analytics-events
Add product analytics events to track user interactions in the Metabase frontend
Best use case
analytics-events is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Add product analytics events to track user interactions in the Metabase frontend
Teams using analytics-events should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/analytics-events/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How analytics-events Compares
| Feature / Agent | analytics-events | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Add product analytics events to track user interactions in the Metabase frontend
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# Frontend Analytics Events Skill
This skill helps you add product analytics (Snowplow) events to track user interactions in the Metabase frontend codebase.
## Quick Reference
Analytics events in Metabase use Snowplow with typed event schemas. All events must be defined in TypeScript types before use.
**Key Files:**
- `frontend/src/metabase-types/analytics/event.ts` - Event type definitions
- `frontend/src/metabase-types/analytics/schema.ts` - Schema registry
- `frontend/src/metabase/lib/analytics.ts` - Core tracking functions
- Feature-specific `analytics.ts` files - Tracking function wrappers
## Quick Checklist
When adding a new analytics event:
- [ ] Define event type in `frontend/src/metabase-types/analytics/event.ts`
- [ ] Add event to appropriate union type (e.g., `DataStudioEvent`, `SimpleEvent`)
- [ ] Create tracking function in feature's `analytics.ts` file
- [ ] Import and call tracking function at the interaction point
- [ ] Use `trackSimpleEvent()` for basic events (most common)
## Event Schema Types
### 1. Simple Events (Most Common)
Use `SimpleEventSchema` for straightforward tracking. It supports these standard fields:
```typescript
type SimpleEventSchema = {
event: string; // Required: Event name (snake_case)
target_id?: number | null; // Optional: ID of affected entity
triggered_from?: string | null; // Optional: UI location/context
duration_ms?: number | null; // Optional: Duration in milliseconds
result?: string | null; // Optional: Outcome (e.g., "success", "failure")
event_detail?: string | null; // Optional: Additional detail/variant
};
```
**When to use:** 90% of events fit this schema. Use for clicks, opens, closes, creates, deletes, etc.
### 2. Custom Schemas (legacy, no events are being added)
Consider adding new event schema only in very special cases.
**Examples:** `DashboardEventSchema`, `CleanupEventSchema`, `QuestionEventSchema`
## Step-by-Step: Adding a Simple Event
### Example: Track when a user applies filters in a table picker
#### Step 1: Define Event Types
Add event type definitions to `frontend/src/metabase-types/analytics/event.ts`:
```typescript
export type DataStudioTablePickerFiltersAppliedEvent = ValidateEvent<{
event: "data_studio_table_picker_filters_applied";
}>;
export type DataStudioTablePickerFiltersClearedEvent = ValidateEvent<{
event: "data_studio_table_picker_filters_cleared";
}>;
```
#### Step 2: Add to Union Type
Find or create the appropriate union type and add your events:
```typescript
export type DataStudioEvent =
| DataStudioLibraryCreatedEvent
| DataStudioTablePublishedEvent
| DataStudioGlossaryCreatedEvent
| DataStudioGlossaryEditedEvent
| DataStudioGlossaryDeletedEvent
| DataStudioTablePickerFiltersAppliedEvent // <- Add here
| DataStudioTablePickerFiltersClearedEvent; // <- Add here
```
#### Step 3: Create Tracking Functions
In your feature's `analytics.ts` file (e.g., `enterprise/frontend/src/metabase-enterprise/data-studio/analytics.ts`):
```typescript
import { trackSimpleEvent } from "metabase/lib/analytics";
export const trackDataStudioTablePickerFiltersApplied = () => {
trackSimpleEvent({
event: "data_studio_table_picker_filters_applied",
});
};
export const trackDataStudioTablePickerFiltersCleared = () => {
trackSimpleEvent({
event: "data_studio_table_picker_filters_cleared",
});
};
```
#### Step 4: Use in Components
Import and call the tracking function at the interaction point:
```typescript
import {
trackDataStudioTablePickerFiltersApplied,
trackDataStudioTablePickerFiltersCleared,
} from "metabase-enterprise/data-studio/analytics";
function FilterPopover({ filters, onSubmit }) {
const handleReset = () => {
trackDataStudioTablePickerFiltersCleared(); // <- Track here
onSubmit(emptyFilters);
};
return (
<form
onSubmit={(event) => {
event.preventDefault();
trackDataStudioTablePickerFiltersApplied(); // <- Track here
onSubmit(form);
}}
>
{/* form content */}
</form>
);
}
```
## Using SimpleEventSchema Fields
### Example: Event with target_id
```typescript
// Type definition
export type DataStudioLibraryCreatedEvent = ValidateEvent<{
event: "data_studio_library_created";
target_id: number | null;
}>;
// Tracking function
export const trackDataStudioLibraryCreated = (id: CollectionId) => {
