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GoalAccomplished?
1Produce version of system for demonstration.
2

Define team GitHub process and educate the team.

Pushed to Sprint 3
3

Load data for the majority (80%) of nodes for one dog.

Changed to 50% on 2/12/19
4

Validate data loading by basic searching/visualizing of the data.


5

Integrate Pentaho into the transformation process (timeboxed as an experiment for this sprint).

Yes - Philip


Retrospective Results

AuthorCategoryCard Title
Philip MSuggestions for ImprovementAs far as possible, given the sudden flux concerning the importance of the COTC trial data, develop high-level sprint goals for a couple of sprints out? Will greatly help detailed sprint planning.
Matthew BSuggestions for ImprovementTime box, clear scope, bit sized pieces
Matthew BSuggestions for Improvementestimation of ticket duration and hence when it needs to be split into smaller tickets
Matthew BSuggestions for Improvementput retrospective comments in without being nagged.
Matthew BSuggestions for ImprovementCapture dependencies of tickets
Matthew BWhat Didn't WorkTeam members missing standups did not allow for good flow of information
Philip MWhat Didn't WorkSprint 0 was way too long, and lacked the organization that you'd normally want to see. That situation should have been resolved with our new sprint cadence, associated ceremonies, etc.
Philip MWhat WorkedIn my opinion, our ability communicate via Slack has already contributed to the effectiveness of the team to a very significant degree, and it will only do so more as sprints get busier.
Matthew BWhat Workedestablishing initial rules and meetings for sprints allowed us to organize
Philip MWhat WorkedHaving a second stand up meeting each week has been a big improvement in terms of discussing incremental progress.
John FWhat WorkedGetting started and making progress and not waiting for everything to be in place before moving.
John FWhat WorkedThe team is gelling and sharing thoughts and getting work done.
Ye WWhat WorkedGreat team chemistry and dynamics.

Bugs


Future

  1. Take model and impose initial data constraints (add properties).
  2. Conduct dry-run of Demo.
  3. Conduct Demo.

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