Analyzing the Guide details dashboard
To ensure Adopt-related dashboards work properly, enable web usage time collection for applications.
The Guide details dashboard gives you an overview of adoption metrics related to user interaction with the currently selected guide. It allows you to identify which guide steps, tooltips and media have the highest engagement rate over a specified period of time.
This page describes the key insights you can obtain from analyzing the dashboard and widgets.
Dashboard overview
The top section provides an overview of the specific guide deployed in the web application of interest.
Employees: Number of users across the current tenant.
Guide started manually: Number of times your selected guide has been started over the selected time period.
Engagements: Measures the percentage of time employees complete at least one step of this guide. The system excludes single-step guides from this metric.
Completion rate: Number of times employees have fully completed this guide. When the last step of the guide appears, it counts towards this metric without requiring employee interaction.
Drop off rate: Measures the percentage of times employees complete at least one step—showing Engagement—but then choose to close the guide without finishing it. The system excludes from this metric guide executions closed at the very first step.
Average guide duration: Average time spent by employees completing this guide. This is calculated based on all guide interaction metrics rather than guide completion.
Guide steps table
Despite the naming convention, the Guide step widget displays data from all guide types. Tooltips are considered a single step, and each page displayed in a Media guide is considered a step.
The Guides steps table breaks down the overview engagement data listed above by each guide step or overlay. This widget lists step-related breakdowns over the selected time period, including:
Rank measured by an aggregation of all engagement data.
Step type. This can be a step, decision or action.
Step names. These are generated based on the first sentence in the content.
Number of views for the specific step.
Average duration of time spent by employees interacting with the step.
Interpreting user engagement rates
When analyzing user engagement rates, consider:
A low Engagement rate indicates the need to improve employee targeting rather than revising the guide content. Users exiting at the first step likely means the guide targets employees who find the content irrelevant.
A high Drop off rate helps identify problematic guide steps that may be unclear or too complex, requiring content improvements to enhance guide effectiveness.
The Drop off rate and Completion rate do not add up to 100%, as they are not complementary.
The table below breaks down how Nexthink calculates the user engagement rates—for a 10-step guide:
Employee#1 closes the guide right away
0%
0%
0%
Employee#2 completes 3 out of 10 steps, and closes the guide
100%
0%
100%
Employee#3 completes all 10 steps
100%
100%
0%
Average
67%
33%
33%
Dashboard breakdowns
The following widget allows you to filter the dashboard data by several categories. It uses adoption-specific metrics.
Web guide executions:
Operating system → Platform
Binary → Product name
Guide execution → Browser language
Location:
Location → Country
Location → State
Location → Site
Location type
Organization:
Organization → Entity
User:
Active Directory → Department
User-defined custom fields
Each category presents data in the following columns:
Employees in the same entry.
Amount of Started guides across users in the role.
Amount of guides Started manually across users in the role (accessed from Context help).
Guide duration with the time spent by employees in the role interacting with the Guides.
Filtering dashboard data
Apply filters to focus the data on a specific application or guide. You can filter by:
Time period: 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 sort by week and day.
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