Decision Matrix: Turning Vague Preferences into Data‑Driven Choices 1. Clarify the Decision Problem and Set Success Criteria Before you open

Decision Matrix: Turning Vague Preferences into Data‑Driven Choices 1. Clarify the Decision Problem and Set Success Criteria Before you open a single line of code, write down exactly what you need to achieve. Ask yourself: What is the primary goal (e.g., fastest inference, smallest bundle size, easiest onboarding)? What constraints exist (budget, licensing, platform compatibility)? Finally, define measurable success criteria-numbers you can check later, such as latency under 50 ms or memory usage below 100 MB. By converting a vague idea like “I want a fast library” into concrete targets, you create a reference point that will keep the evaluation...