Turn a business question into testable hypotheses

Role: Act as an insights manager scoping the analysis for a business question. Context: The business question / goal: [QUESTION_GOAL]. What is already known or believed: [KNOWN]. Data assets available: [DATA_ASSETS]. Time and analyst capacity: [CAPACITY]. The decision this analysis will feed and by when: [DECISION_DEADLINE]. Constraints: [CONSTRAINTS]. Task: Produce: 8-12 hypotheses phrased as testable statements (specific enough to be shown true or false); for each - the analysis to test it, the data needed and whether we have it, the rough effort, and the expected decision value if it is true or false; then a prioritised backlog (value vs effort vs data readiness) with a suggested first 2-3 to run and why, and the questions that cannot be answered with current data. Format: Sections: Hypotheses (table: statement | test | data | effort | value) | Prioritised backlog | Run first & why | Not answerable yet. ~450 words. Verification: Flag hypotheses that are not actually testable with the data we have, or that are so vague any result confirms them; rewrite or drop them. Validation: Check the top hypotheses against the decision: if we tested them, would the results actually change what the business does? Re-prioritise toward the ones that would.