Building Your First Analytics Dashboard
Use Claude Code to build a real analytics dashboard from scratch. Describe what you want in plain English, watch Claude create the project, write the code, and deploy it — all in one session.
From Idea to Dashboard in One Session
Here's something that would have taken weeks of learning (or a budget request to engineering) just two years ago: building a fully interactive analytics dashboard. With Claude Code, you'll go from a blank folder to a working dashboard in a single session. Not a mockup. Not a screenshot. A real, interactive dashboard you can share with your team.
The Prompt That Starts Everything
The secret to getting great results from Claude Code is being specific about what you want. Don't just say 'build me a dashboard.' Describe it like you're briefing a designer:
A detailed prompt like this gives Claude Code enough context to build something genuinely useful on the first try. Notice we specified the data, the layout, the tech stack, and the aesthetic.
Build a marketing analytics dashboard with these sections: 1) A KPI row at the top showing Total Visitors, Conversion Rate, Revenue, and CAC — each with a metric, trend arrow, and comparison to last month. 2) A line chart showing traffic by channel (organic, paid, social, email) over the last 12 weeks. 3) A bar chart showing conversion rates by landing page. 4) A table showing top 10 campaigns by ROI. Use sample data that looks realistic for a B2B SaaS company. Use React with Recharts for the charts and Tailwind for styling. Make it look clean and modern.
What Happens Next (The Magic Part)
After you submit that prompt, Claude Code will start working. Here's roughly what you'll see:
- It scaffolds the project — creates folders, initializes the app, installs dependencies
- It generates realistic sample data — revenue numbers, traffic sources, campaign names that look real
- It builds each component — KPI cards, charts, tables, all with proper styling
- It wires everything together — imports, layouts, responsive design
- It starts the dev server so you can see the result in your browser
Manual Workflow
With AI
Iterating Like a Product Manager
The first version won't be perfect — and that's the point. Once your dashboard is running, you iterate in plain English. This is where your analyst brain shines:
Iterating is where you get the most value. Each follow-up prompt refines the dashboard based on your expertise about what matters.
Make these changes to the dashboard: 1) Change the KPI cards to show red/green colors based on whether the metric is up or down vs last month. 2) Add a date range picker at the top that filters all the charts. 3) The campaign table should be sortable by clicking the column headers. 4) Add a tooltip to the line chart that shows exact values on hover.
Deploying So Your Team Can See It
A dashboard nobody can access is just a hobby project. Once you're happy with it, ask Claude Code to deploy it. Platforms like Vercel or Netlify offer free hosting for small projects, and Claude Code knows how to set them up:
Claude Code will handle the deployment configuration and walk you through creating a Vercel account if needed.
Deploy this dashboard to Vercel so I can share the URL with my team. Walk me through any accounts I need to set up first.
Imagine dropping a link in Slack: 'Hey team, I built a dashboard for our campaign metrics. Let me know what else you want on it.' That's the kind of moment that changes how people see your role.
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