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The Adherence Heatmap visualizes adherence trends across evaluation forms, queues, agents, channels, languages, contact direction, and transfer-leg roles. Supervisors use the heatmap to identify quality gaps, monitor fatal interactions, compare performance, and support targeted coaching. The system selects evaluation forms based on the interaction context. Human Agent legs use the form configured for the handling queue, channel, and contact direction, while Automation AI legs use the applicable Automation AI Experience Flow. When you enable Transfer-Leg Level Evaluation, the system evaluates each eligible Human Agent leg as First, Intermediate, Final, or Sole. Each leg generates its own adherence result and uses its own metrics, failures, attribution, and evaluation form. The system doesn’t generate a whole-conversation adherence score for transferred contacts. Automation AI legs use their own evaluation and Experience Flow rules. By default, the heatmap includes only eligible evaluated interactions. The system excludes Below Threshold and Duration Unavailable interactions unless a reviewer manually evaluates them. Reviewers must manually audit flagged Automation AI interactions through the Manually Evaluated Flagged Interaction path before the system includes them. Role-based access controls what users can view. Users with Cross Queue Data Access can view data across queues, while other users can view data only from their assigned queues. The heatmap updates dynamically when users apply filters, including Handled By: AI Agent, Human Agent, or Both.

Key Capabilities

Access Adherence Heatmap

Navigate to Quality AI > AutoQA > Adherence Heatmap. Adherence Heatmap Landing Page Select one or more evaluation forms from the dropdown to view adherence metrics. The Queues filter populates dynamically based on the selected evaluation forms.
Turn on Auto QA in Settings > Quality AI General Settings to use this feature.

Adherence Analysis and Metric Behavior

Adherence Percentage Calculation

The system calculates adherence using eligible and applicable evaluation instances for the selected filters. When Transfer-Leg Level Evaluation is enabled, the evaluation instance for a transferred Human Agent contact is the individual transfer leg. Each eligible leg is evaluated independently and contributes a separate result. A contact may therefore contribute multiple evaluation results, and scores from multiple legs are not merged into a whole-conversation score.

Formula

Adherence (%)=Adhered evaluated interactionsApplicable evaluated interactions\text{Adherence (\%)} = \frac{\text{Adhered evaluated interactions}}{\text{Applicable evaluated interactions}} The denominator includes only eligible leg results for which the selected metric is applicable. The following results are excluded from the denominator:
  • Not Evaluated — No Form Configured
  • Not Evaluated — Below Minimum Duration
  • Not Evaluated — Failed Transfer
  • Not Applicable
  • Any other result explicitly excluded by the metric applicability rules
A Not Applicable result isn’t treated as a failure. A fatal result affects only the relevant leg and doesn’t create or modify a whole-conversation score. Results for other legs from the same contact remain independent.

Handling Flagged Interactions

By default, the system excludes interactions marked Below Threshold or Duration Unavailable from adherence metrics and dashboard aggregates unless you manually evaluate them. After manual evaluation, the system includes these interactions in heatmap calculations and treats them as standard evaluated interactions. An interaction may fall below the threshold for one scorecard but remain eligible for another depending on scorecard-specific duration rules. Duration checks don’t block ingestion, transcript storage, or Conversation Mining access. Flagged interactions remain available in Conversation Mining through the Duration Status filter (All, Evaluated Only, Below Threshold, and Duration Unavailable). The system also displays exclusion reasons and supports drill-through behavior in interaction details.

Interaction Eligibility Rules

Metric Applicability

Color Coding

Each heatmap tile is color-coded by adherence percentage. Red indicates 0% adherence, green indicates 100% adherence, and intermediate values display in 10% increments between red and green. The system displays gray when no eligible evaluated interactions match the selected filters.

Failed and Fatal Interactions

Hover Tooltip

Hover over a tile to view the adherence percentage, adhered interactions, and total applicable interactions for the selected metric and date. The tooltip excludes Below Threshold and Duration Unavailable (flagged) interactions unless they’re manually evaluated. No Interaction Tooltip

Filters

The Adherence Heatmap organizes filters into shared filters that apply to all conversations and conversation-type-specific filters for Human Agent and AI Agent conversations. Use these filters to refine adherence data by evaluation form, queue, channel, interaction direction, agent, and language.
Select an evaluation form before selecting a queue. The available language options depend on the selected evaluation form.

Heatmap Interactions

Adherence Heatmap Overview

The Adherence Heatmap displays adherence for evaluation metrics across the selected date range. The heatmap updates based on the selected filters, such as Evaluation Form, Queue, Channel, Interaction Direction, Agent, and Language. Each tile represents the adherence result for a specific evaluation metric during a selected date range. The heatmap uses color-coded tiles to represent adherence percentages for each evaluation metric and date range.
  • Green indicates higher adherence.
  • Yellow/Orange indicates moderate adherence.
  • Red indicates lower adherence.
  • Gray (N/A) indicates that no eligible interactions are available for the selected period.

Heatmap Tile Details

Hover over a heatmap tile to view the evaluation metric, date range, adherence percentage, and total number of interactions. Select a tile to open the Agent-Level Breakdown for the selected evaluation metric and date range.

Agent-Level Breakdown

The Agent-Level Breakdown displays each agent’s adherence percentage for the selected evaluation metric and date range. From this panel, you can:
  • View Interactions to open Conversation Mining with filters applied for the selected agent, evaluation metric, and date range.
  • Filter by Agent to display the selected agent’s adherence results in the heatmap.
Adherence Percentage Count

View Interactions

When you select View Interactions, the system opens Conversation Mining, and the system:
  • Opens the Processed interactions view.
  • Applies the selected evaluation metric as an Unsaved Filter.
  • Displays interactions that match the selected metric and applied filters.
The heatmap includes only interactions that meet the eligibility criteria for adherence calculations. It excludes interactions marked Below Threshold or Duration Unavailable until a reviewer manually evaluates them. Conversation Mining Failed Interactions

Interaction Display Behavior

Agents with no applicable interactions display at the bottom of the list. Not Applicable If an agent has no eligible interactions for the selected evaluation period, the system displays the adherence percentage as N/A and shows No Interactions in a gray heatmap tile. If an agent achieves 100% adherence, the system displays No Failed Interactions in the heatmap tile and disables the View Interactions option. No Interactions with Failed Interactions

Action Filters

Heatmap by Agent

Dashboard View

The QA Dashboard displays a simplified Adherence Heatmap widget for the last 7 days using the selected evaluation form and queue filters. The widget updates dynamically based on shared dashboard filters, including Evaluation Forms, Queues, Channels, Languages, and Contact Direction. The dashboard widget includes only evaluated interactions eligible for aggregation. Below Threshold and Duration Unavailable interactions remain excluded unless manually evaluated. These interactions remain available in Conversation Mining and Reports. For more details about dashboard widgets and filters, see Supervisor Dashboard.