Track an 'Export to CSV' button's usage

This tests modeling a feature's full lifecycle (intent, success, failure) in analytics. Propose one custom event like export_interaction with a status parameter ('success', 'failure') fired on completion, not just on click.
What's really being asked
This question tests your ability to design analytics that capture the full user journey for an asynchronous action. It's not just about tracking a click; it's about distinguishing user intent (the click) from the system's outcome (success or failure). It also probes your understanding of event schema design: choosing good names and parameters for clarity and future analysis.
The full answer
A strong answer covers four key points. First, use a single, well-named custom event like export_interaction. This is better than multiple event names for the same core action. Second, use a status parameter to differentiate outcomes. The event fires when the export promise resolves ('success') or rejects ('failure'). Third, include rich contextual parameters like file_type: 'csv', item_count: 1500, and source_component: 'data_grid_toolbar' to allow for deeper segmentation. Fourth, briefly explain the implementation: the analytics event is fired inside the .then() or .catch() block of the promise that handles the export, not in the initial onClick handler.
The mistakes people make
A major red flag is suggesting three different events: export_clicked, export_succeeded, and export_failed. This makes it difficult to calculate a simple success rate (successes / total attempts), as you have to query and combine data from multiple event types instead of just grouping by a status parameter on one. Another common mistake is tracking only the initial click, which tells the PM how many people tried but not how many succeeded, which is the key business metric. Finally, using vague parameter names like data1 or value2 instead of descriptive keys is a sign of inexperience.
What usually comes next
Expect follow-ups like: "How would you calculate the success rate with this structure?" (Answer: COUNT(events WHERE status = 'success') / COUNT(all events) for that event name). Or, "What if the export takes 30 seconds and the user closes the tab?" (Answer: For long-running jobs, you could fire an initial 'initiated' event on click, or ideally, the completion event should be fired server-side). "How would you add PDF exports?" (Answer: The file_type parameter is designed for this; just send file_type: 'pdf').
A concrete example
On click, you call an exportData() function that returns a promise. The analytics are fired upon completion. For example: exportData().then(result => { gtag('event', 'export_interaction', { 'status': 'success', 'file_type': 'csv', 'item_count': result.rowCount }); }).catch(error => { gtag('event', 'export_interaction', { 'status': 'failure', 'file_type': 'csv', 'error_code': error.code }); }); This single event structure makes it easy to query for all export attempts and then segment by the status property to find the success rate.
Interview question
To measure the success rate of an asynchronous 'Export to CSV' feature, which analytics implementation is most effective?
- a.Fire a single `export_clicked` event immediately when the user clicks the button.
- b.Fire an `export_initiated` event on click, and a separate `export_completed` event only on success.
- c.Fire three separate events: `export_clicked`, `export_succeeded`, and `export_failed`.
- d.Fire one `export_interaction` event with a `status` parameter indicating 'success' or 'failure' upon completion.Correct
Why? this is the answer
Using a single event with a status parameter allows you to calculate a success rate easily by querying one event type. Using multiple event names makes this calculation more complex.
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Read the original → developers.google.com
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