|
|
|
|
|
by FrozenVoid
2873 days ago
|
|
Classifying tasks into priorities.
1.Urgent and required. Sorted by urgency.
2.Required. Waits until all #1 completes.
3.Optional. Waits until all #2 completes.
4.Leisure/Misc. Waits until all #3 completes. Reducing wasted space by putting items with lower usage into storage space category that is in proportion to usage:
0.Items with daily use priority 0.
1.Items which aren't used daily get priority -1.
2.Items which aren't used weekly get priority -2.
3.Items which aren't used monthly get priority -3.
etc, the less used items occupy their own category(e.g. yearly use "yearly storage space") . Reducing decision space iteratively:
1.Enumerating all possible choices/options.
2.Discarding all low-quality choices.
3.Discarding all mediocre choices.
4.Selecting a set of top choices.
5.Writing down a comparison table for #4.
6.Filling the table in #5
7.Eliminating choices that sound worse than average.
8.Repeat #7 until you're left with one choice. Solving complex problems by breaking them into sub-problems.
1.Formulating on paper the scope of the problem
as separate sub-problems.
2.Sorting the sub-problems in order of difficulty.
3.Connecting the sub-problems to their potential solutions.
Like a graph from sub-problems -> solutions
4.Selecting the most connected solution.
5.Improving the solution to include more connections(so a single solution solves all or most sub-problems in #2)
6.If a solution can't be improved, try next most connected solution. Focus on the solutions that can be improved.
7.The best-performing solution is implemented.
8.Repeat with next best solution. |
|