Feature Focus: Getting started with Analyze

Whether you’re using an LMS (Learning Management System) or not, Analyze provides data visualisation to show the trends of your learners and how they interact with your courses as well as more specific information like how they answered questions and when they completed a course. 

Whilst ‘Passing’ and ‘Failing’ are key learning metrics in traditional elearning, Elucidat’s analytics features allow you to utilise data in new ways, allowing you to create a more sophisticated experience.

For example, you may wonder: is there a split between how leaders and other learners answer a crucial poll about company values? Do you need to do more to engage learners on a certain topic of elearning? Analyze will help you to form conclusions with confidence.

To start using Analyze

1. Create a course with at least one page containing a Knowledge Check, Assessment or Survey question. For more information about the different types of question, see Feature Focus: Question Types.

2. Release your course. 

3. Distribute your course to your learners.

4. As soon as your learners start attempting your course, we will begin to collect data.

You can access Analyze by opening your Project in Elucidat, and then selecting Analyze:

There are several different components to the Analytics feature interface: Trends, How your questions were answered, Page progress and Your Data.

Trends

Trends allows you to see general indicators about how your whole course is performing:

Here’s how we measure each of these metrics:

Activity By Day: A breakdown showing the total number of learners who have accessed the course, completed the course, passed the course, and failed the course. A high failure rate may indicate that the course is too hard.

Completion Rate: A simple breakdown of whether your content is being successfully completed, a low completion rate may indicate that learners are losing interest.

Total Learners: Shows an estimate of how many unique learners have accessed the course overall. There is also a useful percentage indication of how that has changed that month. The percentage is calculated by taking: Unique learners in the last 30 days / Total unique learners in the Project ever.

Authoring: This shows how much time has been spent authoring that specific project. This is an estimate which takes into account the average amount of time spent on all pages by all users, and the number of Saves made in that time. This is useful when reviewing your previous projects, and when planning future projects.

How your questions were answered

How your questions were answered allows you to see how specific pages are being answered in the Project you are viewing. This is an estimated overview for all learner sessions:

Graph styles are randomly generated each time you access this page, meaning that you get a fresh perspective on your course each time.

You can use the graphs to assess whether there are any common trends in how your questions are being answered. 

For example, for a graph that shows many answers for Answer 1 and Answer 3 but little or no answers for Answer 2, this may indicate Answer 2 is not as credible as an answer. It may be that your learners are ignoring it altogether.

Or if you have a graph which shows significantly more answers for an incorrect answer than the correct or partially correct answers, you may consider making the page easier, as many learners are getting the answers incorrect.

Page progress

Page progress allows you to see how learners have progressed through your course on a per page basis. You’ll be shown an approximate count of views for each page, represented with both a number value and a bar:

This can be helpful to understand whether your learner engagement is consistent or focused in a certain area.

For example, you may see that there’s a big drop-off in learners in-between consecutive pages. While a steady decrease in views is generally expected, a larger drop could indicate that learners are becoming disinterested or stuck.

This is also useful for understanding which areas your learners might be more interested in when taking nonlinear courses. For example, you may have a Project with a Menu page which links to three different modules that the learner can choose to visit in any order they like. More views for Modules 1 and 2 may indicate that there isn’t as much interest in the content available in Module 3.

Your Data

The Your Data page allows you to see detailed information about the learners who have attempted your courses.

You can view the Your Data dashboard directly in Analyze, which shows: 

• the learner name and email, if collected
• Their Completed and Passed status
• The date of their Completion
• The answers they submitted to any questions in the course. These can be expanded or collapsed using the magnifying glass icon

If you wish to identify a learner by email and name you will need to either use the SCORM for LMS release type which will pull this information from your LMS or the Online Link with the Identify feature enabled.

You can also use the Request your Data button to be sent an email containing a comma separated value (CSV) file, from which you can download and open the file in a spreadsheet:

You can read more about this in Downloading your learners' data.

The CSV contains a more detailed breakdown of information than the dashboard. For more information about how to interpret the data shown in the Your Data CSV file, see Analysing results from Your Data.

You can also choose to anonymise all data collected from releases made from a Project by selecting the Gear icon in Your Data:

When enabled, this will cause all existing identifiable learner data collected from releases made from a Project to show as *****. Any new learners will also appear like this.