Diagnose a Data Story Before Sending
Evaluate a data story draft for decision relevance, evidence clarity, and actionability.
Pre-send check Mei's draft has evidence but no visible decision path. Async data stories fail when the reader must infer the ask. Three checks Decision -> Evidence -> Action Name the decision, highlight the data that changes it, and close with the action you want. The reader can act without rebuilding your reasoning. Async storytelling needs visible structure because you are not there to narrate it. Decision Check 1 The opening line says, Here are activation findings from last week. What repair makes the decision visible? Evidence Check 2 Mei has seven charts, but one comparison explains the recommendation. Which…
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