1. Start with the Decision, Not the Data (Backwards Design):
Before creating the visualization, I ask: What decision will this chart inform? This helps me filter out vanity metrics and focus only on what’s relevant to the decision-maker.

2. Use the IBCS or “Actionable Analytics” Framework:
I often draw from IBCS (International Business Communication Standards) principles—clarity, consistency, and focus. Every chart should answer:

• What’s happening?

• Why is it happening?

• What should I do about it?

If the visualization doesn’t at least hint at the “what now,” it’s not complete.

3. Layer in Context and Comparison:
A single metric means nothing in isolation. I always try to show trends, benchmarks, or goals (e.g., actual vs. forecast vs. target) so viewers can judge performance at a glance.

4. Apply the “So What?” Test:
After finalizing a draft, I ask: If I showed this to a stakeholder, would they know what to do next? If not, I go back and add annotations, callouts, or redesign the view.

 

5. Simplify with Purpose:
I avoid overloading visuals. Instead, I use visual hierarchy, color cues, and white space to guide attention to the “insight zone”—the part of the chart that leads to action.