Choosing the right layout
Start with how your audience reads information. Executives often scan top-to-bottom for headline metrics; operational teams may need filters and drill-downs on the left with detail panels on the right.
Use a consistent grid — for example, KPI cards across the top, primary trends in the center, and supporting tables or breakdowns below. Keep related charts adjacent so comparisons feel natural.
On mobile, stack sections in priority order: most important KPIs first, then trends, then detail tables. DashBoardly AI layouts adapt to screen size, but your content order should still reflect what matters most.
Prioritizing key metrics
Limit above-the-fold KPIs to three to five numbers that answer one clear question: “Are we on track?” Everything else belongs in secondary panels or drill-down views.
Pair each KPI with context — a prior period, target, or trend arrow — so a single number never stands alone without meaning.
Avoid duplicating the same metric in multiple chart types unless each view adds a distinct insight (e.g., total revenue as a KPI and revenue by region as a breakdown).
- Lead with outcomes (revenue, completion rate) before inputs (sessions, uploads).
- Use consistent definitions across dashboards so teams compare apples to apples.
- Hide or collapse metrics that no one acted on in the last 90 days.
Using color and visual hierarchy
Reserve your brand primary color for emphasis — selected filters, key series, or call-to-action elements. Neutral grays and whites should carry most of the UI.
Use semantic colors sparingly: green for positive movement, amber for caution, red only for true alerts. Too much red desensitizes viewers to real problems.
Typography hierarchy matters as much as color. One bold page title, clear section headings, and muted labels for axes and footnotes keep the dashboard scannable.
Avoiding common mistakes
Cramming every available field into one screen is the fastest way to lose your audience. If a chart does not support a decision, remove it.
3D effects, heavy gradients, and dual y-axes often distort perception. Prefer simple 2D charts with labeled axes and readable legends.
Test with a colleague who did not build the dashboard. If they cannot explain the main takeaway in 30 seconds, simplify further.
- Too many chart types on one page
- Missing titles, units, or date ranges
- Filters that reset unexpectedly
- Export layouts that break in PDF or slide decks