Thanks for this succinct writeup, it's super useful. I always try to get researchers to start with something like this.
Two things I like about this framing, compared to DIBBs, are (a) it uses "Facts" rather than "Data" - people often have a too-narrow view of what counts of Data, so Facts is bettter. (b) It explicitly captures assumptions and labels them as such.
This is called Data Insights Beliefs at Spotify.
Should have picked a snappier acronym! Lol.
The full acronym is DIBBs: Data Insights Beliefs Bets
Thanks for this succinct writeup, it's super useful. I always try to get researchers to start with something like this.
Two things I like about this framing, compared to DIBBs, are (a) it uses "Facts" rather than "Data" - people often have a too-narrow view of what counts of Data, so Facts is bettter. (b) It explicitly captures assumptions and labels them as such.
Also hi to both of you - *wave