Too muchfocus ondata and notonconclusionsManyclosedstoriesPresentationskillsimprovementthroughreviewMoredocumentationneeded onDashboardsSensitive topicsto approach inresearch(friends andfamily)Data scienceinfrastructureto beimprovedTeamcollaborationLack ofdocumentationon previousimplementationsLesser andlesserpresence inthe officeShorterdailymeetingsLong waitingtime torequests(micro)Lack ofinformation/tables(Micro)We candoattitudeGoodReviewmeeting &valuablefeedback1st MicrosprintsuccessfullyclosedProductiverefinementToo muchfocus ondata and notonconclusionsManyclosedstoriesPresentationskillsimprovementthroughreviewMoredocumentationneeded onDashboardsSensitive topicsto approach inresearch(friends andfamily)Data scienceinfrastructureto beimprovedTeamcollaborationLack ofdocumentationon previousimplementationsLesser andlesserpresence inthe officeShorterdailymeetingsLong waitingtime torequests(micro)Lack ofinformation/tables(Micro)We candoattitudeGoodReviewmeeting &valuablefeedback1st MicrosprintsuccessfullyclosedProductiverefinement

CRMAA RETRO-16-09-22 - Call List

(Print) Use this randomly generated list as your call list when playing the game. There is no need to say the BINGO column name. Place some kind of mark (like an X, a checkmark, a dot, tally mark, etc) on each cell as you announce it, to keep track. You can also cut out each item, place them in a bag and pull words from the bag.


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  1. Too much focus on data and not on conclusions
  2. Many closed stories
  3. Presentation skills improvement through review
  4. More documentation needed on Dashboards
  5. Sensitive topics to approach in research (friends and family)
  6. Data science infrastructure to be improved
  7. Team collaboration
  8. Lack of documentation on previous implementations
  9. Lesser and lesser presence in the office
  10. Shorter daily meetings
  11. Long waiting time to requests (micro)
  12. Lack of information/tables (Micro)
  13. We can do attitude
  14. Good Review meeting & valuable feedback
  15. 1st Micro sprint successfully closed
  16. Productive refinement