Guidelines
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Define the core message before choosing chart, color, and text details

For early-stage explanatory design, use a clear core message as the decision rule on charts still under development to improve readability and address retrofitted messaging for lay viewers.

  • purpose:refine
  • basis:rhetorical
  • quality:readability
  • lever:chart-family
  • communication:workflow
  • audience:general-public

advice

Set the message before visual decisions

Define one clear core message before choosing the chart type, color treatment, and text placement. For example, use that message to choose among chart options, decide which colors deserve emphasis, and place explanatory text where it reinforces the same point instead of adding the message after those choices are made.

reason

Why a message-first process helps

A message-first process gives the design one reference point for later choices. That makes the visualization easier to understand because form, emphasis, and text all support the same takeaway.

Mechanism: A clear message anchors major design decisions and collaborative discussion, so chart type, color, and text placement are chosen to support one point rather than being assembled first and explained later.

Evidence: Visualization practitioners emphasized that a clear message helps lay viewers understand a visualization, supporting prioritizing the message during creation (Schuster et al., 2023). Designers were also described as defining the message early so it could anchor collaboration and guide chart type, color, and text placement (Gregory et al., 2024).

context

Use when the message can still guide choices

  • User Goal: Explain one takeaway clearly.
  • Workflow Stage: Chart type, color treatment, and text placement are still open or can still be revised.
  • Chart Setting: Multiple design choices or collaborators need one shared basis for decisions.
  • Audience: The visualization is meant for lay viewers.
  • Success Criterion: One clear message can be stated and used to justify the main visual decisions.

exceptions

Do not use when those choices are fixed

Break it when: Chart type, color treatment, and text placement are already fixed and cannot be reconsidered. Why: This guidance works by shaping those decisions early, not by attaching a message after they are set.

costs

Tradeoffs of message-first design

Sacrifice: You must settle on a clear message early enough to influence major design choices.
Risk: A vague message will not anchor collaboration or guide chart, color, and text decisions.
Mitigation: Rewrite the message until it can clearly justify those specific choices.

mistakes

Common failure mode

Mistake: Treat the message as text to add after the chart type, color treatment, and text placement are already chosen. Why it fails: The message no longer guides the design, so the visualization is less coherent and harder for lay viewers to grasp.

check

Check whether the message is driving the design

Failure Sign: Reviewers can describe the chart type, color treatment, or text placement, but cannot state one clear message that connects them.
Quick Check: Ask for the core message in one sentence, then check whether that same sentence directly justifies the current chart type, color emphasis, and text placement.
Stronger Test: In a collaborative review, have two reviewers independently state the message and name one design choice it drove; if they give different messages or cannot link choices back to the same message, the message is not guiding the design.

fix

Rework the design around the message

  • Write the core message as one clear sentence before further revisions.
  • Re-evaluate the current chart type against that message.
  • Adjust color emphasis so highlighted colors support the same point.
  • Move or rewrite explanatory text so it reinforces that message.

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
Schuster, R., Koesten, L., Möller, T., & Gregory, K. (2023). Who is the Audience? Designing Casual Data Visualizations for the “General Public.” arXiv. https://doi.org/10.48550/arXiv.2310.01935