One Prompt, Full Dashboard: How AI Builds Analytics in Seconds

Building a dashboard in a traditional BI tool is a multi-day project. You need to write queries, choose chart types, design layouts, and wire everything together. With MetricChat, you type one sentence.

The Traditional Approach

Here's what building a revenue dashboard typically looks like:

1. Write SQL queries for each metric (2-4 hours)
2. Create individual visualizations in your BI tool (1-2 hours)
3. Arrange them into a dashboard layout (1 hour)
4. Test, iterate, adjust (1-2 hours)
5. Share and set permissions (30 minutes)

Total: 1-2 days for a single dashboard.

The MetricChat Approach

Type this into MetricChat:

"Build a dashboard showing monthly revenue by region, top 10 customers by lifetime value, MRR growth rate, and churn by cohort"

MetricChat will:

1. Design the layout — picks the right grid arrangement for 4 panels
2. Choose chart types — line chart for trends, bar chart for comparisons, table for top customers
3. Write the SQL — 4 optimized queries against your database
4. Execute and render — runs the queries and builds interactive visualizations

Total: 15-30 seconds.

What Makes This Work

MetricChat isn't just running templates. It understands your data structure:

• Schema awareness — it knows your tables, columns, and relationships
• Business rules — it applies your defined metrics and calculations
• Chart intelligence — it picks the right visualization for the data type

Try It Yourself

docker run -d -p 3000:3000 \
  -e MC_DATABASE_URL=postgresql://user:pass@host:5432/mydb \
  metricchat/metricchat

Connect your database. Ask for a dashboard. See the difference.