data-storytelling

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.