Microscope: Explore individual data points in your charts

This article helps you:

Inspect your data points in a high level of detail

Amplitude's Microscope feature enables you to dig deeper into a specific data point's users. Just hover over a data point in your chart, and a black pop-up will offer you up to six options (depending on your Amplitude plan) for further inspection.

This article will help you understand how to use this feature and interpret the information provided in the View User Streams and Show User Paths sections.

Feature availability

This feature is available to users on all Amplitude plans. See the pricing page for details.

Before you begin

Only events selected in the chart's Events Module that occur during the date range selected will be highlighted in Microscope streams.
View Groups and Download Groups are only available to Enterprise customers.
Microscope isn't available in the Pathfinder section of the Event Segmentation chart.

Use Microscope

To bring up the Microscope menu, simply click on a data point in any supported chart.

From here, you can:

Add an annotation to your chart on the specific date of the data point you've selected, such as the dates of a feature release or a marketing campaign. Annotations will appear as purple vertical lines in your chart, and they can be removed in your project's Settings page. There are some limits to annotations:
- Annotations can only be created by users with Admin or Manager permission levels.
- Chart-specific annotations are only available for Event Segmentation and User Sessions charts.
- Annotations do not support public links and are not accessible in Dashboards nor Notebooks.
Create a release. A release represents a change in your product. See this Help Center article for more information on releases in Amplitude.
Create a cohort of the users that make up the selected data point, which you can then further analyze by applying this cohort to other charts in Amplitude. When a group is applied in the Segmentation Module, you can also create a group cohort from here.
View a list of all the users in the selected data point. Click a user ID to open that user's profile in the User Activity tab. If you are an Enterprise customer with account-level reporting, you can also use Microscope to view the groups in a data point. Click any group to see a list of users in that group, in the User Activity tab.
Download all the users (up to 1 million) that make up the selected data point, in the form of a .CSV file. This file will also contain each user's most-recently sent user property values.

Note

If you are conducting account-level reporting analysis, you can opt to download the groups included in a certain data point or bucket. The .CSV file will include the following four columns:

group_id: The unique ID of a particular group name (much like Amplitude ID). When Amplitude sees a new group value or group name, Amplitude assigns a unique group_id to the unique group name.
group_name: The group property value (like the user ID). For example, if your count-by was for the group Company, then the group_name could be Amplitude. The group_name values are set by you.
first_time: The Unix timestamp denoting when Amplitude first saw that group.
creator_amplitude_id: The amplitude_id that sent the event creating the group.

Additionally, you can show user paths, view user streams, and explore conversion drivers, all of which are described below.

Show user paths

This option runs a Pathfinder Users report based on user activity for the selected data point. This is useful for when you want to quickly see the top event paths users take after a specific event or on a particular day.

For example, you can view users who dropped off after a specific event or step in a Funnel Analysis chart and see what were the top paths the dropped off users performed, instead of successfully completing the funnel.

Note

The maximum date range for Show User Paths is 30 days.

To analyze what users are doing instead of triggering the Purchase Song or Video event in the funnel chart below, click the drop-off data point for the Purchase Song or Video event and use Microscope's Show User Paths feature to view the top event paths users take after the Add Friends event:

By showing user paths, it becomes clear that after triggering the Add Friends event, many users either exit the app or trigger the Search Song or Video event. Now we can hypothesize ways to improve the product's purchase flow—like sending users an in-app message to purchase a subscription right after they add some friends, for example.

View user streams

When using Microscope in an Event Segmentation chart, you can see individual user streams in aggregate by selecting View User Streams. You'll see all a user's events within the date range of the data point, as well as:

Up to 25 events prior to the beginning of the time range.
Up to 50 events after the start of the time range.

If you have a specific event selected, it will be highlighted in the user's stream. You can also choose to show certain event properties as well. Click a user ID or any event in a user's stream to view their profile in the User Activity tab.

View Session Replay from a user's event stream

If you are a Growth or an Enterprise customer with the Session Replay add-on, you can launch a session replay from Microscope in the following Amplitude charts: Event Segmentation, Funnel Analysis, Journeys, and User Sessions.

While using Microscope in a supported chart, click on View User Streams. Check the Streams with session replays box in the modal that appears. Then click Play Session in the event stream to play the events directly below it. Check out more about the Session Replay feature, and learn about restrictions in the supported charts, in this help center article.

Explore conversion drivers

In a funnel chart, click into any step after the initial event to enable the Explore Conversion Drivers feature. This allows you to explore events triggered between funnel steps for converted and dropped-off users.

For more information, see Amplitude's conversion drivers feature.