Platform access level: Org Admins, Managers, and Distributors (anyone who delivers courses and needs to prove they worked), plus Analysts, whose access is the Analytics page itself.
You defined a business goal and a metric before you built the course. Measurement is where you find out whether that number moved. This guide gives you the mindset for reading Arist's data well, and points you to a step-by-step guide for each part.
1. Confirm delivery before you read results
Numbers mean nothing if the course never arrived. Start in the delivery tracker, where every learner has an enrollment status, from Active through states like Up next, Error, and Opted out to Completed. Anyone in the Error state never got their lessons, and bulk actions help those learners continue. Every status is defined in Understanding Enrollment Statuses.
2. Know whether a metric measures learners or content
Every metric on the Analytics page measures one of two things. Completion rate and engagement rate count learners. Answer accuracy and reply rate measure how the questions themselves performed.
Check which kind you are reading before you act on a number. A learner metric tells you who to follow up with. A content metric tells you what to rewrite.
Reviewing Analytics defines every metric on the page and covers the filters that narrow the data to the view you need.
Tip: When completion is high but engagement is low, learners are receiving every lesson but not answering the questions. Rework or rebalance the questions before changing anything else about the course.
3. Find where learners struggled
A course-wide average can look healthy while a single lesson is losing learners.
The Engagement tab breaks the course down lesson by lesson, so that dip becomes visible. When you find it, open the lesson's questions and read the exact replies learners gave. The replies tell you whether the concept needs deeper reinforcement or the question itself needs a rewrite for your next iteration.
The mechanics live in Reviewing Analytics.
4. Tell the two stories in the data
The same data tells one story to your learners and another to your leadership. Download the enrollment and response data, then filter until a story appears, like completion rates by region revealing one area falling behind. The richest insights usually live in the response data. Read what learners say, and notice how willing they are to answer.
For learners, the goal is motivation: Make progress visible in a way that celebrates the leaders and gives anyone trailing a clear reason to catch up. A scorecard that puts every team's progress in one place does this, and highlighting a standout reply in your team channel has the same effect.
For leadership, the goal is proof: Show the gap, then explain it. One approach: sort the AI-graded responses by accuracy to find the concept learners struggle with, then pair the numbers with quotes that explain the why in their own words. Package the story however your leaders prefer to read it, like a one-pager, a few slides for a quarterly review, or a short email.
The download mechanics live in Exporting Analytics Data.
5. Close with a recommendation
End the story with what comes next. The strongest upcoming courses are built on what your past course taught you. Name the impact you want to create, then apply what you learned. That recommendation turns a single training into an ongoing campaign.
Related articles
Reviewing Analytics
Exporting Analytics Data
Understanding Enrollment Statuses
Best Practices for Delivering Courses
Note: Need help at any point? Reach out to your Arist Customer Success contact, or email support@arist.co.