Guides technical leaders on implementing Objectives and Key Results (OKRs) in engineering organizations. Shows how to set ambitious yet achievable goals, measure progress, and align team efforts with company objectives.
Explains the emerging practice of Platform Engineering—creating self-service internal platforms that accelerate development. Discusses how to build golden paths, standardize tooling, and reduce cognitive load on development teams.
A structured approach to product discovery including problem validation, solution exploration, and usability testing. Helps teams avoid building features nobody wants by validating assumptions early and cheaply.
Distinguishes between vanity metrics and actionable metrics that drive product decisions. Covers frameworks like AARRR (Pirate Metrics), North Star Metric, and cohort analysis to measure real product health and user engagement while building data-informed product culture.
Explains the role of Release Train Engineering in SAFe environments. Discusses how to coordinate multiple agile teams working on interdependent features, manage program-level backlogs, and facilitate program increment (PI) planning events.
Explains the Shift-Left testing philosophy where quality activities move earlier in the development lifecycle. Discusses test automation strategies, developer testing practices, and how to build quality into the process rather than inspecting it in at the end.
Comprehensive framework for measuring and communicating technical debt in business terms. Explores how to prioritize refactoring work, calculate cost of delay, and make compelling cases for investing in code quality improvements through quantified metrics and strategic prioritization.
A practical guide to creating multi-year technical roadmaps that balance innovation, technical debt reduction, and business capabilities. Covers scenario planning, technology lifecycle management, and aligning IT investments with strategic goals.
Applies Lean principles to software development through value stream mapping. Shows how to map the entire value stream from idea to production, identify bottlenecks, reduce wait times, and optimize flow to deliver value faster.
