Designing Dispute Resolution Workflows for Agent Evaluation Appeal and Review Processes

How-To-Articles
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Designing Dispute Resolution Workflows for Agent Evaluation Appeal and Review Processes

What This Guide Covers

This guide details the architectural implementation of a closed-loop dispute resolution workflow within Genesys Cloud CX. You will configure a multi-stage process that allows agents to appeal Quality Management (QM) scores, routes those appeals to designated reviewers for blind re-evaluation, and programmatically updates the original score upon approval. The end result is a fully automated system that maintains audit integrity, prevents score manipulation, and provides transparent feedback to agents without manual database intervention.

Prerequisites, Roles & Licensing

  • Licensing Tier: CX 2 or higher (required for advanced QM features and custom attributes). The WEM (Workforce Engagement Management) add-on is recommended for advanced dashboarding but not strictly required for the workflow logic itself.
  • Permissions:
    • Quality > Evaluation > Edit (for form and template configuration)
    • Quality > Dispute > Edit (for dispute settings)
    • Architect > Flow > Edit (for building the resolution flow)
    • Administration > User > Edit (for assigning reviewer roles)
  • API Scopes:
    • quality:evaluation:write (to update evaluation scores programmatically if using API triggers)
    • quality:dispute:read and quality:dispute:write
    • user:read (to identify reviewers)
  • External Dependencies: None. This is a native Genesys Cloud CX internal workflow. However, integration with HRIS systems for final performance tracking may require middleware.

The Implementation Deep-Dive

1. Configuring the Evaluation Form for Dispute Eligibility

The foundation of any dispute workflow is the evaluation form itself. You must explicitly define which sections of an evaluation are eligible for dispute. If you do not configure this at the form level, the system will not generate dispute opportunities, rendering any downstream workflow inert.

Navigate to Admin > Quality > Evaluations > Forms. Open the target evaluation form. In the Sections tab, select a specific section (e.g., “Compliance Check”). Check the box labeled Allow disputes for this section. Repeat this for all sections where agent appeals are permissible.

The Trap: Enabling disputes for the entire form versus specific sections.
If you enable disputes at the form level only, agents can dispute the aggregate score, but the system lacks the granularity to determine which criteria were challenged. This forces reviewers to re-watch the entire interaction, increasing operational cost. By enabling disputes at the section level, you allow agents to pinpoint specific criteria (e.g., “I did offer the opt-out”) that were scored incorrectly. This directs the reviewer’s attention to the exact segment of the call recording, significantly reducing review time.

Architectural Reasoning:
Granularity is critical for performance. A dispute workflow that requires a full re-listen of a 15-minute call is unsustainable at scale. By isolating disputes to specific sections, you reduce the cognitive load on the reviewer and the data volume required for the review context. Ensure that the Scoring Model associated with the form supports weighted scoring, as disputes often involve recalculating the final score based on corrected section scores.

2. Defining the Dispute Settings and Routing Rules

Once the form allows disputes, you must define the rules that govern the dispute lifecycle. Navigate to Admin > Quality > Evaluations > Settings. Under the Disputes tab, configure the following:

  1. Dispute Window: Set a reasonable timeframe (e.g., 7 days) for agents to submit disputes. This prevents stale data from being contested indefinitely.
  2. Max Disputes: Limit the number of disputes an agent can file per week to prevent abuse.
  3. Reviewer Assignment: This is the most critical configuration. You have two options:
    • Manual Assignment: A supervisor manually selects a reviewer.
    • Automatic Assignment: The system assigns a reviewer based on predefined rules.

For this guide, we will implement Automatic Assignment using a dedicated Queue. This ensures fairness and scalability.

Create a new Queue in Admin > Routing > Queues named QM Dispute Review. Add your designated QM reviewers to this queue. Return to the Dispute Settings and select Assign to Queue. Choose QM Dispute Review.

The Trap: Assigning disputes back to the original evaluator.
The most common misconfiguration is allowing the original scorer to review the dispute. This creates a conflict of interest and undermines the integrity of the QM program. The system does not prevent this by default if you use manual assignment. By using a dedicated queue populated with other reviewers, you enforce a blind review process. Ensure that the original evaluator is explicitly excluded from the QM Dispute Review queue membership.

