three leading signals - dependency latency, decision aging, and acceptance criteria entropy - flag trouble six weeks earlier than any RAG status.
Gartner projects that 80% of software engineering organizations will establish dedicated platform teams by the end of 2026. That number was 45% just two years ago. If you lead a delivery organization and have not started thinking about platform engineering, you are already behind.I have spent the past year watching enterprise clients wrestle with this transition. The ones who get it right are not just renaming their DevOps teams. They are fundamentally rethinking how developer enablement works a
Most organizations track whether work got done. Very few track whether it actually mattered. Here is why that gap is killing your product delivery maturity, and a practical model for closing it.I have spent more than fifteen years leading in product delivery, Agile transformation, and operational visibility across healthcare, enterprise technology, and digital product organizations. I have built KPI frameworks, stood up delivery dashboards, and coached teams through every maturity stage from "we
I have watched many enterprise AI initiatives crash and burn over the past eighteen months. The pattern is consistent: organizations rush to deploy agentic AI systems, celebrate early wins, then wonder why adoption stalls and ROI never materializes. The missing ingredient is almost always the same: product thinking.Agentic AI is not just another technology deployment. It represents a fundamental shift in how work gets done. Yet most organizations treat it like an IT project: define requirements,
