Download a course's Overview, Users and Videos tables as CSV straight from the Insights dashboard, export any video discussion, and feed the same engagement data to your warehouse, BI tool or learning record store. Annoto's insight goes wherever your institution needs it.
Program review, institutional research and cohort comparison all happen outside a dashboard, and none should depend on screenshots.
Overview, Users and Videos, UTF-8 encoded so any language survives the trip.
Pull the same data through the API, or send xAPI statements to a record store.
A completion figure means the same thing in a registrar's report as in the course view.
Grade participation, review a semester of videos, or hand research a clean record.
The export control sits in the top bar of Course Insights. Choosing the CSV export downloads a zip with the Overview, Users and Videos tables. Each Insights tab carries a date-range control, and the Activity Trends graph has its own download menu.
Evidence only improves teaching when it reaches the people planning the next semester.
Every export is drawn from the same metrics that power the Annoto dashboard at site, course, video and user level, so the numbers in your spreadsheet match the numbers on screen.
One click on Course Insights downloads a zip with three files: Overview for the course highlights, Users for course user activity and Videos for every course video.
Collaboration, Replies, Thumbs Up badges, Views, Watched Videos and completion ratings per learner, with email, votes and last login, so participation and completion grade from one sheet.
Per video: Users, Views, Average Completion Rate, Average Total Completion, Watch Time, Engagement, Collaboration, Interactions, Notes and Duration. Sort to find the videos that hold attention and the ones that lose it.
Download the Engagement, Collaboration, Notes and Views trend graph as CSV, SVG or PNG from the graph toolbar, in course, video or user view.
Export a video's comments to a spreadsheet or a document, sorted by video time-tag, with author, date and sentiment, plus the course and video information.
CSV files are formatted and optimized for custom analysis in tools like Excel and encoded in UTF-8, so names and comments in any language survive the trip.
Analytics Export is a preference that can be enabled or disabled per site, course or video, and exporting the analytics is available to moderators only.
For recurring work, pull engagement data through the API into a warehouse or BI tool, or send xAPI statements to your learning record store.
The same three files serve very different readers. These are the patterns that come up most often.
Join engagement and completion with enrollment and outcome data to understand how video behavior relates to persistence. Research teams usually work from pseudonymized extracts, with the key held by institutional research rather than the analyst.
Course teams pull the Videos and Users tables at semester end as concrete evidence of participation, interaction and completion, and keep the files alongside the rest of the review package instead of reconstructing the story from memory.
Sort the Users export by Collaboration, Replies or Thumbs Up badges, apply the participation rules from the syllabus, and grade video work from one sheet instead of clicking through every video in the course.
Learning teams export completion and watch data per cohort into the reporting stack their managers already read, and move the pull to the API when the same report has to run every month.
A practical rollout for a data team starts small: export one course, load the three files by hand, and let an analyst explore the shape before committing to a schema. That first pass answers the questions that matter for pipeline work, which fields the institution actually needs, how learner and course identifiers map to LMS records, and what grain the reporting layer should keep. Once the model is settled, the recurring pull moves to the API on a schedule, and governance is agreed up front: who may run exports, which systems may hold the data, and how long it is retained.
No ticket to IT and no waiting. A moderator can go from course view to a zip of CSV files in under a minute.
From the Annoto dashboard in your LMS, open the course and set the date range on the Insights tab. Overview, Videos, Users Activity and Activity Trends are all in view, and every table sorts by any column.
Click the export control in the top bar and choose the CSV export. A zip with the overview, users and videos files downloads, UTF-8 encoded and ready for a spreadsheet or a warehouse load. Graphs export separately as CSV, SVG or PNG.
Grade from the Users table, review the Videos table, load the files into your BI tool, or move the recurring pull to the API and xAPI so the report refreshes itself.
The files carry the same definitions as the dashboard, so nothing is lost between the course view and the spreadsheet. A view is the first play of a video in a session. Total Completion is coverage across all of a learner's sessions. Average Completion Rate is how much of the video is watched per play.
Read the metrics together rather than one at a time. A learner with high Watch Time, a low Average Completion Rate and a high Total Completion has watched the whole video in many short sessions and repeated some segments, which usually signals effort, not avoidance. A video with many Users but a low Average Completion Rate is losing people on every play and deserves a second look at its length or pacing. Because the export keeps every column, those comparisons are one pivot table away, and the same reasoning applies whether the file is opened in a spreadsheet or loaded into a warehouse.
The Annoto dashboard opens inside Canvas, Moodle, Blackboard and Brightspace. Add it once per course and it covers every video and user in that course, with course, video and user views in one place and the export a click away for moderators.
Book a 20-minute demo and watch Analytics Export run on a real course inside your LMS, from the Insights tab to a CSV you can open, join and report on.