But I haven’t really heard how other people tackle this sort of thing. To be honest, I have no idea if this is convoluted or not.

Plus, some songs fit into multiple moods, which I can handle by giving them multiple Grouping labels (“Green, Blue”). This has worked out much better for me than traditional playlists, as sometimes I forgot to add new songs to old playlists. If I want to chill and do some work? Open the Green playlist and hit Random. Once this last piece of metadata is complete, songs that have survived the gauntlet are automatically sorted into dynamic playlists.

Red – songs that make you drive faster on the freeway.

I base these off of colors that correspond to mood: It is here that I assign it a “Grouping” category. Once everything has a Star rating, it goes into my Group Work dynamic playlist.

To give an idea about distribution, I have 3270 songs in the 3-Star category (80%), 721 in 4-Star (18%), and just 100 in 5-Star (2%). 4 Star – Very good song, catchy, meaningful.3 Star – Baseline level of good, would enjoy this randomly being played.2 Star – Song is “useful” for some other purpose (e.g.Once a rating is decided, it drops from the playlist and I continue down the list until my queue is empty. I have a dynamic playlist called Unrated that will display every song in my library that does not have a 1-5 Star rating. The amount of times this has worked out for me is small in the aggregate, but when it has worked out, I ended up finding some of my favorite songs of all time, so it’s worth it. Once I do hear something I like, I immediately try to locate the entire discography of the group “just in case” there are other songs I may enjoy. Therefore, I pretty much only hear snippets of songs from random Youtube clips, memes, or Indie-Rock playlists. My ability to discover new music is very limited, as I did not have much of a commute even pre-pandemic for radio, and I typically listen to NPR besides.

Spotify musicbee