I used to be utterly obsessed with QS. I strongly believe that you can only manage what you measure. With that said, I've also found that quantification can hav

I used to be utterly obsessed with QS. I strongly believe that you can only manage what you measure. With that said, I've also found that quantification can have an emotional downside for individuals, especially when the stakes are low. However, this can be controlled or avoided. My suggestion is to passively track these things without using them as a target. That is, I recommend using only derived metrics as decision making aids. It also avoids Goodhart's Law [0]. Measures that become targets lose their value as measures. I also think that it's easy to start fetishizing the data, like becoming obsessed with small changes in weight or contributions on Github. Metrics descend to "mindless dopamine fixes" but this need not be the case. Metrics should inform decisions like "do I quit this expensive gym membership or stick it out?" or "Does a third cup of coffee in the afternoon improve my performance enough to justify the caffeine jitters?" [0] https://en.wikipedia.org/wiki/Goodhart%27s_law https://en.wikipedia.org/wiki/Goodhart%27s_law