Enterprise AI Administration
Customer Experience Segmentation Model
Model Details · Telecom AI Model Registry
Model Details
Customer Experience Segmentation Model
Algorithm: K-Means (benchmark: Agglomerative Hierarchical Clustering)APPROVED DESIGN
- Code
MDL-SEG-CX- Version
- v0.1
- Owner
- Customer Experience Analytics
- Governance owner
- AI Governance Board
Governance configuration shown for review and validation. Read-only.
Business purpose
Group customers by experience signals to target NPS interventions
Production-recommended design specification. This record does not mean the model has been trained, fitted, deployed or validated.
Technical specification
- Model family
- Clustering
- Algorithm
- K-Means (benchmark: Agglomerative Hierarchical Clustering)
- Implementation library
- KMeans; AgglomerativeClustering
- Model type
- Unsupervised Clustering
- Explainability method
- Cluster profile / centroid; hierarchy review
- Cluster selection method
- Elbow / Silhouette / hierarchy review
- Distance / membership method
- Euclidean / linkage-based as applicable
Implementation governance
- Governance status
- APPROVED DESIGN
- Implementation status
- MODEL DEVELOPMENT REQUIRED
- Validation status
- VALIDATION REQUIRED
- Lifecycle stage
- Design
- Current performance
- Not yet measured
- Refresh cadence
- Monthly
- Last reviewed
- —
- Next review due
- —
Business
- Mission area
- Customer Experience
- Decision journey
- Customer Experience
- Target variable
- —
- Output
- Experience segment per customer
Input features
Governed variables, in feature-rank order
- 1.Customer experience sentiment scoreSentiment of care interactions
- 2.Complaint count 30dComplaints in last 30 days
- 3.Dropped call rateShare of the subscriber's calls dropped
- 4.network_quality_scoreExperienced network quality for the subscriber's serving sites (0–100).
Related Intelligence
Linked governed records
KPIs (1)
Business rules (1)
Formulas (1)
Source mappings (3)
Simulation models (0)
None recorded.