LinkedIn Learning provides a wealth of insights and analytics that organizations can use to understand how employees are utilizing the platform. As an online learning solution, LinkedIn Learning offers robust reporting and tracking capabilities to help organizations align learning to key business goals, encourage learning, and showcase the impact of learning programs.
Some of the key things an organization can see on LinkedIn Learning include:
Learning Progress and Completion Rates
Organizations get a high-level view into learner engagement with statistics on learning program completion rates. You can see the percentage of assigned courses that are finished across the organization. Drill down further to view completion rates by department, group, or individual learner. Track completion over time to see if rates are improving.
Most Popular Content
Gain insights into the topics and courses that are resonating most with your employees. See which courses are getting the most views and shares. Find out if learners are truly engaging with the content that’s important for your organization’s goals.
Learner Profiles
Administrators can look up any individual learner profile. See all the courses a person has watched or bookmarked. Check their status on assigned learning paths. Track skills and proficiencies gained. Learner profiles provide a detailed record of an individual’s learning activities.
Course and Video Analytics
Get data on views, starts, and completions for each video and course. Find out which parts learners are engaging with most. See average completion rates for courses. Identify areas for improvement in your learning programs.
Certifications
If you offer LinkedIn Learning certifications, administrators can pull reports on which employees have earned certifications. This allows organizations to see who has achieved proficiency in key subject areas.
Learning Paths
For assigned Learning Paths, administrators can view status and completion rates by individual or group. See how many learners have finished the path versus just starting out. Assess participation in and progress through multi-course programs.
Groups Analysis
Segment learner data by group within your organization. Groups allow you to track learning metrics for different departments, locations, roles, and more. Compare groups to see how learning engagement varies.
API Access
Administrators can access learning data through LinkedIn’s APIs. Build custom reports, sync data with other systems, or feed insights to your business intelligence tools. The API opens up additional possibilities for tracking and analyzing learning.
Individual Learner Analytics
LinkedIn Learning provides a wealth of data on each learner in your organization. As an administrator, you can drill down to see:
- All courses and videos viewed by the learner
- Learning content bookmarked for future reference
- Average video watch time
- Status on assigned learning paths and courses
- Skills gained from courses
- Certifications achieved
Having access to these kind of insights on each employee allows organizations to better understand learning habits and needs. You can see who is fully embracing learning content versus struggling. Identify top performers to spotlight as role models. The detailed analytics at the individual level also help with coaching, training, and alignment conversations.
Group-Level Analytics
Within your organization, you can segment learners into groups based on:
- Department
- Location
- Role
- Level
- Manager
Grouping employees gives you the ability to analyze trends and patterns within those segments. Compare groups to uncover variances in learning engagement and needs. Here are some examples of group-level insights:
By Department
Look at learning completion rates, certifications achieved, skills gained, and popular content by department. See if some departments are more actively embracing learning than others. Identify potential training gaps or opportunities.
By Location
Track how learning metrics differ across geographic regions or office sites. Factor in location-specific needs when assigning and recommending content.
By Role
Gain visibility into learning habits and impact for different roles. Prioritize content that is highly relevant to each role. Look for skills gaps to fill.
By Level
Understand if learning engagement varies for individual contributors, managers, directors, and executives. Ensure learning aligns to leadership development needs at higher levels.
By Manager
See if learning culture and behaviors cascade from managers. Identify managers advocating for learning who can be champions. Target managers who need coaching on learning best practices.
Segmenting by group provides the intel needed to personalize and optimize learning across the organization. Tailor programs and recommendations based on group-specific needs and opportunities.
Learning Program Analytics
LinkedIn Learning offers rich analytics into the performance of your learning programs and initiatives:
Assigned Courses
Track completion rates on all courses you have formally assigned. Look at engagement over time – are more learners doing assigned courses? Get notifications if completion rates dip below target thresholds.
Learning Paths
For multi-course Learning Paths, see how many learners have started versus finished the path. Assess engagement for each course within the path. Identify weak spots or drop-offs in participation.
Channels
If you organize content into channels or collections, you can view unique metrics for each one. See most popular channels and courses. Identify channels needing promotion.
Certifications
Track how many learners attempt and complete certifications. See which questions learners struggle with the most. Use certification data to evaluate subject area proficiency.
Recommendations
Analytics show how frequently learners engage with your customized course recommendations. Monitor clicks on recommendations in the platform.
Skills
As learners add skills in their profile, you get visibility into top skills gained from learning content. Identify the areas where employees are building proficiency.
Leverage these program-level insights to quantify the impact of learning. Demonstrate how completion of courses, certifications, and skills positively contributes to achieving key business goals. The analytics help make the case for further investment in learning programs. They also pinpoint opportunities to fine-tune content and better activate learners.
