Completions

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Summary

The Completions page provides leaders with an overview of all content completions made by users within their audience(s).

This includes both historical completions imported and those completed within the selected time range on the .learn.link platform.

It shows total completions, completion patterns, popular content items, and both the day and time users are most likely to complete learning. These insights help leaders understand learning behaviours, identify high-performing teams, and support development time planning.

Visuals have a maximum lag of 6 hours, typically significantly less.


Filters

Use the filters at the top of the page to refine the dataset:

  • Structure Name / Audience Name / Position Title / Manager Name — isolate completions for specific teams, roles, or reporting managers

  • Thrive Status (active, new) — suspended users are excluded by default

  • Thrive Role (learner, learneradmin) — platform super administrators are excluded

  • Content Title / Content Type / Content Tag — drill into specific content items or content categories

  • Completion Date — this page is pre-filtered to the last 30 complete days for performance, but can be extended

  • Additional Field Key (Custom Field) — select segmentation fields such as Region, Department, or Brand

    • Additional Field Value — refine by specific values (e.g., Region → North East)

  • Group By Content Title — change the perspective of visuals to segment by different organisational groupings (e.g., Manager Name)

These filters help you analyse who is engaging with learning and how recently they have completed content.


Visuals


What You Need to Know

This panel outlines key behaviours of the completions dataset:

  • This report covers all recorded completions within your selected audience(s)

  • To filter by custom fields, first select the Custom Field, then choose a Custom Field Value

  • The completion dataset includes historical and imported completions

  • Export frequency should be limited for performance


Top Tips

Helpful suggestions to maximise use of this page:

  • Use the Group By parameter to change the viewpoint of bar charts — for example, grouping by Manager Name gives visibility into which managers’ teams have the highest number of completions

  • Use the “What day/time is the most popular for completing content?” visuals to understand when users are most engaged and whether development time could be scheduled around these preferences


Total Completions

Shows the total number of content completions recorded within your completion date filter period (last 30 days by default).


Average completions per user

Displays the average number of completions per user over the completion date period.


Total completions by Content Title

A bar chart showing the content items with the highest number of completions.

How to use this visual:

  • Identify which learning assets are most popular

  • Understand what content is frequently revisited or used as reference material

  • Switch Group By to view content completion patterns across managers, roles, or custom fields


Total completions by month

A line graph showing total monthly completions over the last 180 days

How to use this visual:

  • Track whether completions are increasing or decreasing

  • Identify seasonal, onboarding, or campaign-driven spikes

  • Compare engagement trends month-by-month


What day is the most popular for completing content?

A chart breaking down completions by day of the week.

How to use this visual:

  • Identify when your audience naturally completes content

  • Encourage team development time on days with higher completion rates

  • Understand whether behaviour aligns with company learning expectations


What time is the most popular for completing content?

A heatmap showing completions by day of week and hour grouping.

How to use this visual:

  • Understand peak times for learning

  • Identify times of day with particularly high or low completion activity

  • Use this to inform push notifications, campaigns, or structured development time