A good Apache Superset dashboard isn't just stacking charts: it's a communication tool. Visual hierarchy, consistent colors, relevant filters, fluid performance. This guide compiles 20 best practices to produce effective dashboards in 2026.
1. Before creating the dashboard
- Identify the audience: exec, ops, marketing;
- Identify the 3 key questions to answer;
- Define consultation frequency: daily, monthly;
- Choose an evocative name, not generic.
If you want template dashboards, TVL Managed Superset offers a library on Pro+ instances.
2. Visual hierarchy
- Main KPIs at the top (Big Numbers);
- Time evolutions in the middle (line charts);
- Granular detail at the bottom (tables, segmentation);
- Global filters on the left or top, not scattered.
3. Choose the right chart type
See our guide of 30+ chart types. Golden rule:
- Evolution → Line Chart;
- Category comparison → Bar Chart;
- Composition (≤6 categories) → Pie / Donut;
- Distribution → Histogram;
- Correlation → Scatter Plot;
- Main KPI → Big Number with Trendline.
4. Colors and palette
- Maximum 5 colors in a dashboard;
- Semantic: green = positive, red = negative, gray = neutral;
- Custom company palette in
theme; - Color blindness: avoid red+green without text labels;
- WCAG AA contrast minimum.
This configuration is applied by default on TVL Managed Superset, which follows community best practices.
5. Relevant filters
- Maximum 5 global filters;
- Time Range mandatory on temporal fact tables;
- Relevant default values: "Last 30 days" rather than "All time";
- Cascading dependent filters (Country → Region);
- Cross-filters on Pie / Bar for drill-down.
6. Text and labels
- Clear titles: "Net monthly revenue" rather than "Rev";
- Explicit units in title or subtitle;
- Informative tooltips on KPIs;
- Markdown description at intro to explain the dashboard;
- Data source in footer (transparency).
7. Performance
- Maximum 12 charts per dashboard;
- Limited default time range;
- Aggressive Redis cache;
- Pre-aggregated datasets via dbt;
- No SELECT * in virtual datasets.
8. Tabs to structure
A dashboard with 30 charts → 3 tabs of 10 charts. Advantages:
- Improved performance (lazy rendering);
- Readability per topic (Acquisition / Conversion / Retention);
- Mobile-friendly (one tab at a time).
9. Accessibility
- Sufficient contrast for color-blind people;
- Minimum 14px text;
- Tooltips available on keyboard;
- Alt text on embedded images;
- Screen reader compatibility (ARIA labels).
10. Mobile-friendly
- Responsive charts (Superset does it by default);
- Tabs rather than long scroll;
- Big Numbers in first row (visible without scroll);
- Collapsible filters;
- Test on mobile at each revision.
11. Process and governance
- Identified owner per dashboard;
- Quarterly review: remove unconsulted dashboards;
- Markdown intro documentation;
- Versioning via YAML export to Git;
- Clear naming convention (team prefix).
12. Classic pitfalls
- Pie chart with 20 categories unreadable;
- Non-zero scale on Bar: exaggerates gaps;
- Too many random colors;
- Time range "All time" by default;
- "Do everything" dashboards that dilute the message.
13. Conclusion
A good Superset dashboard combines substance (relevant KPIs) and form (hierarchy, colors, performance). The 12 rules above cover 80% of cases. The rest comes with practice and user feedback. At each quarterly review, remove unused dashboards and improve those used.
Want the benefits of Apache Superset without the friction of installation and maintenance? Deploy your instance in 3 clicks with TVL Managed Superset, hosted in Europe (OVHcloud, Roubaix, France).
For more: chart types, dashboard filters, data modeling.