Draft Documentation

This guide is currently in development. Content may be incomplete or subject to change.

~8 minutes

Reverse Analysis

Drill down into specific evaluation items to see top performers, identify improvement areas, and get AI-generated coaching recommendations.

Opening the Modal

The Reverse Analysis modal opens when you click on any score value in the evaluation pattern grids.

Steps:

  1. Navigate to the Dashboard tab in AI Auditing
  2. Scroll down to the Evaluation Pattern grids
  3. Click on any score value (numbers are clickable)
  4. The Reverse Analysis modal opens with detailed analysis

Modal Header Shows:

  • Evaluation item name
  • Campaign name
  • Date range
  • Overall average score for this item

Reverse Analysis modal header with item name and score

Screenshot coming soon

Metrics Bar

Below the header, a metrics bar displays key statistics for the selected evaluation item:

Evaluations Count

Total number of evaluations for this item

Total Executives

Number of unique agents with this item evaluated

Below Target

Count of executives scoring below 4.0

Standard Deviation

Score variability across executives

Score Range

Minimum to maximum score observed

Top Performers

The left section shows executives who are excelling at this evaluation item (scoring ≥ 4.0, the target score).

Information Shown:

  • Executive Name: The agent's identifier
  • Call Center: Which call center they belong to
  • Call Count: Number of calls evaluated for this item
  • Score: Their average score with visual progress bar

Best Performer Highlight: The executive with the highest score is highlighted at the top of the list. Their practices can be used as a benchmark for training others.

Top Performers section showing executives meeting target

Screenshot coming soon

Needs Improvement

The right section shows executives who are scoring below target on this evaluation item (scoring < 4.0).

Information Shown:

  • Executive Name: The agent needing coaching
  • Call Center: Their call center location
  • Call Count: Sample size for the score
  • Score: Current performance level
  • Gap: How far below target they are

Worst Performer Highlight: The executive with the lowest score is highlighted. This helps prioritize coaching efforts.

Sorting: Executives are sorted by score ascending, so those needing the most help appear first.

Recommended Actions

Below the performer lists, a Recommended Actions card provides AI-generated suggestions based on the data analysis.

Common Recommendations:

Performance Gap Analysis

Identifies the gap between top and bottom performers, quantifying the improvement opportunity.

Training Prioritization

Suggests which executives should be prioritized for coaching based on score and volume.

Best Practice Sharing

Recommends sharing techniques from top performers with those needing improvement.

Call Center Focus

Identifies which call center may need additional support if scores are consistently low.

Recording Review

Suggests reviewing specific recordings to understand performance patterns.

Recommended Actions card with coaching suggestions

Screenshot coming soon