Content Analytics
Within LinkedIn Learning, administrators can drill down to see engagement metrics for every piece of content:
Courses
Get data on course starts, completions, bookmarks, and average completion rates. See which courses have the highest impact based on this criteria.
Videos
Track number of video views, average watch time, rewinds, and abandonment rates. Identify the most and least engaging videos within courses.
Channels
For channels, assess popularity based on total channel views. See completion rates for each course within a channel.
Learning Paths
Analyze each course within a Path to understand where learners are dropping off. Review completion rates for every Path.
Skills
Identify the most viewed skills and courses associated with those skills. Prioritize top skills for future content development.
These content analytics allow organizations to doubleclick into the learning assets driving the most impact and engagement. Know which specific topics and courses to promote based on interest and performance. Find weak spots where content needs improvement or gaps exist. Curate learning content that clearly aligns to learner needs.
Reporting Timeframes
LinkedIn Learning analytics can be viewed across different time horizons:
All-Time
The default view shows metrics across the full history of your relationship with LinkedIn Learning. View total engagement since you began using the platform.
Rolling 12 Months
Evaluate trends over the last 12 months. Compare engagement and completion rates year-over-year.
Custom Range
Define a specific date range to analyze – whether that’s this month, this quarter, or anything else. Isolate metrics within key periods of interest.
Since Last Login
See learning activity since the last time the admin logged in. Quickly catch up on the latest data.
Monthly Active Users (MAU)
Track the monthly active users who engage in learning. Monitor month-over-month progress on active learning usage.
Choose the timeframe that provides the most meaningful insights based on your analysis needs. The flexibility makes it easy to segment data into relevant periods to uncover trends.
Exporting Data
To enable further analysis, LinkedIn Learning offers several options to export data:
Admin Experience
In the admin view, export tables into CSV format. The CSV files can be opened in Excel or other analytics platforms for further manipulation.
Reporting APIs
Pull data directly into your business intelligence platform or database using the LinkedIn Learning Reporting APIs. Automate report generation.
Microsoft Power BI Integration
Use out-of-the-box integration to visualize LinkedIn Learning analytics right in Power BI dashboards. Create custom reports and charts.
Thanks to these export options, administrators are not limited to the out-of-the-box views in LinkedIn Learning. You can build custom reports and aggregate data to obtain a customized analysis of learning trends and impact. Integrate these insights into broader business metrics and KPIs.
Benchmarking
To provide greater context for analysis, LinkedIn Learning offers benchmarking against aggregated, anonymous data from other customers. Benchmarks help you understand:
- Average hours per learner
- Percentage of learners actively using the platform
- Most popular content globally
- Average completion rates for courses
- Certification pass rates
Benchmarks give you a point of comparison beyond just your internal data. Gauge your learning program effectiveness versus broader industry baselines and best practices. Uncover additional opportunities by seeing what peer organizations are doing with their LinkedIn Learning programs.
Notifications and Alerts
Take the guesswork out of monitoring analytics by setting up automated notifications and alerts when key thresholds are hit. Types of alerts include:
Completion Rate Alerts
Get notified if course or program completion rates dip below target. Proactively address any barriers to completion.
Content Recommendations
See which new courses are suggested based on your learners’ interests and activity. Identify fresh, relevant content to assign.
Certification Alerts
Congratulate learners automatically when they complete a certification.
Anniversary Alerts
Celebrate learners when they hit milestones like one year on the platform. Keep momentum going.
Set up the right alerts to fit your goals, whether that’s increasing skills, boosting utilization, or improving program efficacy. Ongoing monitoring ensures you never miss important changes in learning analytics.
Getting Started Tips
Follow these best practices to get the most value from LinkedIn Learning analytics for your organization:
- Make analytics easily accessible by adding them to relevant dashboards
- Assign Learning Paths to drive completion of priority programs
- Tag content with skills so you can track proficiency gains
- Set up groups to analyze trends by segments
- Enable single sign-on (SSO) to link learning to HR systems
- Use APIs and Power BI for deeper data analysis
- Create scorecards and reports to showcase impact
- Notify stakeholders when key metrics hit thresholds
- Compare benchmarks to find improvement opportunities
- Discuss analytics regularly at learning governance meetings
Following best practices ensures your organization gets maximum value from the robust analytics available in LinkedIn Learning. Visibility into learning data allows for better strategic decision-making and thoughtfully optimized learning programs.
Conclusion
LinkedIn Learning offers extensive analytics capabilities that give organizations unparalleled insights into learning programs. Administrators can track utilization, completion rates, certifications, skills gained, and content analytics down to individual courses and videos. Compare trends across groups and generations. Export data to create custom reports. Access benchmarks to evaluate progress. Ultimately, the goal is to use analytics to maximize learning impact, showcase ROI, and improve alignment to strategic business goals. With clear visibility into learner behavior and content performance, organizations can make learning a data-driven strategic priority.