Let Claude Interview You Before Coding

The traditional approach to AI prompting asks you to anticipate every detail before submitting a prompt. You try to write the perfect specification, hoping Claude understands your intent. The result is often back-and-forth corrections—Claude made assumptions you didn't want, missed requirements you thought were obvious, or took the solution in the wrong direction. There's a better way. Instead of you trying to specify everything upfront, let Claude ask you the questions. Start with a minimal prompt: just the goal and context. Then ask Claude to interview you with detailed, probing questions about the implementation—technical decisions, edge cases, constraints, design tradeoffs, anything a senior developer would ask before coding. Claude will ask 30-50 targeted questions covering areas you never thought to include in your original prompt. For example, instead of: "Build a bookmark manager with tagging." Try: "I need to build a bookmark manager with tagging. Before you write any code, interview me thoroughly. Ask about data structures, UI/UX decisions, edge cases, performance requirements, and anything else a developer would need to know. Keep asking until the spec is complete." Claude responds with questions like: "What happens when a user bookmarks the same URL twice?" "Can tags be renamed, and if so, how should existing bookmarks be affected?" "Do bookmarks sync across devices?" By the end of the interview, you have a detailed specification document. Developers report these sessions generate specifications covering requirements they never would have thought to include. The payoff: you build it right the first time instead of three iterations of rework. This technique works across any complex task requiring upfront specification: product roadmaps, business workflows, marketing campaigns, research frameworks. The pattern is identical: give Claude the goal, ask it to interview you until the spec is complete, then execute against that specification in a fresh session.