Data Storytelling

Data narrative design, chart annotation, and turning numbers into compelling stories.

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Data Storytelling

Data Narrative Principles

  1. Lead with the insight, not the data. "Sales doubled in Q3" before showing the chart.
  2. One story per chart. If a chart tells two stories, make two charts.
  3. Annotate the interesting parts. Labels on peaks, dips, and inflection points.
  4. Provide context. "42% increase" compared to what? Industry average? Last year? Goal?
  5. Design for the audience. Executives want conclusions. Analysts want data.

Chart Annotation

  • Callout labels on data points that matter.
  • Reference lines for targets/goals/averages.
  • Shaded regions for time periods of interest.
  • Brief text annotations explaining anomalies.

Presentation Order

  1. Headline: The conclusion in one sentence.
  2. Chart: Visual evidence.
  3. Context: Comparison, trend, benchmark.
  4. Implication: What this means for the business.
  5. Action: What to do about it.

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