create-dashboard

name	create-dashboard
description	Builds comprehensive Amplitude dashboards from requirements or goals, organizing charts into logical sections with appropriate layouts. Use when creating a complete dashboard from scratch or assembling existing charts into a cohesive view.

Create Dashboard

Create new team or initiative dashboards, organize scattered charts, build executive reporting, or set up review cadence dashboards.

Instructions

Step 0: Discovery (if unfamiliar with the feature)

Before building, understand what you're tracking:

• Search for existing dashboards/charts related to the topic
• Search for relevant events: Amplitude:search with entityTypes: ["EVENT", "CUSTOM_EVENT"]
• Use get_event_properties to understand available properties for segmentation
• Ask user for clarification on primary goals, key segments, or time horizons

Step 1: Define Dashboard Purpose

Clarify:

• Who is the audience?
• What decisions will it inform?
• How frequently will it be reviewed?
• What's the narrative structure?

Step 2: Gather or Create Charts

If existing charts found (>5 relevant):

• Use Amplitude:search to find relevant existing charts
• Use Amplitude:get_charts to retrieve their definitions
• Identify gaps that need new charts

If few/no charts exist (<5 relevant):

• Switch to "greenfield build" mode
• Use Amplitude:query_dataset to create needed charts
• Save all charts with Amplitude:save_chart_edits before building dashboard
• Consider searching for relevant events first with entityTypes: ["EVENT", "CUSTOM_EVENT"]

Creating new charts:

• Prototype with query_dataset to verify data
• Save in batches using save_chart_edits (more efficient)
• Collect all chart IDs before creating dashboard

Step 3: Plan the Layout

Organize into logical sections:

1. Summary Row: Key metrics at a glance (headline view)
2. Trend Section: How things are changing
3. Breakdown Section: Segments and dimensions
4. Detail Section: Supporting analyses

Step 4: Create the Dashboard

Use Amplitude:create_dashboard with:

• Clear, descriptive name
• Rows with appropriate heights (375, 500, 625, or 750px)
• Charts sized appropriately (3-12 columns)
• Rich text headers for sections
• Chart display configurations in chartMetas:
  • metric_only: Headline KPIs (single number)
  • series: Trend lines (default view)
  • converted: Funnels (conversion view)
  • table: Data tables

Step 5: Add Context

Include rich text blocks for:

• Dashboard purpose and audience
• How to interpret key metrics
• Links to related resources
• Last updated or review schedule

Layout Guidelines

Content Type	Suggested Width	Suggested Height
Headline metric	3-4 columns	375px
Trend chart	6-12 columns	500px
Comparison chart	6 columns	500px
Detailed table	12 columns	625px
Section header	12 columns	375px

Best Practices

• Put most important metrics above the fold
• Use consistent chart sizing within rows
• Group related metrics together
• Add explanatory text for complex metrics
• Ask user about focus areas if multiple valid approaches exist
• Create charts in batches to minimize tool calls

Common Issues

Query errors (500/400):

• Simplify: remove complex groupBy, reduce date ranges, avoid nested properties
• Verify events/properties exist using search first
• Use eventsSegmentation with groupBy instead of dataTableV2 for top N lists

No data returned:

• Check event names are exact matches (case-sensitive)
• Verify date range covers when events were tracked
• Confirm user segments aren't too restrictive