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How to use the Category Performance report

Alex Richards avatar
Written by Alex Richards
Updated in the last 15 minutes

How to use the Category Performance report

The Category Performance report analyses how well teams and agents perform across different evaluation categories. Categories are tags applied to line items in your quality forms, allowing you to track performance trends for specific aspects of customer interactions.

Accessing the report

Required permissions

Feature flag

Technical name

Description

KPI Reports

feature_kpi_reports

Enables KPI reporting (included by default)

Required permissions:

  • Access to Reports > Category — to view category performance data

Note: Contact your evaluagent administrator if you don't have access to these features.

Navigation

  1. Navigate to Reporting in the main menu

  2. Select Category Performance

  3. The report opens with the hierarchical view by default

Report views

Hierarchical view

The default view shows performance data organised by your organisational hierarchy:

  • Organisation summary at the top level

  • Team/department breakdown

  • Individual agent performance (if you have agent-level permissions)

Custom view

If you have custom reporting groups configured, you can switch to the custom view using the dropdown selector to see performance for custom group structures.

Understanding the report interface

Report filters

The complete list of available filters:

  • Date range (by published date or contact date)

  • Reporting view: Choose between standard hierarchical view or custom reporting views (if you have custom reporting access)

  • Team/group selection: Filter by specific teams or groups based on your selected view

  • Evaluation modes

  • Scorecards (multiple selections allowed)

  • Contact channels

  • Contact types

  • Data capture questions (if enabled — only appears if you have configured non-freetext questions with answers)

  • Analytics topics (if enabled — only appears for contracts using the Legacy Analytics UI with active analytics topics configured)

  • Include N/A?

  • Include inactive agents?

Performance table

Each row in the table represents a category and displays:

  1. Category icon: Visual identifier for the category

  2. Category name: The name of the evaluation category

  3. Count: Number of times line items with this category were evaluated

  4. System scores: Distribution bar showing Pass/Fail/NA percentages

  5. Trend chart: Click the chart icon to view performance over time

System scores explained

The distribution bar shows three components:

  • Pass (green): Percentage of line items that passed

  • Fail (red): Percentage of line items that failed

  • NA (grey): Percentage marked as Not Applicable

Navigating the hierarchy

Drilling down

  • Click "View next level" to drill down into sub-teams or agents

  • Use the breadcrumb navigation to track your position in the hierarchy

  • The breadcrumb shows: Organisation Summary > Team > Sub-team > Agent

Understanding data at different levels

  • Organisation level: Shows aggregated performance across all teams

  • Team level: Displays performance for all agents in that team

  • Agent level: Shows individual agent performance by category

Interactive features

Score details modal

Click on any segment of the System Scores distribution bar to view detailed information:

Agent details tab:

  • List of agents with their individual counts for the selected outcome

  • Click an agent name to see specific evaluations

  • View contact references with direct links to evaluations

Root causes tab (if configured):

  • Breakdown of root causes for failed items

  • Percentage distribution of each root cause

  • Helps identify common failure patterns

Category trend chart

Click the trend icon to view performance over time:

  • Line graph showing Pass/Fail/NA percentages

  • Configurable date range

  • Hover for specific data points

  • Compare multiple categories on the same chart

Exporting data

Click the Download button to export the report:

  • Downloads as a CSV file

  • Includes all visible data based on current filters

  • Preserves the hierarchical structure

Interpreting results

Understanding performance patterns

  • High pass rates: Categories where teams excel

  • Low pass rates: Areas needing training or process improvement

  • High NA rates: May indicate categories that don't apply to all interaction types

Using data for improvement

  1. Identify focus areas — Sort by pass rate to find categories needing attention

  2. Track progress — Use trend charts to monitor improvement over time

  3. Compare teams — Navigate between teams to identify best practices

  4. Drill to details — Use the score details modal to understand specific failures

Best practices

Effective report usage

  1. Start broad, then focus — Begin at the organisation level for overall trends, drill down to identify specific problem areas, and use agent-level data for individual coaching

  2. Combine with other reports — Cross-reference with Line Item Performance for detailed analysis, use alongside Quality Performance for the full picture, and compare with KPI reports for business impact

  3. Set up regular reviews — Schedule weekly team reviews of category performance, focus on categories with declining trends, and celebrate improvements in previously weak areas

Common use cases

  • Training needs analysis: Identify categories where entire teams struggle

  • Individual coaching: Find specific categories where agents need support

  • Process improvement: Spot categories with consistently low scores across the organisation

  • Trend monitoring: Track the impact of training initiatives over time

Troubleshooting

No data displayed

  • Verify evaluations exist for the selected date range

  • Check that selected forms have categories assigned to line items

  • Ensure you have permission to view the selected teams/agents

Missing categories

  • Categories only appear if they have been evaluated

  • Check your form filter settings

  • Verify categories are properly configured in your quality forms

Performance considerations

  • Large date ranges may take longer to load

  • Use filters to focus on specific teams or forms

  • Export data for offline analysis of large datasets

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