Absolute Priorities

Some systems let you set the priority like P0 or P1 for most important tasks, then P2, P3, and so on.

  • P0
    • Task 1, Task 2, Task 3, Task 4, Task 5
  • P1
    • Task 6, Task 7, Task 8
  • P2
    • Task 9

The result is that we might have buckets with P1, P2, and P3 priorities, but inside the P1 category we’re back to the same problem: which P1 task is the most important?

P0 P1 P2
5 tasks 3 tasks 18 tasks
too many in P0! about right “the rest”

To work effectively with absolute priorities (P0, P1, etc), you need to regularly review them: what’s the size of the top priority pool? If it’s more than what you work on, you need to prune it by reassigning some tasks to second priority. Then you might realize that your second priority pool is now also too large and you created an entire domino effect. But the worst part is that you keep re-assessing the same tasks.

P0 move ➞ P1 move ➞ P2
5➞1 task 4 tasks 3➞5 tasks 2 tasks 18➞20 tasks
about right about right keeps growing

New task comes in which happens to be P1. Now we have:

P0 P1 P2
1 task 5➞6 tasks 20 tasks
new task
P1 pool
too large now

Now you need to re-assess the P1 task pool and decide which task is going to be moved to P2.

P0 P1 need to move P2
1 task 6➞5 tasks 1 task 20➞21 tasks
need to reasses
all P1 tasks

Task Compass philosophy is different: instead comparing tasks against each other. This effectively automates the above work.