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App’s dashboard optimization
Our app’s dashboard overwhelms users with 15+ metrics upfront. They forget key data or miss critical alerts. Heard about Miller’s Law (7±2 items in working memory), but how do we apply this practically? Should we just hide features, or is there a smarter way to prioritize without dumbing things down? Need real examples of chunking complex data effectively.
Posts: 11
Re: App’s dashboard optimization
Miller’s Law isn’t about arbitrary limits—it’s about structuring information to align with cognitive bandwidth. This article with miller's law examples breaks this into actionable tactics. For dashboards: Group related metrics into “suites” of 5-7. Example: A fitness app clusters “Daily Activity” (steps, heart rate, calories) and “Progress” (weekly avg, goals, streaks) separately. Users toggle between suites, reducing cognitive load.
Another example: E-commerce checkout flows. Instead of 10 form fields, split into 3 chunks—Shipping (name, address), Payment (card, CVV), Review (summary, confirm). Each chunk stays under Miller’s threshold while feeling progressive.
For your app, try dynamic prioritization. Use AI to surface 5-7 metrics based on user role/time of day. A project manager sees deadlines and budgets at 9 AM but team workloads at 3 PM. Hide secondary data in drill-down menus.
Another example: E-commerce checkout flows. Instead of 10 form fields, split into 3 chunks—Shipping (name, address), Payment (card, CVV), Review (summary, confirm). Each chunk stays under Miller’s threshold while feeling progressive.
For your app, try dynamic prioritization. Use AI to surface 5-7 metrics based on user role/time of day. A project manager sees deadlines and budgets at 9 AM but team workloads at 3 PM. Hide secondary data in drill-down menus.
Posts: 6
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