Guidelines
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Match the visual format to the story message

For article visual planning, prefer visual-format selection on the story's primary visual to maximize message alignment and mitigate defaulting to a data visualization when another format fits better for editorial storytelling.

  • purpose:refine
  • basis:rhetorical
  • quality:insight
  • lever:chart-family
  • communication:workflow

advice

Choose the visual format first

Choose the visual format based on the story’s topic affordances and message instead of defaulting to a data visualization. For example, use photography when the subject already has strong direct imagery, use bespoke illustration when a drawn explanation fits better, and keep the data visualization only when the data display directly strengthens the story.

reason

Why visual-format fit helps

A story reads more coherently when its main visual carries the same point as the text. A mismatched data graphic can pull attention away from the article’s strongest form of evidence instead of reinforcing it.

Mechanism: Matching the visual format to the topic makes the lead visual support the article’s message rather than compete with it.

Evidence: Editorial staff planned each article’s visual approach around the topic’s affordances. Some stories worked better with photographs or bespoke illustration, while others relied on data visualizations, and editors said data graphics could strengthen or weaken a story depending on how well they aligned with the message (Gregory et al., 2024).

context

Use when the main visual is still undecided

  • User Goal: Choose the article’s main visual treatment.
  • Task: Match the visual form to the story’s topic and message.
  • Data: The story may or may not depend on data as its strongest evidence.
  • Chart Setting: Early planning or review before committing to a data graphic.
  • Success Criterion: The chosen visual strengthens the story instead of weakening it.

exceptions

Do not use this as an anti-chart rule

Break it when: The story’s message is best carried by the data itself and a data visualization is the most aligned visual form. Why: The source explicitly says some stories relied on data visualizations, so the rule is to test fit, not to avoid charts.

costs

Tradeoffs of format-first planning

Sacrifice: You give up treating a data visualization as the default article visual. Risk: You can underuse a data visualization if you read this rule as a blanket preference for photography or illustration. Mitigation: Keep the data visualization when the data display is the form that best supports the article’s message.

mistakes

Common format-selection mistake

Mistake: Defaulting to a data visualization without checking whether another visual format fits the story better. Why it fails: When the topic is better served by photography, illustration, or no image, the data graphic can weaken the story.

check

Check the format against the message

Failure Sign: The planned data visualization does not clearly feel like the strongest visual expression of the article’s point. Quick Check: Compare the planned data visualization against a photo, illustration, or no-image alternative and ask which option best matches the story’s message. Stronger Test: In editorial review, confirm that the chosen visual strengthens the story more than the rejected alternative.

fix

Fix a mismatched visual choice

  • Reassess the story’s main message before committing to a data visualization.
  • Replace the planned data visualization with photography when the topic has stronger direct imagery.
  • Replace the planned data visualization with bespoke illustration when a drawn explanatory visual fits the topic better.
  • Keep or restore the data visualization when the data display is the visual form that most directly supports the story.

References

Gregory, K., Koesten, L., Schuster, R., Möller, T., & Davies, S. (2024). Data Journeys in Popular Science: Producing Climate Change and COVID-19 Data Visualizations at Scientific American. Harvard Data Science Review, 6(2). https://doi.org/10.1162/99608f92.141c99cf