I'm a software engineer. About a year ago I hit a severe burnout phase. Traditional advice ("just relax", "inner child", etc.) didn’t work for me because it felt non-operational and hard to test.
I started thinking about my cognition as an operating system running on legacy evolutionary drivers. These drivers were optimized for survival in unpredictable environments, not for modern high-load cognitive work.
Instead of asking “how do I feel?”, I reframed the problem in engineering terms:
what specific inputs reliably trigger failure states?
what minimal interventions consistently exit those loops?
I treated anxiety and procrastination as recurring system errors rather than emotional problems. Instead of relying on willpower, I experimented with small, mechanical actions that reliably altered attention or physiological state — similar to forcing an interrupt or resetting a stuck process.
Most experiments failed. The ones that worked were surprisingly boring, simple, and repeatable — which made them reliable.
Over time, I documented the working approaches into a technical manual for myself, structured as a set of protocols rather than advice.
I’m curious whether anyone here has approached burnout, anxiety, or habit loops using systems thinking or engineering-style models. What frameworks worked for you, and what didn’t?
I like to think of it as “we didn’t fall out of the trees all that long ago, in evolutionary terms!”
The one that kind of worked, at least for a while, was external reward. I set point for each task or habit I want to achieve, and the longer the streak goes the more point I earn. Point can be used as currency for rewards. I monitored my motivation against the tasks to iterate on the point distribution design. It worked great for six months in which I regularly slept and waked up early, did spanish vocabulary anki sessions, and no phone during remote work (“no phone for two hours” task,) etc., until I used all my point for a M2 IPad Pro which was the ultimate reward I set for myself from the very start.