KPI Trend Lines in Supportbench

Supportbench makes KPI reporting more actionable by allowing users to click directly on a KPI metric and view its trend line over time.

Instead of stopping at a single number, users can now move from a high-level performance snapshot into a visual trend view that shows how that metric is changing. This makes it easier to understand direction, identify patterns, and spot performance shifts before they become larger issues.

From static metric to trend insight

A KPI on its own tells you where performance stands at a moment in time. A trend line shows what is happening behind that number.

With this functionality, users can click a KPI metric from the scorecard or performance view and immediately drill into a trend line for that metric. This gives teams a much clearer picture of whether performance is improving, declining, or holding steady across the selected time period.

For example, instead of only seeing an average case resolution time, users can also see how resolution time has trended over time and whether recent performance is moving in the right direction.

Why this matters

Performance metrics are far more useful when you can see their trajectory.

A single KPI value can raise questions such as:

• Is this getting better or worse?
• Was this number caused by a recent spike?
• Has performance been stable for weeks, or did it change suddenly?
• Is the current result part of a longer trend?

Trend lines help answer those questions immediately.

This allows leaders, managers, and agents to move beyond snapshot reporting and make decisions based on performance patterns, not just isolated numbers.

Works even with multiple agents

This functionality also works when viewing data across multiple agents.
 

That means users are not limited to analyzing one person at a time. They can review KPI trends across a broader group and understand how a metric is behaving at the team or multi-agent level.
 

This is especially useful for organizations that want to:

• Compare performance across time periods
• Monitor shared team performance
• Identify broad operational changes
• Review workload or efficiency trends across multiple contributors

Instead of manually exporting data or piecing trends together elsewhere, the insight is available directly from the KPI itself.

Better visibility into performance

Click-to-trend functionality makes scorecards and KPI views much more useful for day-to-day analysis.

Users can quickly investigate important metrics such as:

• Average case resolution time
• Closure rates
• Case volume metrics
• Activity metrics
• Efficiency metrics
• Other key operational KPIs

This improves visibility by letting users move from summary reporting into a more analytical view without leaving the reporting experience.

Practical use cases

This feature is valuable anywhere performance needs to be monitored over time.

Team management

Managers can click into KPI metrics to understand whether team performance is improving, slipping, or fluctuating.

Operational review

Leaders can use trend lines to evaluate whether service levels, response patterns, or case efficiency are moving in the right direction.

Multi-agent analysis

Teams can review aggregate KPI behavior across multiple agents instead of relying only on individual views.

Performance investigations

When a KPI looks unusually high or low, users can click into it and determine whether the issue is isolated or part of a longer-term pattern.

Key benefits

Faster insight
Users can move directly from a KPI to its trend without extra reporting steps.

Better decision-making
Trend lines provide context that static KPI values cannot.

Stronger multi-agent visibility
Performance can be analyzed even when multiple agents are included in the view.

More meaningful reporting
Scorecards become more than summary dashboards by supporting deeper metric exploration.

Summary

Supportbench now allows users to click on a KPI metric and instantly view its trend line over time.

This makes KPI reporting more useful, more interactive, and more analytical. Rather than relying on a single value, users can understand how that metric is trending and use that context to make better operational decisions.

Even when multiple agents are included, the trend view still provides meaningful insight, making it easier to monitor performance across individuals, teams, and time periods.