Step 5: AI for Developers — Tests, Code Review, and Quality AI can increase development speed. Rod Claar / Tuesday, February 24, 2026 0 83 Article rating: No rating It can also introduce subtle defects if used uncritically. This step focuses on safe, high-leverage usage for developers—especially around test generation, review assistance, and code clarity. The principle: AI suggests. Developers verify. Read more
Step 1: Start with product vision that teams can actually execute A product vision is not a slogan. It is a decision-making filter. Rod Claar / Tuesday, February 24, 2026 0 67 Article rating: No rating If the team cannot use it to prioritize backlog items, it is not actionable. Read more
Step 2: Identify customers, users, and the decisions that matter Most backlogs fail for one reason: They optimize for features instead of decisions. Rod Claar / Tuesday, February 24, 2026 0 64 Article rating: No rating If you cannot name: Who you serve What they are trying to decide What “job” they need completed Your backlog will drift. Read more
Step 3: Turn outcomes into backlog slices (without giant stories) Large stories hide risk. Small slices expose learning. Rod Claar / Tuesday, February 24, 2026 0 59 Article rating: No rating If a backlog item cannot be completed inside a Sprint with clear acceptance criteria, it is not sliced—it is deferred complexity. The goal is not smaller tasks. The goal is small increments of validated outcome. Read more
Step 1: Understand what “Developer” means in Scrum (and what it does not) In Scrum, Developer is not a job title.It is an accountability. Rod Claar / Tuesday, February 24, 2026 0 62 Article rating: No rating Per the Scrum Guide, Developers are the people in the Scrum Team committed to creating any aspect of a usable Increment each Sprint. That includes coding—but is not limited to coding. Read more