Architectural Reasoning:
Using a Queue for dispute routing leverages Genesys Cloud’s robust routing engine. This allows you to apply skills-based routing (e.g., “Senior QM Reviewer” skill for high-value accounts) or language-based routing (e.g., Spanish-speaking reviewers for Spanish interactions). It also enables you to monitor dispute resolution SLAs using standard queue analytics, providing visibility into backlogs and reviewer efficiency.

3. Building the Automated Resolution Flow with Architect

While the native Dispute UI handles basic approvals, it lacks the ability to trigger downstream actions (e.g., notifying the agent, updating external HR systems, or adjusting training plans). To achieve a true closed-loop workflow, you must use Architect to listen for dispute events and automate the resolution steps.

Step 3.1: Triggering on Dispute Submission

Create a new Flow in Architect. Use the Event Trigger node. Select Quality as the source and Dispute Submitted as the event.

This trigger provides a JSON payload containing the evaluationId, agentId, disputeId, and score details.

Step 3.2: Enriching the Dispute Context

Use a Set Data node to parse the incoming payload. Extract the evaluationId and store it in a flow variable evalId.

Next, use an API Request node to fetch the full evaluation details. This is necessary because the trigger payload is limited.

API Configuration:

  • Method: GET
  • Endpoint: /api/v2/quality/evaluations/{evalId}
  • Headers: Authorization: Bearer ${token}
  • Body: Empty

Parse the response to extract the recordingUrl and interactionId. Store these in variables recordingUrl and interactionId.

The Trap: Ignoring Data Privacy in API Calls.
If your organization handles PII (Personally Identifiable Information), ensure that the API request does not log sensitive customer data in the flow logs. Use Flow Logging settings to mask specific fields. Additionally, ensure that the reviewer accessing the recording via the dispute interface has the appropriate Data Retention policies applied.

Step 3.3: Notifying the Agent of Submission

Use a Send Message node to notify the agent that their dispute has been received. This can be an internal Genesys message or an email via the Send Email node.

Email Template Example:

Subject: Dispute Received for Evaluation ${evalId}

Body:
Dear ${agentName},

Your dispute for the evaluation conducted on ${date} has been received.
A reviewer will assess your claim within 48 hours.
Please check your Quality Dashboard for updates.

This step is crucial for change management. Agents need immediate confirmation that their action was registered.

Step 3.4: Automating the Reviewer Assignment (Optional Enhancement)

While the Queue handles basic assignment, you can use Architect to dynamically adjust the priority of the dispute based on the severity of the score deduction.

Use a Decision node to check the score from the original evaluation.

  • If score < 80: Set Queue Priority to High.
  • If score >= 80: Set Queue Priority to Normal.

Use an API Request to update the dispute priority.

API Configuration:

  • Method: PUT
  • Endpoint: /api/v2/quality/disputes/{disputeId}
  • Body:
    {
  "priority": "HIGH"
}

Architectural Reasoning:
Prioritization ensures that critical quality failures (which may indicate compliance risks) are reviewed immediately. This aligns the dispute workflow with organizational risk management strategies.

4. Implementing the Blind Re-Evaluation Logic

The core of the dispute resolution is the re-evaluation. In Genesys Cloud, when a reviewer approves a dispute, they are essentially re-scoring the specific disputed section.

Configure the Review Form in Architect if you want to force a structured re-evaluation. However, the native Dispute UI already provides a side-by-side view of the original score and the disputed score.

For advanced workflows, you can use the Quality API to create a new evaluation that serves as the “appeal record.” This is useful if you want to keep the original evaluation immutable for audit purposes.

Creating an Appeal Evaluation via API

If you choose the immutable audit trail approach:

  1. Use an API Request node in Architect.
  2. Method: POST
  3. Endpoint: /api/v2/quality/evaluations
  4. Body:
    {
  "formId": "${formId}",
  "subjectId": "${agentId}",
  "subjectType": "AGENT",
  "interactionId": "${interactionId}",
  "score": 100, 
  "notes": "Appeal Evaluation for Dispute ${disputeId}",
  "status": "SUBMITTED"
}

This creates a separate evaluation record that is linked to the original interaction. The reviewer completes this new evaluation. The final score can then be calculated by averaging the original and appeal scores, or by overriding the original score based on the appeal outcome.

