Glen Ford discusses how Zeebox applies and refines Lean: methods, experiments, discovery and feature teams, cultural challenges, innovation, etc.
Martin L. Harbolt focuses on methods of providing data to a team to help them remain focused and maintain the rhythm necessary for success: KanBan boards, burn down charts and others, with examples.
Barb Spurway, Tracy Bowman discuss Voice of the Customer (VoC), a Total Quality Management/ Lean Manufacturing concept helping teams build quality products from the customers’ perspective.
Giovanni Asproni suggests that teams should not blindly embrace a methodology but rather create their own suiting their specific needs by using an approach based on patterns and pattern languages.
Jason Little discusses how to avoid an organizational change failure when introducing Agile by leveraging principles of Lean Startup and Customer Development.
Allan Kelly introduces Xanpan, a mixture of Kanban, XP, Lean and economics, focusing on teams not projects, allowing for planned and unplanned work within iterations and levels flow.
Nick Zhu & Sharan Karanth introduce a thought framework, based on Anti-Fragility, that can be used to describe, explain, and tune Agile, Lean as well as Continuous Delivery practices.
Steve Arnold introduces Flow, an Agile method combining concepts from DevOps, Lean and Kanban, based on the idea that a requirement is worked on at each point of the software delivery pipeline.
Dave Sharrock presents key practices that incorporate the Lean Startup principles, allowing a Product Owner to validate business ideas by bringing the build-measure-learn cycle alive.
Sandy Mamoli explains how to avoid multi-tasking by using personal Kanban and other Agile practices applied at the individual level.
Mark Graban overviews the Lean methodology applied in healthcare using examples and lessons learned from leading hospitals around the world.
Ken Collier discusses Agile Analytics, a combination of sophisticated analytics techniques, lean learning principles, agile delivery methods, and "big data" technologies.