Dashboard Design Examples: 14 Layouts and What Makes Them Work
Fourteen dashboard design examples, from Stripe and Plausible to sales, support and inventory layouts, with a design checklist and how to build your own.
Mythex Team · · 6 min read
Good dashboard design starts with a question, not a chart: who is looking, what do they need to decide, and how often? The best dashboards put a few headline numbers with context at the top, explain changes with charts below, keep filters obvious, and let people act on what they see. Most real dashboards sit behind a log-in, so below are three public examples we checked in October 2026, then eleven common layouts described without naming a product. After that: a design checklist, mistakes to avoid and how to build your own.
The 14 examples at a glance
| # | Example | Who it's for | Key idea |
|---|---|---|---|
| 1 | Plausible live demo | Website owners | A public demo with real data and filterable reports |
| 2 | Stripe Dashboard | Businesses taking payments | Customisable home widgets plus action lists |
| 3 | Grafana | Engineering and ops teams | Panels, rows and variables |
| 4 | SaaS metrics dashboard | Founders | MRR, churn and growth at a glance |
| 5 | Sales pipeline dashboard | Sales teams | Deals by stage and owner |
| 6 | Ecommerce admin | Store owners | Today's orders and what needs shipping |
| 7 | Support dashboard | Support teams | Open tickets, response times, queue |
| 8 | Inventory dashboard | Operations | Low stock and reorder alerts |
| 9 | Project dashboard | Managers | Status by project, overdue work |
| 10 | Marketing dashboard | Marketers | Traffic and sign-ups by channel |
| 11 | Finance dashboard | Owners, accountants | Cash, invoices due, spend |
| 12 | Clinic or booking dashboard | Front desk | Today's schedule and no-shows |
| 13 | Personal tracker dashboard | Individuals | Streaks, goals and progress |
| 14 | Client-facing dashboard | Agencies, service firms | Each client sees only their results |
Public dashboard examples
These are described as of October 2026.
1. Plausible's live demo
Plausible, a privacy-focused web analytics tool, publishes a live demo of its own site's analytics that anyone can explore. Its docs describe reports such as Top Pages, with pageviews, bounce rate, time on page and scroll depth, plus entry and exit pages. A filter button lets you segment by page with "is", "is not" and "contains" rules, and the docs cover comparing stats over time.
Learn from it: a public demo with real data lets people judge the dashboard before they sign up, and a small set of plain reports with one filter system is easy to understand without training. Open the demo yourself and note how the reports are laid out.
2. Stripe Dashboard
Stripe's documentation describes a Home page with analytics and charts about business performance that also surfaces important notifications, such as unresolved disputes. You choose which widgets appear on the overview. The sidebar leads to lists you act on (balances, transactions, customers, product catalogue), each with filters and export. Pressing "?" shows keyboard shortcuts, sandboxes let you test without touching live data, and there's a mobile app for iOS and Android.
Learn from it: pair the "how are we doing?" view with "what needs my attention?" alerts, and let each person customise the overview.
3. Grafana
Grafana's documentation describes dashboards built from panels, each running a query against a data source, organised into rows or tabs. Variables let one dashboard switch between, say, servers or environments.
Learn from it: variables keep you from building ten copies of the same dashboard. Grouping panels into collapsible rows keeps busy dashboards readable.
Dashboard layouts you can copy
4. SaaS metrics dashboard
Top row: monthly recurring revenue, new customers, churned customers, and active users, each with the change since last month. Below: an MRR trend line, a breakdown by plan, and a recent sign-ups list. Our guide to SaaS metrics explains each number.
5. Sales pipeline dashboard
A funnel or bar chart of deals by stage, pipeline value by owner, deals closing this month, and a list of deals with no activity in a week. Clicking a deal opens it so the dashboard is also a to-do list.
6. Ecommerce admin
Today's orders, revenue and average order value at the top; an "unfulfilled orders" list as the main section; low-stock products and recent reviews on the side. The most common action, marking an order shipped, should be one click.
7. Support dashboard
Open tickets, tickets waiting on your team, median first response time, and tickets by tag. A live queue below, sorted by age. Highlight anything breaching a response target.
