Use concrete language, layered explanations, and visual cues to make nuanced systems understandable without diluting accuracy. Start with outcomes, then reveal essential mechanics, avoiding acronyms until necessary. Replace abstractions with examples people recognize from daily work. When a CFO, product manager, and engineer can describe the same architecture similarly, you’ve unlocked coordination, budget clarity, and fewer conflicting requests mid‑build.
Questions like “What would a great day look like?” and “What constraint can never move?” reveal latent needs that specifications often miss. Reflecting, summarizing, and checking intent uncovers edge cases, regulatory obligations, and data latency expectations. With genuine curiosity, you’ll detect the silent success criteria driving acceptance, ensuring your technical decisions respect realities that determine whether the solution truly lands.
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