Graph

^
| y = productivity
|                                        4      
|                                      xxxxxxx 
|                                  xxxx       
|                                xx           
|   1                       3  xx              
| xx                        xxx               
|   xxx                 xxxx              
|      xxxxx  2   xxxxxx 
|           xxxxxx         
|-------------------------------------------------->
								x = time
  1. Forming
  2. Storming
  3. Norming
  4. Performing

Explanation

  • forming
    • when forming there is some friction, but not as much yet since members still need to get to know each other
  • storming
    • members get to know each other, find out about how they can work together more effectively
    • lots of trial and error, little productivity
  • norming
    • people start cooperating well and strong dynamics are developing
    • the productivity rises quickly
  • performing
    • members know exactly who they are working with and how each person works best
    • mutual support, little to no friction

Practical Criticism

  • when adding/removing members there is a second curve starting out which will behave the exact same but is at a different time in the progression
  • it just takes some time for all people to adjust
  • total productivity =
    • productivity of previously established team
      • productivity of established team + new people/person
  • many overlapping graphs and summing them up is a more practical explanation than just a single line

Conclusion

  • this only works if teams exist as-is for larger durations (minimum 2 months) to get going
  • ripping apart teams early because of “productivity” is not smart, especially if done repeatedly
  • adding/removing a single member can throw everything off balance, tho a currently “perfroming” team will take it better/recover faster than a currently “norming” team