## Metadata - Author: [[elvis|Elvis]] - Full Title:: How to Prioritize Analytical Work — Part 1 - Category:: #🗞️Articles - Document Tags:: [[Data analysis|Data analysis]], [[Prioritization techniques|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](https://read.readwise.io/read/01htsxmtbhpyxd8h62nsvcssm6)) > 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](https://read.readwise.io/read/01htsxn5k94w10z9jkgh9rtspe)) > 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: > 1. Strategic projects — 50% > 2. Ad-hoc / tactical projects — 20% > 3. Maintenance — 20% > 4. Research and experimentation — 10% ([View Highlight](https://read.readwise.io/read/01htsxppy5areqmycp1j9rc8p6))