π What Is a Metric?
Turn raw data into meaningful insights with calculated metrics in Advanced Analytics
π§ Overview
A metric is a calculated expression of numerical data β typically built from facts, attributes or even other metrics.
In Advanced Analytics, metrics define what youβre measuring. Youβll use them to calculate values like:
Total number of completed tasks
Average response value for 1-to-1s
Metrics are the foundation of all visualisations and dashboards β they drive the numbers you see.
βοΈ How Metrics Work
Metrics are written using MAQL (Multi-Dimension Analytical Query Language), the language used within the Advanced Analytics tool (similar to SQL).
With MAQL, you can:
Calculate totals, averages, percentages, ratios and more
Apply filters and conditional logic (e.g. only include active users or completed tasks)
π§© Examples
Use Case | Example Metric | Description |
|---|---|---|
Track active user count in your platform | Count of Active users
| Returns the number of users who have not been deactivated. Ideal for tracking your active user base over time or across segments. |
Monitor overall task completion rate | Percentage of completed tasks
| Calculates the proportion of tasks that have been completed out of the total. Useful for assessing content engagement or workflow completion rates. |
Measure completion rates for issued 1-to-1 meetings | Completion rate for 1-to-1s
| Measures how many 1-to-1s have been marked as completed out of all issued. Helps evaluate follow-through on manager check-ins or coaching sessions. |
Compare average skill ratings across teams or managers | Average skill rating by manager
| Calculates the average value of manager-assigned skill ratings. Useful for comparing performance feedback across teams, managers, or skills. |
ποΈ Centrally Created Metrics (Use or Customise)
Learn Amp provides a collection of centrally created metrics β built by our team to help you get started quickly.
These metrics:
Are available by default in your Advanced Analytics environment
Cover high-value use cases (e.g. completions, count of users, 1-to-1s, Objectives etc)
Can be used as-is or copied and adapted to your needs
You can:
Use them directly in dashboards and reports
Copy and customise them to create tailored versions, including specific conditional formatting (e.g. decimal places, percentage display, currency)
β οΈ Important:
Any changes you make directly to a centrally created metric will be overwritten by our daily refresh mechanism.
To customise, always create a copy of the metric first β then make your edits to the copy.Use the description field to add descriptive notes on what the metric is about and what should it be used for.
π οΈ Creating Your Own Metrics
When you need something unique, you can build your own metrics using MAQL.
π Learn more: MAQL Basics
If in doubt or stuck, reach out to us, describe what you are trying to achieve in your report in as much details as possible, and weβll be able to help.
π Last Reviewed: 11 Nov 2025