Where to find analytics for any piece of content, Workshop, or Assessment — and what each type's analytics page actually shows.


Continu's content analytics live behind the Info/Analytics icon on each piece of content. The page surfaces views, assignments, ratings, and content-type-specific metrics. For Tracks, SCORM, Workshops, and Assessments, the analytics page also includes specialized data unique to that type.

Reach for the per-content analytics page when you need detail on a specific piece — who viewed it, who completed it, how it's rated. For org-wide or program-wide analytics, see the broader Reporting: Which Report Should I Use?.


How to Open Content Analytics

1. Navigate to the relevant Admin page. From the left-hand navigation, open the page for the content type you want analytics on — Content, Workshops, Assessments, etc.

2. Find the item. Browse or search to locate the specific piece.

3. Click the Info/Analytics icon. The icon appears next to each item and opens the analytics view for that piece.

Info icon next to content

Analytics page opened


Standard Analytics — Articles, Videos, Files

Articles, Videos, and Files show the standard Analytics page:

User Views graph over time. How view volume has changed — useful for spotting content that spiked then faded, or content that's been growing steadily.

List of users who have viewed the content. Per-user view records with timestamps.

Changelog of edits. When the content was created and edited, with the editor identified.


Learning Track Analytics

Learning Tracks include the standard analytics plus per-Track metrics — learners on the Track, their progress through it, completion dates, and a Track Digest export for offline analysis. For the full breakdown, see Learning Track Status Report and Downloading Content-level Learning Track Analytics.


SCORM Analytics

SCORM courses include status data from the SCORM file itself — completion status (Complete/Incomplete or Passed/Failed depending on whether the course contains a graded quiz), time spent, and quiz scores if the SCORM reports them.

Remember: Continu surfaces what the SCORM file reports. If a SCORM doesn't report time-spent or quiz scores, Continu can't show them. See A Guide to SCORM in Continu for the underlying behavior.


Workshop Analytics

Workshop analytics include registration, attendance, and post-session metrics. For specific Workshop reporting paths, see Download Workshop Activity Reports.


Assessment Analytics

Assessment analytics surface attempt data, scores, and per-question performance. For the deeper review flow, see Assigning an Assessment and the Assessment grading articles.


What to Look For in Content Analytics

View velocity over time. A spike followed by a drop often means the content was assigned heavily, then stopped getting new assignments. Steady growth suggests it's working organically.

Completion vs view ratio. If many learners view but few complete, the content may be too long, the completion criteria too strict, or the content not delivering on its title.

Ratings distribution. Open the Ratings tab if enabled. Average rating tells you one thing; the distribution tells you whether the content is broadly working or polarizing.

Changelog activity. Content that hasn't been edited in two years may be stale. Use the changelog as a maintenance signal.


Configuration Pitfalls

Drawing Conclusions From Low Volume. View, completion, and rating data with very low samples is noisy. Wait until you have enough data to be confident before acting on it.

Forgetting That Views Don't Mean Engagement. A view is just an open. For Videos, you may want time-watched data (where available) to know whether learners actually engaged. View counts inflate easily; engagement counts don't.

Ignoring the Ratings Distribution. A 4.0 average from 50 ratings can mean broadly liked or sharply polarized — the average obscures the difference. Always look at the distribution, not just the headline number.

Not Comparing to Similar Content. A 60% completion rate is great or terrible depending on the content's expected baseline. Compare to similar content in your library to set context.


Where This Fits

You're here because you need analytics on a specific piece of content. For org-wide and program-wide reporting, see Reporting: Which Report Should I Use?. For ratings specifically, see View Content Ratings.


See Also


Info/Analytics icon for per-content detail. Look at the distribution, not just the average. Compare to baselines before drawing conclusions.

Was this article helpful?
1 out of 1 found this helpful