A self-assessment that catches the flaws in your data visualizations before your audience does. Clarity, integrity, and storytelling — scored and actionable.
Process
Drop in a screenshot of the visualization you want to assess. It stays local — nothing leaves your browser.
Answer 20 targeted questions across 5 assessment pillars. Each question has expert guidance to calibrate your judgment.
Get a scored report with specific, actionable fixes. Export as PDF and share with your team.
Assessment Pillars
Each section targets a specific dimension of chart quality — from editorial focus to perceptual accessibility.
Does the visualization communicate a clear, specific message?
4 questions
Is the visual form correct for the data relationship?
4 questions
Is the visualization honest and trustworthy?
6 questions
Is the visualization easy to process quickly?
3 questions
Is color used with intent and inclusively?
3 questions
The Name
In the famous "Invisible Gorilla" experiment, half the participants missed a gorilla walking through a basketball game — because they were busy counting passes.
Your audience does the same with data. If they have to work to decode your chart, the main insight walks right past them — unseen and ignored.
Make your insight impossible to miss.
nogorilla ensures clarity by design. Every question in the assessment targets a specific way insights get lost — from buried titles to misleading axes to rainbow color schemes that encode nothing.
Philosophy
Bad data visualization isn't usually about bad data. It's about a bad signal-to-noise ratio. We believe in brutal clarity, drawing on the work of Edward Tufte, Cole Knaflic, and decades of perceptual psychology research.
If it doesn't help understanding, it is noise.
Scales and baselines must be defensible.
If everything is highlighted, nothing is.
Attention is finite. Do not overspend it.