Newsletter
Real lessons from the consulting floor — what's actually working, what isn't, and why. No theory theater. No filler.
~2 emails/month.
Insights drawn from 17+ years of consulting work with 50+ organizations — the patterns that actually move the needle.
How to find and fix the real bottlenecks in your delivery system
Moving from feature factories to outcome-driven teams
Making OKRs create real traction instead of bureaucratic overhead
Funding, prioritizing, and governing across a portfolio of bets
Applying agile product thinking to turn AI POCs into compounding capability
What SAFe practices actually drive speed vs. which ones are theater
I'm Yuval Yeret — a SAFe Fellow, Scrum.org Professional Scrum Trainer, and Principal Consultant with 17+ years helping organizations from early-stage startups to Fortune 500 companies fix their delivery systems. I write from the consulting floor: what I'm seeing, what I'm trying, and what the evidence says actually works.
More about Yuval →A sample of what lands in your inbox — practical, experience-based, no fluff.
Quarterly big room OKR planning is often dismissed as process theater. Here is a pragmatic, outcome-oriented approach to align teams, manage dependencies, and set realistic goals.
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AI accelerates team delivery, but it also collapses procedural complexity. As team-level dependencies thin out, the mechanics of scaling frameworks become optional—but first principles of flow and managing WIP become absolute.
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When AI coding increases the arrival rate of pull requests, asking reviewers to work faster is the wrong response. Use end-to-end feature flow, spec-driven development, and the Theory of Constraints to improve reviewability and business throughput.
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AI isn't killing Scrum, but it is shrinking the team size from cross-functional squads to highly leveraged 1-3 person units. Here is how team-level descaling triggers a fractal collapse of organizational complexity.
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