Some Reads

Reading a Dashboard Right: Designing Analytics UI People Actually Use

It's easy to build a dashboard that looks impressive in a demo and gets ignored in production. The difference is almost always about what the dashboard is optimized for.

Lead with the one number that matters. Every good dashboard has a primary metric front and center, sized larger than everything else — revenue, active users, conversion rate, whatever the user's job actually depends on. Everything else is supporting context.

Default to the time range users actually check. Most B2B users check dashboards weekly, not daily. Defaulting to a 7 or 30-day view instead of "today" saves a click on nearly every visit.

Comparisons matter more than absolutes. "1,204 signups" means little on its own. "1,204 signups, up 18% week over week" is immediately actionable — always pair a number with its trend.

Design for the decision, not the data. Before adding a chart, ask what decision it should inform. Charts that don't change anyone's next action are noise, no matter how well they're designed.

Let users drill down, don't force them to. Summary views up top, with the ability to expand into detail on demand, serves both the executive glancing weekly and the analyst digging in daily.

A dashboard's job is to answer "what should I do next," not to display everything the database knows. The best ones we've shipped are the ones with the least unnecessary data on screen.

At avokado, we've helped brands across e-commerce, travel, SaaS and marketplaces turn ideas like this into shipped products. If you're weighing a similar decision, get in touch at /contact/ and let's talk through your roadmap.