Pretty Wins

July 31, 2026      Kevin Schulman, Founder, DonorVoice and DVCanvass

Fundraising runs on numbers. We collect them, slice them, chart them and eventually put them in front of someone who is expected to make a decision.

We like to imagine the data speaks for itself. Alas, it doesn’t.  Turns out the chart speaks too, and it has a loud voice.

Research across topics, industries, media and chart types finds that attractive visualizations are judged as more trustworthy. Trees, pies, maps, scatterplots, box plots, the effect keeps showing up. Pretty wins.

The likely culprit is the halo effect, we notice one positive feature, a polished chart, and transfer it to unrelated judgements, deeming the data more credible, competent and reliable because made it look good.

This holds even after accounting for whether people find the chart interesting, understandable or consistent with what they already believe. A well-designed chart gets an additional trust bump anyway. When the material is dull, complicated or challenges the audience’s existing view, design may be doing even more of the work.

Experts are not safely above all this. More visually attractive graphs in scientific journals are associated with more citations. Some evidence suggests people with more formal education may be especially susceptible, perhaps because they have become highly skilled at explaining why their first impression was super smart.

Beauty also changes behavior. Better-looking visualizations attract more clicks, comments and engagement on social media. They are not merely admired more, they change beliefs and behavior.

The effect is not trivial. In some studies, aesthetics explain more than 20% of the variation in perceived trustworthiness.

I’d like to believe a polished chart can’t rescue bad thinking and data, though history suggests it can certainly help it get through a meeting.

Labels, spacing, hierarchy, typography and color are not cosmetic afterthoughts. They influence whether the audience understands the finding, trusts it and remembers it.

Your data may be right but it still needs to dress for the occasion.

Kevin

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