The Trap: Overriding Scores Without Audit Trails.
Never directly overwrite the original evaluation score using the API without creating a secondary record. This destroys the audit trail. Compliance auditors require proof of the original assessment and the subsequent review. Always maintain both records and use a custom attribute or a calculated field in Analytics to display the “Final Adjusted Score.”

5. Closing the Loop: Notification and Analytics

Once the reviewer submits their decision (via the native Dispute UI or the API), you must close the loop.

Step 5.1: Listening for Dispute Resolution

Create a second Flow in Architect triggered by Quality > Dispute Resolved.

Parse the resolution field from the payload. It will be either APPROVED or DENIED.

Step 5.2: Conditional Notifications

Use a Decision node to branch based on the resolution.

Branch: APPROVED

  1. Update Agent Score: Use an API Request to update the agent’s performance profile or send a webhook to your HRIS.
  2. Notify Agent: Send an email confirming the score adjustment.
    Subject: Dispute Approved for Evaluation ${evalId}
Body: Your dispute has been approved. Your score has been adjusted from ${originalScore} to ${newScore}.
  3. Update Training Plan: If the dispute was due to a lack of clarity in the process, use the Workforce Management API to remove any associated coaching tasks.

Branch: DENIED

  1. Notify Agent: Send an email explaining the denial.
    Subject: Dispute Denied for Evaluation ${evalId}
Body: Your dispute has been denied. The reviewer upheld the original score. Please refer to your coach for further feedback.
  2. Trigger Coaching: Use the WFM API to create a coaching task for the agent’s manager.

The Trap: Silent Denials.
If a dispute is denied, the agent must receive explicit feedback. A silent denial leads to disengagement and repeated disputes. The notification must include the reviewer’s rationale (if provided in the dispute notes).

Step 5.3: Analytics Integration

Create a Custom Report in Analytics.

  • Object: Quality Disputes
  • Metrics: Count of Disputes, Approval Rate, Average Resolution Time
  • Filters: Reviewer, Agent, Queue

This report provides visibility into the health of the QM program. A high dispute approval rate may indicate evaluator bias or unclear evaluation criteria. A high dispute volume may indicate agent dissatisfaction or unclear processes.

Architectural Reasoning:
Data-driven refinement is the ultimate goal of the dispute workflow. By analyzing dispute trends, you can identify systemic issues in training or evaluation forms. For example, if 40% of disputes are related to “Hold Time,” you may need to clarify the hold time policy in the evaluation form or provide additional training to agents.

Validation, Edge Cases & Troubleshooting

Edge Case 1: The “Zombie” Dispute

Failure Condition: An agent submits a dispute, but the flow fails to process it due to a transient API error. The dispute remains in “Submitted” status indefinitely.
Root Cause: The Architect flow encountered a timeout or a 500 error from the Quality API.
Solution: Implement a Retry strategy in the Architect flow. Use the Retry node with exponential backoff. Additionally, create a scheduled flow that runs nightly to check for disputes in “Submitted” status older than 24 hours and re-process them.

Edge Case 2: The Recursive Dispute

Failure Condition: An agent disputes a dispute resolution.
Root Cause: The system does not natively prevent agents from disputing a resolution.
Solution: In the Dispute Settings, configure the Max Disputes per evaluation to 1. This ensures that once a dispute is resolved, no further disputes can be filed for that specific evaluation. Alternatively, use Architect to check if a dispute already exists for the evaluationId before allowing a new one to be created via API.

Edge Case 3: The Missing Recording

Failure Condition: The reviewer attempts to review the dispute, but the recording is unavailable (e.g., deleted by retention policy).
Root Cause: The interaction recording was deleted before the dispute was resolved.
Solution: Configure Data Retention policies to extend the retention period for interactions that have open disputes. Use Architect to listen for Dispute Submitted events and update the interaction’s retention tag to “Hold for Legal/Compliance.” This prevents automatic deletion until the dispute is resolved.

Official References