Accelerate knowledge velocity. Get feedback loops running in weeks not months. Ship, learn, correct errors fast. Field-state operations.
How fast does learning become action? Particle state: Slow perfection loops. Field state: Rapid learning through shipping.
How quickly can mistakes be detected and fixed? Particle state: Errors hidden in process. Field state: Ship, learn, correct fast.
Learning cycle reduced from months to weeks
Error detection through real user feedback
Knowledge Velocity score moves toward field
Error Correction dimension accelerated
Market truth replaces internal assumptions
Scale or kill decision based on data
Strip to core function—eliminate velocity friction
Kill features that slow learning. Define the one metric that proves market fit.
Build ugly, ship fast—maximum velocity
Daily progress creates daily corrections. Learning compounds.
Ship to users—error correction begins
Real feedback creates real corrections. Scale or kill based on field data.
Knowledge Velocity score above 7. Perfecting instead of shipping. Assumptions instead of data.
Error Correction score above 7. Mistakes take months to surface. Learning cycles measured in quarters.
Too many features, not enough feedback. Need market reality to force field behavior.