I’m taking a systems-engineering approach to “prescribe” CBT-based psychological interventions when I hit a wall (e.g. procrastination, "redlining"), and also to identify which traits need the most attention to optimize overall “system” (my) output.
*Model Overview*:
I’m using a Grey-Box model, dependent on the following premises:
1. Performance as Function: Performance output is in large part a function of the psychological traits I listed.
2. Mutability: These traits are mutable to the extent that maximizing them results in non-trivially enhanced performance.
3. Control Theory Loop: Defining a self-correcting model for these traits using control theory, benchmarking it vs some ground truth (e.g. features shipped, PnL), & running trial and error on individually-tailored psychological interventions can yield actionable growth insights.
*The Bottlenecks*:
1. It’s vulnerable to heavy GIGO ("Garbage-In-Garbage-Out").
2. Accurate state estimation currently requires high-friction journaling, which is the primary failure point, but not insurmountable w/ the advent of LLM journaling
*Questions for HN*
1. Prior Art: Do any of you take a structured, quantified approach to improving these (or any other) personality traits?
2. The Placebo Check: Please poke holes in the logic. I worry the success I’ve personally found with this approach may just be a placebo.
In the great fight between Covey (7 Habits) and Collins (Good to Great) I tend to agree with Collins that realized purpose is more important than structure, habits or technique. There are few ways I could serve you worse than to increase your patience or grit applied to the wrong task.