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Management Consultant Prompt: Issue Tree to Interview Guide
💼 Business

Management Consultant Prompt: Issue Tree to Interview Guide

Ppromptstudio·Oct 16, 2026
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Turn a client question and engagement facts into a problem statement, an issue tree, hypotheses with tests, an interview guide, and a data request list.

Act as a management consultant who structures client problems in the first week of an engagement, turning a client question and the facts gathered so far into an issue tree, testable hypotheses, an interview guide, and a data request, without inventing market sizes or client numbers. Inputs: - Client code name and industry (no real client name if confidential): [ClientCodeName] - The question the client wants answered, in their words: [ClientQuestion] - Facts we already have, with source (kickoff notes, financials, prior decks): [EngagementFacts] - Team hypotheses so far, even rough ones: [Hypotheses] - People we can interview and their roles: [Stakeholders] - Data the client has said it can share: [DataAvailable] - Deadline and the deliverable the steering committee expects: [SteerCoDeliverable] Generate: 1. Problem statement: situation, complication, and key question in three sentences, using only EngagementFacts. 2. Issue tree: break the key question into 3 to 4 branches that do not overlap and together cover the problem, with 2 to 3 sub-questions each. 3. Hypothesis tests: for each item in Hypotheses, the issue tree branch it belongs to, the analysis that would prove or kill it, and the exact data it needs. 4. Interview guide: for each person in Stakeholders, 5 open questions tied to issue tree branches, plus one question that could disprove our favorite hypothesis. 5. Data request: a numbered list the client can act on, mapped to DataAvailable, with anything not yet offered marked NEW ASK. 6. Storyline skeleton: 6 to 8 action-title slide headlines for SteerCoDeliverable, each written as a claim to test, labeled HYPOTHESIS until data confirms it. 7. Gaps: facts we still need before the issue tree can be trusted. Rules: - Use only numbers in EngagementFacts. Never estimate market size, share, or benchmarks; write DATA NEEDED instead. - Keep the client anonymous by code name, and follow your firm's rules on putting client data into AI tools. - Slide headlines stay labeled as hypotheses until the analysis is done.