As Lean and Agile transitions from small teams to large organizations, and from progressive organizations to more pragmatic organizations that demand evidence for decision making, a new set of challenges emerge. While many have rightfully encouraged the use of qualitative insight by those closer to the work we can no longer avoid embracing metrics to demonstrate the value of adopting certain practices. Kanban is about visualizing the work but it's also about providing quantitative feedback in the form of lead-time and other metrics.
This talk introduces a disruptive new form of quantitative feedback, the Time In State InSITe visualization for visualizing any time in state data, and walks through in detail the use of a particular instantiation, the Time in Process (TIP) Chart for visualizing lead-time data. It is intended to be used in situations where misapplications of control limits often occur. The talk also provides guidance about the problems with control limit calculations used in this domain to motivate the reduction in misapplication.
Lastly, it introduces the ODIM framework intended to guide metrics choices and avoid misapplications like that which has happened with the use of control limit calculations. The ODIM framework is built upon the thought that better [M]easurement/Visualization leads to better [I]nsight leads to better [D]ecisions leads to better [O]utcomes. It's ODIM rather than MIDO because, like reading a kanban board, it's best to start from the right (Outcomes) and work your way left when making measurement choices.