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Understanding levels of detail and metrics in the Report builder
Understanding levels of detail and metrics in the Report builder

A brief look into what levels of detail and metrics are, and how they differ.

Jakob Larsson Stern avatar
Written by Jakob Larsson Stern
Updated over 3 months ago

Our Report builder allows you to customize reports that fit your needs precisely. To get the most out of your reports, it's important to understand the difference between two key concepts: Levels of detail and Metrics.

Levels of detail

Levels of detail are the various aspects or categories of your data. Think of them as the what of your data. These could be dates, locations, users, resources, services, etc. Levels of detail give you the context of your data, allowing you to break down your analysis into specific parts or to view your data from different angles.

Example use of levels of detail

If you're analyzing the number of visits for your business over time, levels of detail might include the location name and month. By selecting these levels of detail, you can view your visit data broken out by each location across multiple months.

Screenshot of new report

Metrics

Metrics are the quantitative measures of your data. They represent the how much or how many and are numerical values you want to track and analyze. Metrics could include total visits, average wait duration, number of new customers, or number of canceled visits. They quantify the performance or outcome of the levels of detail you are analyzing.

Example use of metrics

Continuing with the visits data example, if your levels of detail are the locations by month, your metrics could be the number of visits and the number of canceled visits. This tells you how many visits you had (the metric) for each location by month (the levels of detail).

Screenshot of report builder

How they differ

The main difference between levels of detail and metrics lies in what they represent and how they are used in analysis:

  • Levels of detail provide the context and categorization of your data. They help you segment your data into specific groups for more detailed analysis. This results in more rows of data in your report.

  • Metrics quantify your data. They are the numerical values that measure the performance or outcome of the levels of detail you're interested in.

By effectively using both levels of detail and metrics, you can create comprehensive reports that not only segment your data into meaningful categories but also provide quantitative measures of those categories' performance.


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