8. Inventory dashboard
Items below reorder level first, with a "reorder" action. Then stock value by category, recent movements and items with no sales in a set period. See how to build an inventory management app.
9. Project dashboard
One row per project with status, owner, due date and percentage done, plus a list of overdue tasks across all projects. Colour only the exceptions (late, blocked) so they stand out.
10. Marketing dashboard
Visitors, sign-ups and conversion rate by channel over the selected date range; a chart of sign-ups over time with campaign launches marked; top landing pages.
11. Finance dashboard
Cash balance, invoices due and overdue, spend this month versus last, and upcoming bills. Keep accounting-grade detail in reports; the dashboard is for the overview.
12. Clinic or booking dashboard
Today's appointments in a timeline, cancellations and no-shows, free slots, and new bookings. Big enough to read at a glance from a front-desk screen.
13. Personal tracker dashboard
Current streak, progress toward a few goals, and a calendar heatmap of activity. Motivating rather than analytical, so keep it to one screen.
14. Client-facing dashboard
Each client logs in and sees only their own projects, reports or results. Clear labels, no internal jargon, and an export button for their own records. This needs proper log-in and permissions; see role-based access control.
What the best dashboards have in common
- A named audience and purpose. "For the support lead, checked every morning."
- Headline numbers at the top, each with context: a comparison, a target or a trend.
- Charts that match the question. Lines for trends over time, bars for comparing categories, tables for exact values.
- Obvious filters, especially date range, applied to everything on the page.
- Exceptions stand out. Use colour for what needs attention, not decoration.
- A path to action. Click a number to see the rows behind it, then act on them.
- Consistent definitions. "Active user" means the same thing everywhere, and the definition is written down.
- Fast. Slow dashboards stop being opened.
Common mistakes
- Showing everything you can measure. More charts make each one less noticed.
- Numbers without context. "1,240" means little without last period or a target.
- Pie charts with many slices. Hard to compare; a sorted bar chart is usually clearer.
- Too many colours. Reserve strong colours for alerts and one highlight series.
- Stale data with no timestamp. Always show when the data was last updated.
- No mobile view for dashboards people check on the go.
- Mixing audiences. A board report and a daily operations view rarely belong on the same page.
How to build your own dashboard
- Write the questions the dashboard must answer, and who asks them.
- List the data sources: your app's database, a spreadsheet, or another tool's API.
- Sketch the layout: headline numbers, two to four charts, one action list.
- Build it. With Mythex you describe the dashboard in a chat and see it working in a live preview. It can create the database, log-in and roles your dashboard needs, and you publish it to a URL in one click. Browse templates for a starting point. If your data already lives in a warehouse and you need ad-hoc analysis, a BI tool may suit you better; if it's in a spreadsheet, see how to connect Google Sheets to your app.
- Test with the real user. Watch them use it for a week and remove what they ignore.
For a full walkthrough, read how to build a dashboard.
How we chose these examples
Most dashboards are private, so we only named products whose dashboards are public or documented on their own sites, and we describe what those pages said in October 2026. The other layouts are common patterns described in general terms, not copies of any specific product.
Questions
What makes a good dashboard design?
It answers a specific set of questions for a specific person. The most important numbers sit at the top, each with context such as a comparison to last period; charts below explain the change; and filters for date range and segment are easy to find. Anything nobody acts on can go.
How many metrics should a dashboard show?
There's no fixed rule, but fewer is usually better. A row of three to six headline numbers plus a handful of charts is a common layout. If a dashboard needs dozens of numbers, split it into separate views for different people or questions.
What's the difference between an analytics dashboard and an admin dashboard?
An analytics dashboard mainly shows numbers and trends to help someone understand what's happening. An admin or operational dashboard also lets them act: approve an order, reply to a ticket, restock an item. Many real dashboards combine both, like Stripe's, which shows charts on its home page and lists of payments and customers you can act on.
Can I build a dashboard without coding?
Yes. Spreadsheet tools and BI tools can chart existing data, and AI app builders can create a custom dashboard with its own database, log-in and forms from a description. If your data lives in another system, check that it has an API or export you can connect.