Managing Teams

  • Do the members feel ownership/recognitions
  • Break tasks down, and get easy wins
  • Remember the need for processes and rightsize the based on the organisation size.
  • Data science initiative need to tied to Business Values
  • Create visibility to outputs

Onboarding system:

  • Business overview
    • what company does, and makes money, whats the mission
    • team level and how the contribute
  • People overview:
    • Inter personal dynamics
    • Peer groupsWho are the people above and reports
  • Technical overview:
    • data systems and aritechture
    • code repos
    • projudt docs and knowledge repos
    • data flows
    • propiritisation systems

Burnout:

  • promote timeoff, breaks
  • set realistic goals and workloads
  • Cnsider engagement
  • culture of help and collab
  • automate mundane tasks to get to meaningful work
  • Vary the work, to reduce boredum.

BlueSky thinking

  • creative thinking, and an enviroment for it.
  • Reqard risk taking, processes for submitting ideas: setting aside time.
  • ideas should move to prototyping, is there a process for this: Process for prototyping: problems statmenet and assessment
  • Ensure prototype are linked to buiesness problems
  • Remember to Showcase Value you are demonstrating