trackSimpleEvent({
event: "data_studio_library_created",
target_id: Number(id),
});
};
// Usage
trackDataStudioLibraryCreated(newLibrary.id);
```
### Example: Event with triggered_from
```typescript
// Type definition
export type NewButtonClickedEvent = ValidateEvent<{
event: "new_button_clicked";
triggered_from: "app-bar" | "empty-collection";
}>;
// Tracking function
export const trackNewButtonClicked = (location: "app-bar" | "empty-collection") => {
trackSimpleEvent({
event: "new_button_clicked",
triggered_from: location,
});
};
// Usage
<Button onClick={() => {
trackNewButtonClicked("app-bar");
handleCreate();
}}>
New
</Button>
```
### Example: Event with event_detail
```typescript
// Type definition
export type MetadataEditEvent = ValidateEvent<{
event: "metadata_edited";
event_detail: "type_casting" | "semantic_type_change" | "visibility_change";
triggered_from: "admin" | "data_studio";
}>;
// Tracking function
export const trackMetadataChange = (
detail: "type_casting" | "semantic_type_change" | "visibility_change",
location: "admin" | "data_studio"
) => {
trackSimpleEvent({
event: "metadata_edited",
event_detail: detail,
triggered_from: location,
});
};
// Usage
trackMetadataChange("semantic_type_change", "data_studio");
```
### Example: Event with result and duration
```typescript
// Type definition
export type MoveToTrashEvent = ValidateEvent<{
event: "moved-to-trash";
target_id: number | null;
triggered_from: "collection" | "detail_page" | "cleanup_modal";
duration_ms: number | null;
result: "success" | "failure";
event_detail: "question" | "model" | "metric" | "dashboard";
}>;
// Tracking function
export const trackMoveToTrash = (params: {
targetId: number | null;
triggeredFrom: "collection" | "detail_page" | "cleanup_modal";
durationMs: number | null;
result: "success" | "failure";
itemType: "question" | "model" | "metric" | "dashboard";
}) => {
trackSimpleEvent({
event: "moved-to-trash",
target_id: params.targetId,
triggered_from: params.triggeredFrom,
duration_ms: params.durationMs,
result: params.result,
event_detail: params.itemType,
});
};
// Usage with timing
const startTime = Date.now();
try {
await moveToTrash(item);
trackMoveToTrash({
targetId: item.id,
triggeredFrom: "collection",
durationMs: Date.now() - startTime,
result: "success",
itemType: "question",
});
} catch (error) {
trackMoveToTrash({
targetId: item.id,
triggeredFrom: "collection",
durationMs: Date.now() - startTime,
result: "failure",
itemType: "question",
});
}
```
## Naming Conventions
### Event Names (snake_case)
```typescript
// Good
"data_studio_library_created"
"table_picker_filters_applied"
"metabot_chat_opened"
// Bad
"DataStudioLibraryCreated" // Wrong case
"tablePickerFiltersApplied" // Wrong case
"filters-applied" // Use underscore, not hyphen
```
### Event Type Names (PascalCase with "Event" suffix)
```typescript
// Good
DataStudioLibraryCreatedEvent
TablePickerFiltersAppliedEvent
MetabotChatOpenedEvent
// Bad
dataStudioLibraryCreated // Wrong case
DataStudioLibraryCreated // Missing "Event" suffix
```
### Tracking Function Names (camelCase with "track" prefix)
```typescript
// Good
trackDataStudioLibraryCreated
trackTablePickerFiltersApplied
trackMetabotChatOpened
// Bad
DataStudioLibraryCreated // Missing "track" prefix
track_library_created // Wrong case
logLibraryCreated // Use "track" prefix
```
## Common Patterns
### Pattern 1: Feature-Specific Union Types
Group related events together:
```typescript
export type DataStudioEvent =
| DataStudioLibraryCreatedEvent
| DataStudioTablePublishedEvent
| DataStudioGlossaryCreatedEvent;
export type MetabotEvent =
| MetabotChatOpenedEvent
| MetabotRequestSentEvent
| MetabotFixQueryClickedEvent;
// Then add to SimpleEvent union
export type SimpleEvent =
| /* other events */
| DataStudioEvent
| MetabotEvent
| /* more events */;
```
### Pattern 2: Conditional Tracking
Track different events based on user action:
```typescript
const handleSave = async () => {
if (isNewItem) {
await createItem(data);
trackItemCreated(newItem.id);
} else {
await updateItem(id, data);
trackItemUpdated(id);
}
};
```
## Common Pitfalls
### Don't: Add custom fields to SimpleEvent
```typescript
// WRONG - SimpleEvent doesn't support custom fields
export const trackFiltersApplied = (filters: FilterState) => {
trackSimpleEvent({
event: "filters_applied",
data_layer: filters.dataLayer, // ❌ Not in SimpleEventSchema
data_source: filters.dataSource, // ❌ Not in SimpleEventSchema
with_owner: filters.hasOwner, // ❌ Not in SimpleEventSchema
});
};
// RIGHT - Use only standard SimpleEventSchema fields
export const trackFiltersApplied = () => {
trackSimpleEvent({
event: "filters_applied",
});
};
// Or use event_detail for a single variant
export const trackFilterApplied = (filterType: string) => {
trackSimpleEvent({
event: "filter_applied",
event_detail: filterType, // ✓ "data_layer", "data_source", etc.
