Stickiness helps you dig into the details of your product's user engagement, specifically users that have formed product usage habits.

This article explains the _Metrics_ Module of the Stickiness chart and helps you interpret your stickiness analysis.

## Before you begin

If you haven't already, read [building a Stickiness chart in Amplitude](/docs/analytics/charts/stickiness/stickiness-identify-features).

## Interpret your Stickiness chart

In Amplitude, you can measure stickiness in one of two ways: **cumulatively** or **non-cumulatively**. You can change this setting at the top of the Metrics Module at any time during your analysis.

### Non-cumulative stickiness

The non-cumulative Stickiness chart shows the percentage of users who triggered the event at least one time on the **exact number of days** listed on the X axis. For example, users in the _2 days_ bucket triggered the event on **exactly two days** over the course of a week (or month) in the time frame of your analysis. Users in the _3 days_ bucket triggered the event on **exactly three days** in a week.

{% callout type="note" %}
A user can appear in more than one bucket of a non-cumulative stickiness analysis for each week (or month) in the time frame. For example, they might trigger the event on one day in week one, then three times in week two. This user appears in both the one-day and three-day buckets.
{% /callout %}

### Cumulative stickiness

The cumulative Stickiness chart shows the percentage of users who triggered the event one or more times on **at least the number of days** listed on the X axis. For example, users in the _2 days_ bucket triggered the event on **two or more** days over the course of a week (or month) in the time frame of your analysis. Users in the _3 days_ bucket triggered the event on **three or more** days in a week.

You can also click a specific data point to inspect the users included in that point. Refer to the [Microscope](/docs/analytics/microscope) article for more information.

### Breakdown data table

The table shows a detailed breakdown of the data by each user cohort and more granular daily buckets. Days with incomplete data have an asterisk.

![interpret stickiness 5.png](/images/stickiness/interpret-stickiness-5-png.png)

## Track changes in stickiness over time

You can discover how the stickiness of your most engaged users fluctuates over time by selecting _Change Over Time_ from the _..shown as_ dropdown menu.

## Create a cohort from your Stickiness chart

Users on Scholarship, Growth, and Enterprise plans can create a [cohort](/docs/analytics/microscope).