Coach an analyst to separate observation, interpretation, and recommendation in a data story.
Noor NR Analyst preparing churn story O Observe I Infer R Recommend The credibility test Noor has a real churn signal and a skeptical product director in the room. The story must be confident without overstating causality. The framework Data-story trust stack Observed -> Inferred -> Recommended Separate what the chart shows, what you believe it means, and what action fits the current proof level. The audience can challenge one layer without rejecting the whole story. Honest boundaries make the guide more credible.
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