Version 4.24.0 April 2024

Content Analytics Dashboard

Check out what’s new in Apty!

Introducing Apty’s New "Content Analytics Dashboard”

As enterprises continue to add new technologies to their tech stacks, it becomes increasingly critical to understand how the tools are being used and where users are struggling.

The last Apty product update introduced our "Enhanced Content Creation Experience" - the fastest way to build workflow content. However, the foundation of digital adoption success lies not only in content generation, but in user adoption analytics – enabling you to deeply understand how users are interacting with your content, where they are succeeding, and where additional improvement is needed.  

To that end, the latest product update of Apty introduces the “Content Analytics Dashboard” for all content types - Announcements, Tooltips, Validation, Checklists, Knowledge Center, Widget Search, & Workflows.

With the new dashboard, we look beyond just the clicks and views on your Apty content, and monitor over 100 key metrics, including user engagement time at every step interaction with the content, frequency of accessing the help content, increase/decrease in the interaction trend over time. usage trends, user stages within each content type, etc. This deep data empowers transformation and enablement leaders to refine user-specific content strategies and compare the performance of various content types for different user segments. Now, you can leave behind the endless creation of workflows or tooltips, guessing at what will improve adoption, but follow a data-driven prescription to achieve their adoption goals.

With Apty Content Analytics - your data leads the way for improved content strategy and better tech stack adoption.

What’s new? 

The new “Content Analytics” dashboard includes the following: 

1. The “Content Summary Dashboard” highlights the high-level content performance for various types of content, at a user segment level, at a software application level, all over fully customizable time-periods. 

2. “Workflow Analytics” covers the user engagement metrics across various user segments from the application level to the individual workflow level. 

3. “Validation Analytics” tracks validation engagement metrics, identifying trends in the most engaged, least engaged, and unengaged validations across various user segments. 

4. “Other Content Types Analytics” gets deep into every other content type, such as Tooltips, Announcements, Knowledge Centers, Checklists, Widget Search, Launcher, etc., to get holistic adoption insights that run down every step of the content. 

How to access the new “Content Analytics Dashboard”? 

Follow these simple steps to access the new dashboard:

• Log in to your Apty Admin account.

• You'll find Content Analytics in the side panel of your application.

Now, let’s get to the analytics: 

1. Content Analytics Dashboard: Content Analytics gives detailed insights into how your content performs in a specific software application, helping you refine your digital content strategy and finally solve the adoption problem. It shows engagement metrics and trends with customizable filters for duration, environment, and segments, making it easier to understand and optimize your content strategy. 

   1. Key metrics covered: 

      1. High-level user engagement across announcements, tooltips, workflows, and other content types.

      2. Changes in user interaction trends over time. 

      3. Sources of frequently used content, filtered by your target user segment. 

      4. Visibility into top and low performing content types.

For a comprehensive understanding of the Content Analytics Dashboard, please click here.

1. Workflow Analytics: Workflows are step-by-step instructions created within or across enterprise software applications to guide users through business-critical processes. Workflow Analytics dives into the workflow performance at the application level down to the individual workflow step level. 

   1. Key metrics covered:  

      1. User engagement and time spent for all workflows. 

      2. Frequency of engagement at every step of the workflow, segmented by “Max Engaged, Min Engaged, Errored Engagement”. 

      3. Sources of workflow initiation like “Launcher, Knowledge Center, etc.” 

      4. Trends in user engagements across all workflows.

      5. Flowchart visualization of individual workflows that highlights step by step performance.

      6. User behavior at every step of a workflow journey, sorted by “Completed, In progress, Incomplete, Error.” 

For deeper insights into Workflow Analytics, click here.

1. Announcement Analytics: Announcements are user notifications that appear on screen to keep the users informed about major updates. The “Announcement Analytics” dives into the user behavior while interacting with those announcements.

   1. Key metrics covered: 

      1. Overall engagement across all announcements in a software application, that can be filtered at the segment level.

      2. Engagement frequency and time spent in the announcement pop-ups.

      3. Tabular view of  frequency trends in engagements.

      4. User activities at the individual announcement level. 

For deeper insights into Announcement Analytics, click here.

1. Tooltips Analytics: Tooltips help users navigate through difficult or unfamiliar steps in a process. Tooltips Analytics help enablement leaders and content creators with data-driven insights into the adoption of tooltips, both at the application and individual tooltip level. 

   1. Key metrics covered:

      1. The volume of user engagement across tooltips. 

      2. Segment-level analysis across various job roles and business units. 

      3. Frequency of engagement across tooltips.  

      4. Trend comparison across top-engaged and least-engaged tooltips. 

      5. User behavior at the individual tooltips level. 

For deeper insights into Tooltip Analytics, click here.

1. Launcher Analytics: Launchers are often used to bring important action items to the front, such as “frequently used reports,” “high-risk account activity links,” etc.  

   1. Key metrics covered:

      1. Launcher Engagement Analysis over a customizable date range. 

      2. User segment level interactions and comparisons. 

      3. Frequency of using a launcher vs direct links. 

      4. User Engagement at the individual launcher level. 

For deeper insights into Launcher Analytics, click here.

1. Validation Analytics: Data validations are created to enforce process SOPs and compliance across the organization. Validation analytics ensures application reliability and security during data entry and real-time tracking of events, errors, and warnings. 

   1. Key metrics covered:

      1. Engagement analysis display trends of correct usage vs user errors over a customized time range.

      2. Average usage frequency for various user segments.

      3. User adoption and usage at individual validation level. 

For deeper insights into Validation Analytics, click here.

1. Knowledge Center Analytics: A knowledge center is a one-stop repository with various types of help content, videos, and checklists for user onboarding and training. As an adoption leader, it's essential to analyze the user behavior across various content types through the knowledge center. 

   1. Key metrics covered:

      1. User Engagement metrics among various help content types from within a knowledge center.

      2. Segment level analysis and application-level analysis for all user segments.

      3. Frequency of usage from within knowledge center vs outside of it.

      4. Most and least engaged content types within a knowledge center. 

For deeper insights into Knowledge Center Analytics, click here.

1. Checklist Analytics: Every user onboarding is incomplete without an on-boarding checklist. Checklist analytics provides insights to training and onboarding leaders into user behavior and training compliance. It helps track adoption, completion rates, and overall engagement. 

   1. Key metrics covered:

      1. Checklist Engagement Analysis displays usage and interactions. 

      2. Content Overview provides average engagement frequency. 

      3. Segment Level Insights displays engagement metrics within specific segments. 

      4. Usage analytics at the individual checklist level. 

For deeper insights into Checklist Analytics, click here.

1. Widget Search Analytics: Widget Search Analytics provides insights into search engagement metrics and detailed analysis of search terms, with filtering options for duration, environment, and segments. 

   1. Key metrics covered:

      1. High level overview of user engagement.

      2. Average search frequency.

      3. Segment Level Insights displays metrics for specific segments.

      4. Top keywords searched by users. 

For deeper insights into Widget Search Analytics, click here.