We planned an iteration dedicated to learning for the DMS team. The goals were to begin working through the thinnest slice of the business data warehouse project to gain process and technical experience from touching all areas of the project, use the pull workflow the team designed and lastly to have no or minimal support work, which we are now considering support work to be any task that is not for the business data warehouse project.
Acquiring a product owner proxy has helped the work get split to smaller stories, prioritize work and move from working on silo-ed work-streams for each individual team member to the team working through a horizontal slice of the project using all their new tools and technology together.
The iteration focused on technical work related to data discovery but is setting the foundation to begin working on stories for data consumption. The team planned 13 project tasks across two stories and 7 support tasks. By the end of the week 14 project tasks were done, 1 story done and 14 support tasks completed and the backlog of tasks grew by six for the story in progress. The team focused on prioritizing new support work coming in and pushed 10 support tasks to the next few weeks.
The iteration focused on technical work related to data discovery but is setting the foundation to begin working on stories for data consumption. The team planned 13 project tasks across two stories and 7 support tasks. By the end of the week 14 project tasks were done, 1 story done and 14 support tasks completed and the backlog of tasks grew by six for the story in progress. The team focused on prioritizing new support work coming in and pushed 10 support tasks to the next few weeks.
Continue reading this BlogSpot at: http://curiousagility.blogspot.com/2014/07/first-iteration-with-scrumban-and-pull.html
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