Definition
An engineering methodology based on rapid, repeated cycles of designing, building, and testing, where each cycle’s failure or success provides the data to optimize the next version of the product.
Why It Matters
The map is never the territory. Iterative design acknowledges that your first plan will be wrong, and creates a structured way to use “real-world friction” to sharpen your product until it actually works in the environment it was built for.
Core Concepts
- Velocity over Perfection: Prioritizes moving to the “test” phase as quickly as possible, even if the hardware is known to be incomplete or flawed.
- Feedback Loops: The goal is to maximize the frequency of Empirical Data points. Physical hardware tests reveal “unknown unknowns” that simulations miss.
- Fail Fast, Fail Forward: Errors identified early in the design cycle (e.g., Starhopper) are exponentially cheaper to fix than those found late in the production cycle.
- Recursive Refinement: The design is never “finished,” only “optimal for the current mission.” This is seen in the constant evolution of Falcon 9 (v1.0 v1.1 Full Thrust Block 5).
- How to read: “The progression from version one point zero to version one point one, then to Full Thrust, and finally to Block five.”
- Meaning: Each arrow marks a hardware iteration that incorporated flight-test lessons without a full program restart.