Illya Mowerman, Ph.D.
What Does Recasting Mean?
- In theater, recasting is swapping one actor for another to change the
performance.
- In data storytelling, it’s about reinterpreting or reframing the data
to shift the narrative.
- It’s not lying or manipulating—it’s finding a new angle that’s still
true to the data.
- Key Idea: The same dataset can tell multiple stories
depending on how you cast it.
When and Why Do We Recast?
- Audience Disconnect: The original story doesn’t
resonate with your audience.
- Hidden Insights: A new perspective reveals something
overlooked.
- Persuasion: You need to shift opinions or inspire
action in a specific direction.
- Example: A company’s sales data might show failure
(declining numbers) or resilience (growth in a tough market)—same data,
different story.
How Do We Recast a Story?
1. Change the Focus: Zoom in on a different metric or
time period.
2. Shift the Lens: Alter the emotional tone—optimism
vs. caution.
3. Adjust the Frame: Compare to a different benchmark
or context.
4. Visual Redesign: Use charts, colors, or layouts to
highlight what matters.
- Core Principle: Stay honest—recasting isn’t about
distortion; it’s about emphasis.
Recasting Sales Performance
- Original Story: “Our sales dropped 10% last
quarter.”
- Bar chart: Downward trend, red bars, gloomy tone.
- Audience takeaway: “We’re failing.”
Recasting Vaccination Rates
- Original Story: “Only 60% of our region is
vaccinated.”
- Pie chart: 60% filled, gray tones, focus on the gap.
- Audience takeaway: “We’re falling short.”