It worked for one team... Should it be moved to the enterprise?Joshua Seckel
schedule 2 years agoSold Out!
Retrospectives are great! They result in great process changes for a team to adopt to become more efficient.
But how do you determine when the process change adopted by one team should become part of the overall recommended practice for the organization? What worked in one team very well might not be helpful or effective on another team, and at the same time, the organization needs to take advantage of the innovation happening at individual team levels and adopt the best ones as recommendations.
This talk will look at a more formal method of tracking the effectiveness of specific retrospective improvements and how to decide when to make team process changes into organizational recommendations. This will show how to us Bayesian Statistics to track the effectiveness of specific process improvements and setting threshholds for organizational wide recommendations can lead to a good process for organizational process improvement based on team successes.
Specifically, we will look at how to set up the process at the organziational level and the team level:
What processes need to be agreed to?
What changes in governance need to be agreed to?
How to decide when to make recommendations?
What changes should be made at the team retrospective level?
I will also discuss how this experiment is working and what we have learned from trying to adopt this methodology.
This method should be very helpful within organzations with high oversight and governance, such as the government, to allow for continuous process innovation while still maintaining concurrence from those bodies.