# Analyzing the adoption of web applications

The **Digital Adoption Insights** dashboard enables you to measure and enhance employee engagement with web applications. Know where adoption gaps exist, investigate further, and take targeted actions, such as deploying in-app guidance with Nexthink Adopt.

Unlike the dashboards in the Application Experience module mainly focused on performance—such as **Overview**, **Performance**, and **Benchmark**—this dashboard centers on adoption behavior.

Access the **Digital Adoption Insights** dashboard by opening **Applications** from the main menu and selecting **Application Adoption** from the navigation panel.

{% hint style="warning" %}
The **Digital Adoption Insights** dashboard requires Nexthink [Adopt](https://docs.nexthink.com/platform/user-guide/adopt).
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The **Digital Adoption Insights** dashboard enables you to analyze and respond to adoption patterns within your digital environment using data organized across five tabs:

* **Applications:** Identify which applications are widely adopted and which need adoption support.
* **Employees:** Discover which user groups engage most or least with digital tools.
* **Pages:** Detect the key pages with most or least page views.
* **Transactions:** Verify whether employees are successfully completing digital workflows.
* **Page view insights:** Track adoption trends over time and measure improvement.

{% hint style="info" %}
If needed, filter the data display on each tab for dimensions, such as Web application or Country, to refine your analysis and focus your adoption strategy.

Refer to the [#filtering-dashboard-data](#filtering-dashboard-data "mention") section on this page.
{% endhint %}

### Identifying adoption priorities with the Applications tab

The **Applications** tab helps you identify where adoption is strong or lagging across your organization. It highlights engagement levels to guide where to focus enablement and in-app guidance efforts.

* Spot adoption leaders and laggards by reviewing which are the:
  * **Most used applications:** usage time of more than 1 hour per employee.
  * **Occasionally used applications:** usage time of more than 10 minutes but less than 1 hour per employee.
  * **Rarely used application:** usage time of less than 10 minutes per employee.
* Quantify engagement by measuring **Total** and **Usage Time per employee** for each application.

Investigate underused applications to understand their infrequent use, as some applications may naturally have low usage rates due to their specific purpose or technical limitations.

The **Web application usage** metrics provide hints on how you should optimize software investments.

<figure><img src="https://268444917-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FxJSUDk9NTtCHYPG5EWs3%2Fuploads%2Fgit-blob-44eac862459f2d2933f14265aedbe5fa934bcbab%2Fimage.png?alt=media" alt=""><figcaption></figcaption></figure>

### Discovering engagement patterns with the Employees tab

The **Employees** tab enables you to analyze how different employee groups are adopting web applications, shifting focus to real user engagement.

* Identify usage behavior by measuring the **Total employees using web applications** and the duration of their usage: **more than an hour** or **less than 10 minutes**. Additionally, visualize the **Usage time per employee** to identify trends over time.
* Compare adoption across teams using engagement **Breakdowns** by **Department**, **Organizational unit**, **Entity**, or **Job title** to optimize software adoption strategies based on location and role-specific needs.

Certain tools might inherently experience low engagement due to their niche use or technical constraints. For other tools, consider implementing adoption strategies such as in-app guides or awareness campaigns to boost engagement.

{% hint style="info" %}
For a more effective analysis, apply filters at the top of the dashboard to focus on a specific application.
{% endhint %}

<figure><img src="https://268444917-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FxJSUDk9NTtCHYPG5EWs3%2Fuploads%2Fgit-blob-dfb4d105514b4d6e1ef821dc9e47e3d4e370419b%2Fimage.png?alt=media" alt=""><figcaption></figcaption></figure>

### Uncovering friction points with the Pages tab

The **Pages** tab helps you pinpoint where adoption gaps occur within browser web applications. By examining page-level activity, you can identify potential pages for deploying additional guidance or design optimizations.

* Review the trend of **Page views** versus their related number of employees to understand adoption correlations. Check the **Total** and **Average usage time** of the related application pages.
* Check the **Key pages** dashboard section for hotspots in web applications where users spend the most time on or access/view most frequently.

