Claude's new DASHBOARDS Are Amazing (Master it in 12 minutes)
Define the decision first, then limit metrics and validate their sources before building a Claude dashboard.
- Choose 1–3 decisions the dashboard should support; split unrelated decisions into separate dashboards or tabs.
- Select 5–10 decision-relevant metrics, then verify access, definitions, calculations, time periods, and update method.
- Use design references to compare three layouts; schedule a Claude routine for insights that require AI interpretation.
The five-step framework and key setup considerations are covered in the notes. · Best for: Claude users building recurring or one-off business dashboards.
The video explains two dashboard use cases—regular monitoring and answering a specific question—and presents a workflow: set the goal, choose metrics, validate data, plan the design, and build. It also covers sharing, live connector access, and scheduled routines for AI-generated insights.
What Claude dashboards add0:46
- Dashboards refresh data from connectors when opened and let users inspect the query, formulas, and raw data behind a number.
- They have their own database, support CSV uploads, and can query named data warehouse connectors with SQL.
- Live artifacts can be edited with comments and shared with a team.
Two dashboard use cases2:23
- Build recurring dashboards for daily, weekly, or monthly monitoring across sources.
- Build short-lived dashboards to answer a specific question, such as which marketing channel brings in customers who stay longest.
Set a goal and choose metrics4:01
- Start by stating the decision the dashboard should support; keep it to one to three decisions.
- Brain-dump possible metrics with Claude, ask it for suggestions, then select five to ten that help with the decision.
Validate data and metric definitions6:21
- Check that connectors can provide each metric, clarify how it is calculated, and review suggested visualizations and time periods.
- Identify which metrics can load live and which require AI interpretation and a scheduled routine.
Plan the layout and design8:38
- Give Claude screenshots of two or three dashboard designs and any brand guidelines.
- Ask for three live-artifact variations; prioritize key metrics at the top left, minimal scrolling, readable text, visuals, and short explanations.
Build, share, and automate10:10
- Approve the dashboard's connectors when prompted; it can store data and be shared by team access or link.
- Live connector numbers depend on the connectors of the person opening the dashboard. Ask Claude to store data in the dashboard if viewers need the same numbers.
- Use a scheduled Claude Code routine to generate and save AI-interpreted insights, or refresh dashboard data for teammates without connectors.
Step by step
- Write down the decision the dashboard should help make; ask Claude to interview you one question at a time if the goal is unclear.
- List candidate metrics, ask Claude for additional suggestions, and keep the five to ten most useful.
- Check data access, metric definitions and calculations, display format, time period, and whether each metric is live or needs AI interpretation.
- Provide design references and brand guidelines; ask Claude to generate three layout variations, then refine the preferred one.
- Build the dashboard, approve its connectors, and choose whether shared viewers should use live connector data or stored data.
- For AI-generated insights or scheduled data refreshes, ask Claude to create a routine and specify its schedule and dashboard destination.
Tools & resources mentioned
- Claude connectors — retrieve live data from connected tools.
- Snowflake, BigQuery, Databricks, Redshift, ClickHouse — data warehouse connectors that can be queried with SQL.
- CSV and JSON files — data sources that can be uploaded to dashboards.
- Dribbble, Pinterest, Mobbin — sources for dashboard design references.
- Claude Code routines — scheduled tasks for producing AI-interpreted insights or refreshing dashboard data.
Notes are AI-generated from the video's transcript and may miss nuance.