Human-Centered Data Design

3iap helps clients design and develop effective interfaces between busy people & their messy data.

Learn about 3iap here, see an overview of 3iap’s services here, or even better, send an email to and we’ll get right back to you.

You’re also welcome to read through this collection of thoughtful (read: long) essays on dataviz, analytics, human perception, decision making, etc.

Dashboard Psychology: Effective Feedback in Data Design

The psychology behind “what you measure you improve”...

Radical Dots Simulator: Visualizing Agent Belief Change

Visualizing extreme belief formation, echo chambers, polarization, and attitude latitudes.

Motivational Data Visualization

Exploring the motivational impacts of 7 user-data visualizations in everyday products and services.

If Good Dashboards Inform, Then Great Dashboards Align

Dashboards don't have to be data dumpsters. At their best, great dashboards are a monument to what matters...

Goal Setting: “Measurable” doesn’t have to mean “Miserable”

A quick exercise for defining “measurable” OKRs

Visualizing Expectations

Understanding the psychology and impact of expectation-setting and information design.

Settling the Debate: Bars vs. Lollipops (vs. Dot Plots)

Results of testing Bars, Lollipops and Dot Plots with 150 Mechanical Turkers for accuracy, preference...

Americans struggle with Graphs

When communicating data to 'the public,' how simple does it need to be? How much complexity can people...

Winning at @ratemyskyperoom

In these uncertain times, the world needs hard-hitting data journalism now more than ever. This is not...

How to set team KPIs that won't cost your lemonade stand $3B in fines.

Principles for designing inspiring, human-centered performance metrics.

"What is this graph telling you?"

Crucial questions to ask when user testing data visualizations.

Don't be Creepy. Employee Surveillance Backfires.

Employee spyware does more harm than good. Here's what you can do instead.

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Note: No guinea pigs (or humans) have been harmed in the course of 3iap’s research, writing or experiments.