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Concept

Four Questions for Key Numbers

Before relying on a critical figure in a recommendation—regardless of whether it originates from a colleague's spreadsheet, an analytics dashboard, or an AI tool's summary—authors must evaluate it against four core analytical questions:

  1. Provenance: Where did it come from? Identify the specific system, report, or person that generated the figure, along with the underlying raw data.
  2. Time Window: Are the evaluated timeframes comparable (e.g., covering the same season and the same number of weekends)?
  3. Inclusions and Exclusions: What is in and what is out? Determine exactly which stores, products, or customer segments are counted.
  4. Like-for-Like Comparison: Are both sides of the comparison counted and evaluated using the exact same standard?

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Updated 2026-09-24

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Prep Sessions

Making Recommendations Leaders Can Act On @ Honor

Ch.2 Make It Hold Up - Making Recommendations Leaders Can Act On @ Honor

Check the Numbers, Whatever the Source - Making Recommendations Leaders Can Act On @ Honor

Making Recommendations Leaders Can Act On @ Honor (Iman YeckehZaare)

Ch.2 Make It Hold Up - Making Recommendations Leaders Can Act On @ Honor (Iman YeckehZaare)

Check the Numbers, Whatever the Source - Making Recommendations Leaders Can Act On @ Honor (Iman YeckehZaare)