});
};
```
### Don't: Forget to add event to union type
```typescript
// Define the event
export type NewFeatureClickedEvent = ValidateEvent<{
event: "new_feature_clicked";
}>;
// ❌ WRONG - Forgot to add to SimpleEvent union
// Event won't be recognized by TypeScript
// ✓ RIGHT - Add to appropriate union
export type SimpleEvent =
| /* other events */
| NewFeatureClickedEvent;
```
### Don't: Mix up event name formats
```typescript
// WRONG
event: "dataStudioLibraryCreated" // camelCase
event: "data-studio-library-created" // kebab-case
event: "Data_Studio_Library_Created" // Mixed case
// RIGHT
event: "data_studio_library_created" // snake_case
```
### Don't: Track PII or sensitive data
```typescript
// WRONG - Don't track user emails, names, or sensitive data
trackSimpleEvent({
event: "user_logged_in",
event_detail: user.email, // ❌ PII
});
// RIGHT - Track non-sensitive identifiers only
trackSimpleEvent({
event: "user_logged_in",
target_id: user.id, // ✓ Just the ID
});
```
### Don't: Forget to track both success and failure
```typescript
// WRONG - Only tracking success
try {
await saveData();
trackDataSaved();
} catch (error) {
// ❌ No tracking for failure case
}
// RIGHT - Track both outcomes
try {
await saveData();
trackDataSaved({ result: "success" });
} catch (error) {
trackDataSaved({ result: "failure" });
}
```
## Testing Analytics Events
While developing, you can verify events are firing:
1. **Check browser console** - When `SNOWPLOW_ENABLED=true` in dev, events are logged
2. **Use shouldLogAnalytics** - Set in `metabase/env` to see all analytics in console
3. **Check Snowplow debugger** - Browser extension for Snowplow events
Example console output:
```
[SNOWPLOW EVENT | event sent:true], data_studio_table_picker_filters_applied
```
## File Organization
### Where to put tracking functions:
```
Feature-specific analytics functions:
frontend/src/metabase/{feature}/analytics.ts
enterprise/frontend/src/metabase-enterprise/{feature}/analytics.ts
Event type definitions (all in one place):
frontend/src/metabase-types/analytics/event.ts
Core tracking utilities:
frontend/src/metabase/lib/analytics.ts
```
## Real-World Examples
See these files for reference:
- **Simple events**: `enterprise/frontend/src/metabase-enterprise/data-studio/analytics.ts`
- **Events with variants**: `frontend/src/metabase/dashboard/analytics.ts`
- **Complex events**: `frontend/src/metabase/query_builder/analytics.js`
- **Event type examples**: `frontend/src/metabase-types/analytics/event.ts`
## Workflow Summary
1. **Identify the user interaction** to track
2. **Decide on event name** (snake_case, descriptive)
3. **Define event type** in `event.ts` using `ValidateEvent`
4. **Add to union type** (create feature union if needed)
5. **Create tracking function** in feature's `analytics.ts`
6. **Import and call** at the interaction point
7. **Test** that events fire correctly
## Tips
- **Be specific** - `filters_applied` is better than `action_performed`
- **Use past tense** - `library_created` not `create_library`
- **Group related events** - Create feature-specific event union types
- **Track meaningful actions** - Not every click needs tracking
- **Consider the data** - What would you want to analyze later?
- **Stay consistent** - Follow existing naming patterns in the codebase
- **Document context** - Use `triggered_from` to track where the action happenedRelated Skills
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