Churn propensity model accuracy below approved target
Model monitoring reported accuracy below the approved target for two consecutive evaluation windows, affecting predictive outputs used in CX prioritisation.
INC-1039HighPending ResolutionPRODOwner: AI Analyst 03
Not ApplicableTarget: To Be Confirmed
Impact
Medium
Urgency
High
Priority
High
Created
17 Aug 2026, 10:02
SLA Target
To Be Confirmed
Configured according to approved SLA once formally defined.
Time Remaining
Target: To Be Confirmed
- Created
- Assigned
- Investigating
- Resolution Applied
- Verification
- Resolved
- Closed
Incident overview
- Description
- Model monitoring reported accuracy below the approved target for two consecutive evaluation windows, affecting predictive outputs used in CX prioritisation.
- Category
- AI Model
- Affected area
- Predictive customer analytics
- Environment
- PROD
- Impact
- Medium
- Urgency
- High
- Priority
- High
- Assigned team
- AI Operations Team
- Owner
- AI Analyst 03
- Source
- Monitoring
- Last update
- 17 Aug 2026, 12:10
- Priority override
- None — derived from Impact + Urgency
Customer / business impact
- Affected capability
- Predictive customer analytics
- Potential effect
- Churn prioritisation lists may be less reliable until the model is validated.
- Affected users / scope
- CX prioritisation users (prototype scope)
- Business impact
- Retention actions may be targeted less precisely during the affected period.
Priority assessment
Impact × Urgency matrix (prototype logic).
| Impact ↓ / Urgency → | High | Medium | Low |
|---|---|---|---|
| High | |||
| Medium | |||
| Low |
Prototype operational logic. Priority is derived from Impact + Urgency and is not presented as a contractually approved mapping.
Prototype operational data. Values, references and identities are simulated and do not represent live NWC operations.