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Access People Analytics Premium - Explore traffic monitoring

All you need to know about exploring the traffic monitoring.

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Written by Joshua Shooter
Updated over 2 months ago

Traffic lighting is a monitoring system that uses the colours red, amber, and green to indicate the performance of a metric against set targets. You set targets by applying conditional formatting rules to the chart so that the metric appears:

  • Green - Indicates good performance: the metric is on or above target.

  • Amber - Indicates concerning performance: the metric is off target but in an acceptable range.

  • Red - Indicates bad performance: the metric is off target and in a range that requires attention.

Traffic lighting can be added to the following visual types:

  • Breakdown.

  • Trend - with no groupings.

  • Trend breakdown - with no groupings.

  • Table - with one metric.

Traffic lighting rules can be set by comparing a metric to one of the following.

Rule Type

Description

Explanation

Metric Value

The metric value for each visual item is compared to a target value.

Rule: If the metric value is less than 250, traffic light as Bad.

Example: The headcount for sales is compared to the target value of 250 in the selected period. If the headcount value for sales is less than 250, the visual item will be highlighted in red.

Change in Metric Value

The metric value for each visual item in the selected time period is compared to the metric value from a previous time period.

Rule: If the change from February 2020 is less than 5%, traffic light as Good.

Example: The current headcount for marketing is compared to the headcount for marketing in February 2020. If the percentage change from the previous time period is less than 5%, the visual item will be highlighted in green.

Difference from group

The metric value for each visual item is compared to the metric value of another population.

Rule: If the difference from Women is greater than 20%, traffic light as Bad.

Example: The headcount for marketing is compared to the headcount for women in Marketing. If the percentage change from the other population is greater than 20%, the visual item will be highlighted in red.

Difference from another metric

The metric value for each visual item is compared to another metric.

Rule: If the difference from Employee Exit Count is greater than 500%, traffic light as Bad.

Example: The headcount for finance is compared to the employee exit count for finance. If the percentage change from the other metric is greater than 500%, the visual item will be highlighted in red.

Difference from metric overall

The metric value for each visual item is compared to the overall value of another metric.

Rule: If the difference from Employee Exit Count is greater than 200%, traffic light as Concerning.

Example: The headcount for finance is compared to the employee exit count for the entire organisation. If the percentage change from the overall value of the other metric is greater than 200%, the visual item will be highlighted in amber.

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