Task management for Data Professionals Ensuring clarity, timeliness & Impact
summary
Workshop shows concrete rules for task-ready data work: use SMART targets (e.g., increase model accuracy to >75% by May 1), write a CSD definition of done (deploy to staging, document in Confluence, stable for five consecutive days), assign a single RACI accountable person, and run hands-on coordination in Miro. Practical tactics include Kanban/Jira cards, burndown/charts, WIP limits, milestones and weekly check‑ins, and using Eisenhower to prioritize when everything feels urgent.
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chapters (12)
- 0:00Introduction
- 1:17Task setting for data pros
- 13:50Key task considerations
- 15:38SMART task structuring
- 31:44CSD definition of done
- 38:52RACI matrix
- 47:05Practice rewriting tasks
- 56:56Kanban progress tracking
- 1:05:54Milestones and check-ins
- 1:11:42Troubleshooting undelivered tasks
- 1:14:08PDCA cycle
- 1:16:23Q&A
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