Wednesday 7th October, 2015
3:10pm to 3:40pm
Blocker clustering is a technique popularized by Klaus Leopold and Troy Magennis that leverages a kanban system to identify and quantify the things that block work from flowing. It’s premised on the idea that blockers are not isolated events but have systematic causes. By clustering them by cause (and quantifying their cost), we can improve our work and make delivery more predictable. This experience report draws from the practical efforts of multiple teams to offer participants both the benefits of blocker clustering, as well as a simple way to get started.
Participants will learn:
Benefits of blocker clustering
How to conduct a safe-to-fail blocker-clustering experiment
How to quantify the cost of blockers
Helpful practices and things to avoid in blocker clustering
Matt Philip is the Director of Agile Coaching at Asynchrony Labs, a St. Louis, USA-based information-technology consulting firm that specializes in in custom application development. He has worked in software development as a coach, trainer, quality advocate and facilitator, helping organizations and teams to improve themselves and business outcomes. He is especially passionate about the Kanban method, continuous improvement and motivational design. He is also one of the founding organizers of the Lean Kanban St. Louis meetup.
Sign in to add slides, notes or videos to this session