Metadata
- Author: Elvis
- Full Title:: How to Prioritize Analytical Work — Part 1
- Category:: 🗞️Articles
- Document Tags:: Data Analysis, Prioritization techniques,
- URL:: https://towardsdatascience.com/how-to-prioritize-analytical-work-part-1-ae91a6e71303
- Finished date:: 2024-04-06
Highlights
Too often prioritization is done based on “Who asks the loudest?” Or “Who asks last?” When you prioritize this way, you end up on a “random walk” that often becomes “walking in circles” where no real progress is made in solving fundamental problems or deriving truly valuable insight (View Highlight)
Everyone is perpetually unhappy (ironically, once you learn to prioritize well you will have a mixture of unhappy and happy people… more on this later) (View Highlight)
There is no objectively right amount of time to invest in each bucket, but I almost always use the following distribution, which I arrived at through many years of trial and error experience:
- Strategic projects — 50%
- Ad-hoc / tactical projects — 20%
- Maintenance — 20%
- Research and experimentation — 10% (View Highlight)