Most KPI dashboards get opened once — on the day they are launched — and then ignored. The problem is rarely the data. It is the design. Dashboards that get used every morning share specific traits: focused metrics, clear hierarchy, actionable context, and a layout that respects the user’s time. Dashboards that get ignored violate these principles in predictable ways.
This article covers the seven most common design mistakes and how to fix each one.
Mistake 1: Too many metrics on one screen
The problem: The dashboard shows 25 numbers, 8 charts, and 3 tables on a single screen. Everything competes for attention. Nothing stands out.
The fix: 5–7 KPIs maximum per dashboard. If you need more, create role-specific dashboards: one for the CEO (5 company-level KPIs), one for the sales lead (6 pipeline metrics), one for operations (7 throughput metrics). Each role sees only what they need to act on.
Rule of thumb: If it takes more than 10 seconds to identify the most important number on the screen, the dashboard has too many metrics.
Mistake 2: No hierarchy — every number looks equally important
The problem: Revenue, employee count, and website visitors are all displayed in the same size font, same colour, same card. The €2M revenue figure has the same visual weight as the 847 social media followers.
The fix: Use visual weight to create hierarchy:
- The most important KPI gets the largest card, top-left position, and a bold font.
- Secondary metrics are smaller, positioned below or to the right.
- Tertiary details are in collapsible sections or accessible via drill-down.
Not all metrics are equally important. The dashboard should make that obvious at a glance.
Mistake 3: Numbers without context
The problem: The dashboard shows “Revenue: €142,000.” Is that good? Bad? Better than last month? On track for the target? Without context, numbers are meaningless.
The fix: Every metric should include at least one comparison:
- vs target: Are we on track? (Green/yellow/red indicator)
- vs previous period: Are we improving? (↑ or ↓ with percentage)
- vs same period last year: Seasonal context.
A standalone number tells you the state. A number with context tells you the trajectory — and trajectory is what drives decisions.
Mistake 4: Wrong chart types
The problem: Pie charts for 15 categories. Line charts for data with 3 points. 3D bar charts for anything.
The fix: Match chart type to data type:
| Data type | Best chart | Avoid |
|---|---|---|
| Trend over time | Line chart | Pie chart, bar chart |
| Part-of-whole (2–5 categories) | Donut or stacked bar | Pie chart with 10+ slices |
| Comparison across categories | Horizontal bar chart | Vertical bar with rotated labels |
| Distribution | Histogram or box plot | Pie chart |
| Single KPI value | Large number with indicator | Any chart |
The golden rule: If the chart requires a legend that takes longer to read than the chart itself, simplify it.
Mistake 5: No mobile view
The problem: Executives check dashboards on their phones — in the morning, between meetings, while travelling. The dashboard was designed for a 27” monitor and is unusable on mobile.
The fix: Design mobile-first or at minimum responsive:
- KPI cards stack vertically on mobile
- Charts resize or simplify (show the number instead of the chart on small screens)
- Filters are accessible but collapsed by default
- Touch targets are large enough (minimum 44×44px)
A dashboard that cannot be read on a phone is a dashboard that gets checked once a week instead of every morning.
Mistake 6: No clear owner
The problem: The dashboard was built, launched, and… nobody is responsible for the data. Six months later, one data source broke and nobody noticed. The numbers are wrong, trust evaporates, and the team stops checking.
The fix: Every dashboard needs a data owner — one person responsible for:
- Monitoring data pipeline health
- Validating numbers monthly (spot-checking against source systems)
- Updating the dashboard when business definitions change (e.g., “what counts as a lead” shifts)
- Fielding questions from users (“Why did this number spike?”)
Without an owner, dashboards decay. With an owner, they stay trustworthy.
Mistake 7: Built once and never iterated
The problem: The dashboard is designed based on what the team thought they needed. After two weeks of real use, they realise three metrics are useless and two critical ones are missing. But nobody updates the dashboard because “it’s already done.”
The fix: Plan for iteration:
- Month 1: Weekly review — what do you check first? What do you ignore? What is missing?
- Month 2–3: Bi-weekly review — refine layout, add/remove metrics based on actual use.
- Month 4–6: Monthly review — stabilise and document.
Budget 10–15% of the initial build cost for the first six months of iteration. A €10,000 dashboard should have a €1,000–€1,500 iteration budget.
What good dashboards have in common
Across the dashboards we have built for clients, the ones that get used daily share three traits:
- Action-oriented. Every metric implies an action. “Revenue is down 12% vs last month” → investigate and fix. “All green” → move on to the next priority.
- Role-specific. The CEO, the sales lead, and the operations manager do not need the same dashboard. Build for the role, not “the company.”
- Near-real-time. If the dashboard updates once a month, it is a report, not a dashboard. Good dashboards update at least daily — ideally hourly for operational metrics.
Frequently asked questions
How much does a dashboard redesign cost? For an existing dashboard: €2,000–€5,000 for the redesign and implementation. Building right the first time costs the same, so the redesign is essentially paying twice.
Should we use Power BI, Tableau, or something custom? For standard business dashboards, Power BI or open-source tools like Metabase are sufficient. For dashboards with complex business logic or real-time data, custom is often necessary. See from spreadsheet chaos to BI for the full comparison.
How do we decide which KPIs to include? Ask each role: “What 3 numbers do you check every morning to know if things are on track?” Start with those. Add more only if they drive specific actions.
Related articles
- From spreadsheet chaos to BI — Building the analytics stack underneath the dashboard.
- Internal tools that 10x operations — Custom tools beyond dashboards.
- ROI of business automation — Calculating the value of better reporting.
Need a dashboard that people actually use?
Book a free 30-minute call. We will look at your current reporting, identify the most impactful dashboard, and propose a design that your team will check every morning.
Reach out at [email protected] or via the form on our homepage.