  * **Configured Key Pages:** Number of tracked key pages.
  * **Unique URLs:** Total distinct web addresses accessed.
  * **Tagged/Untagged URLs:** Distinguishes between URLs classified as key pages and those that are not.

  In addition, use the line chart to visualize and compare **URLs with a configured key page** versus **URLs without a key page** (untagged).
* View **Page view breakdowns** by **Department**, **Organizational unit**, **Entity**, or **Job title** to map relevant application pages to specific groups and locations.
* Leverage **Other breakdowns** by reviewing the **Pages and URLs with most page views** and **Untagged URLs with most page views** to reveal new pages that might need tracking.

Examining user engagement on specific pages helps pinpoint tasks or processes that may be causing significant friction in company processes.

{% hint style="info" %}
For a more effective analysis, apply filters at the top of the dashboard to focus on a specific application.
{% endhint %}

<figure><img src="https://268444917-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FxJSUDk9NTtCHYPG5EWs3%2Fuploads%2Fgit-blob-fadf30f3bc748ff887ce470f5eede7f9ca8f70d3%2Fimage.png?alt=media" alt=""><figcaption></figcaption></figure>

### Detecting procedure inefficiencies with the Transactions tab

The **Transactions** tab enables you to evaluate how effectively employees are completing in-app procedures and digital tasks. Rather than focusing on technical metrics, this tab also hints at behavioral aspects of adoption.

* Review productivity by measuring the volume of **Total completed transactions** and **Completed transactions per employee**, across various applications, and determine how adoption initiatives and app technical performances influence completion rates over time.
* Visualize the behavioral and app-performance trend over time, comparing the **Total** versus **Completed transactions** within the context of the number of employees.
* Locate process bottlenecks using **Breakdowns** by **Department**, **Organizational unit**, **Entity**, or **Job title** to identify teams and branches where employees are not completing critical tasks. Redesign the related problematic procedures as needed.

{% hint style="info" %}
For a more effective analysis, apply filters at the top of the dashboard to focus on a specific application.
{% endhint %}

<figure><img src="https://268444917-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FxJSUDk9NTtCHYPG5EWs3%2Fuploads%2Fgit-blob-2939bbded9c836e088b617d5361145d310b13b3d%2Fimage.png?alt=media" alt=""><figcaption></figcaption></figure>

### Tracking adoption progress with the Page view Insights tab

The **Page view insights** tab enables you to track the long-term evolution of web application adoption and engagement trends. This tab provides a longitudinal view of how your web application initiatives are performing.

* Monitor adoption growth by visualizing the total of web **Page views** trends over a fixed 90-day period.
* Compare engagement by location or team with **Breakdowns** and technical insights into browsing behavior. The system highlights dropdown fields that have outliers, for example: *'Ethernet' is 13.8 times higher than the next closest value*.

Changes in page view volume can indicate correlations with campaigns, guide deployments, performance enhancements, or feature releases.

{% hint style="info" %}
For a more effective analysis, apply filters at the top of the dashboard to focus on a specific application.
{% endhint %}

<figure><img src="https://268444917-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FxJSUDk9NTtCHYPG5EWs3%2Fuploads%2Fgit-blob-d821123dbb11de6ad687e70ef2d477d2664f96e6%2Fimage.png?alt=media" alt=""><figcaption></figcaption></figure>

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## Filtering dashboard data

Apply filters to focus the data on a specific application. You can filter by:

* **Timeframe:** From the upper right side of the dashboard, select a time period from which the dashboard displays relevant data.
  * If you filter by a period longer than the last **7 days**, you can adapt granularity by week and day.
* **Adoption** breakdowns with listed granular breakdowns for dimensions, such as **Web application** or **Country**, to refine your analysis and focus your adoption strategy.

<figure><img src="https://268444917-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FxJSUDk9NTtCHYPG5EWs3%2Fuploads%2Fgit-blob-e44343e0c5d4e8bfaa1f6da2e2e41c252591567c%2Fimage.png?alt=media" alt=""><figcaption></figcaption></figure>