Quality Management API 400 Error During Zendesk CSV Rule Import

POST /api/v2/wfm/quality/rules returns HTTP 400 Bad Request with payload {"errors":[{"code":"VALIDATION_ERROR","message":"Invalid rule configuration for digital channel"}]}.

The migration project involves converting Zendesk satisfaction survey triggers and agent performance notes into Genesys Cloud Quality Management rules. The goal is to replicate the logic where Zendesk tickets with specific tags (e.g., escalated, vip) were automatically flagged for supervisor review. In Genesys Cloud, this maps to digital interaction scoring rules.

The environment details are:

  • Genesys Cloud Version: 2024-10-11.1
  • API Version: v2
  • Client SDK: Python requests 2.31.0
  • Timezone: Europe/Paris (UTC+1)

The JSON body sent in the request attempts to create a rule for Email interactions:

{
 "name": "VIP Customer Email Review",
 "description": "Auto-flag VIP emails for QA",
 "type": "DIGITAL",
 "channel": "EMAIL",
 "trigger": {
 "condition": "contains_tag",
 "value": "vip_customer"
 },
 "actions": [
 {
 "type": "ASSIGN_TO_QUEUE",
 "queueId": "qa_review_queue_id_123"
 }
 ]
}

Steps to reproduce the issue:

  1. Extract Zendesk ticket tags using the Zendesk Export API.
  2. Map vip_customer tag to a Genesys Cloud Custom Attribute for Email interactions.
  3. Construct the Quality Rule JSON using the mapped attribute as the trigger condition.
  4. Send a POST request to /api/v2/wfm/quality/rules with the JSON payload.
  5. Receive the 400 Validation Error.

The Zendesk workflow was straightforward: tag triggers review. Genesys Cloud seems to require a more complex scoring model for digital channels. The documentation mentions that digital rules must include a minimum score threshold, but no score is being calculated yet because the scoring criteria are not defined. Is there a mandatory scoring configuration required even for simple trigger-based rules? How does one properly map a simple Zendesk tag trigger to a Genesys Cloud Quality rule without defining a full scoring model? The error message is vague, and I need to understand the exact JSON structure required for a basic digital rule creation.

You should probably look at at the specific payload structure for digital channel rules. The generic VALIDATION_ERROR often masks a missing channel_type enumeration or an incorrect reference ID in the evaluation criteria. When migrating from Zendesk, the mapping of tags to Genesys attributes requires explicit definition in the rule body. Ensure the criteria array includes the correct attribute_id for the digital channel metadata, not just the raw tag string. A common oversight is omitting the logical_operator field when combining multiple conditions.

Here is a minimal valid structure for a digital channel rule:

{
 "name": "VIP Escalation Flag",
 "description": "Flags interactions with VIP tags",
 "channel_type": "DIGITAL",
 "criteria": [
 {
 "attribute_id": "interaction:tags",
 "operator": "CONTAINS",
 "value": "vip"
 }
 ]
}

Context: The QM API is strict about schema validation for digital channels compared to voice. The error usually points to a mismatch in how the rule engine interprets the attribute source. Verify that the attribute_id matches the exact schema definition in your tenant’s digital channel settings. This issue often arises when copying voice-centric rule templates without adjusting the attribute references.

To fix this easily, this is to verify that the channel_type is explicitly set to digital and that the attribute references point to valid Genesys Cloud system attributes rather than raw Zendesk tags. Digital channel rules are strictly validated against the schema, so any mismatch in the criteria object causes an immediate rejection.