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Yuval Yeret's Blog

Scaling with Agility: From Friction and Theater to High-Impact Value Flow Across Product and Beyond

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Your Kanban Board Ends Too Early

Does your board stop at deliverable and output, or does it go towards outcome — the changed behavior for somebody? Most boards stop at deployed, and that is what teaches people deployment is success.

Flow Metrics: The Problems They Help You See

Flow metrics aren't useful because metrics are good. They're useful when important work is slow, blockers show up late, and forecasts keep missing.

How to Calculate Kanban WIP Limits in the AI Age

Starting numbers for active work and queues, covering solo and multiplayer spec-driven development, pod topology, flow buffers, and replenishment cadence.

Outcome Framing Coach: From Output to Outcome

A new open-source AI agent skill to help teams rewrite their work items from output/activity language to outcome-oriented language using a simple taxonomy.

Scaling Product Orgs with Portfolio Agility

A minibook on portfolio agility: helping multi-product organizations see work clearly, improve flow, and steer investments with evidence instead of reported progress.

How Far Along Is Your Project-to-Product Shift?

An AI coaching prompt from my "Product Orientation Through LPM" talk: pressure-test one real initiative, find the real gap, and get one experiment to run.

Finding AI Gold With Lean Startup Techniques

Most AI efforts start with tools and demos. Better to use product discovery to aim AI at a real business constraint and test the riskiest assumption first.

AI Agents Run Toward Goals. Are Yours Worth It?

Claude's /goal feature lets agents work until a completion condition is met. Most examples are output-oriented: tests pass, backlog empties. Outcome is missing.

Zoetis CTO on AI Operating-Model Change

Most AI efforts are still stuck in personal productivity. Zoetis CTO Kumar Venugopal on what it takes for AI to change the process itself.

What's In The Way of Your AI Traction?

AI vibe coding gets frustrating inside the wrong operating system. It gets traction when the organization can turn experiments into business results.

Product Operating Model, or Just Stage-Gates?

Many orgs claim a Product Operating Model but keep stage-gate thinking under the surface. How to tell the difference and what to do about it.

How ARAS Software Is Agile About Scaling Agile

How ARAS Software scaled from startup to 60+ engineers with SAFe, then moved past it when rigid PI Planning started dragging on throughput and innovation.

AI Isn’t Failing — Our Operating Systems Are

95% of AI projects fail — not because the models are wrong, but because organizations run high-uncertainty AI work in project mode.

The Product Operating Model Audio Series

An audio series for product and tech leaders who want concrete steps toward an empowered product organization — without the theory-heavy frameworks.

Reviews in a Product Operating Model

Show me your review sessions and I can tell you if you're a feature factory or a product lab. How to shift reviews from deliverables to outcomes and traction.

Why Do So Many Business Transformations Flop?

Most transformation programs fail not because people resist change, but because they're run like projects instead of learning systems. Here's what works.

Forever Flywheels?

Flywheels need consistent turns, not one-time framework installs. Three agility flywheels worth building — and the doom loops that destroy them.

Clemens Adolphs on Getting AI Investments Right

AI initiatives die in the proof-of-concept stage when run as fixed-scope projects. Clemens Adolphs and I unpack why AI work needs real product discovery.

From FOMO to JOMO

Adopting AI, Agile, or OKRs out of FOMO usually ends in JOMO. Five questions that tie any initiative to your most expensive problems first.

Managing a Product Transformation like a Project

Selling a product transformation but managing it like a project — vanity metrics, no kill criteria, output measures — is exactly what you tell others to stop.