- Specific: Reduce repeat complaints and boost customer satisfaction.
- Measurable: Cut complaint volume by 50% in 6 months; reach 90% resolution rate by Q3, 95% by Q4.
- Achievable: Identify top 3 root causes of recurring issues.
- Relevant: Complaints drive churn and hurt brand reputation.
- Time-bound: Deliver insights in 2 weeks to inform Q3–Q4 strategy.
- Executive Summary
- Dataset Overview & Cleaning
- NLP with BERTopic: Identifying Core Complaint Themes
- Complaint Volume Trends (Monthly)
- Source Channel Analysis
- Geographic Breakdown (State & City)
- Complaint Status Performance
- Topic Label Breakdown
- “Filed on Behalf” Behavior
- Pareto Analysis
- WordCloud
- Conclusion & Recommendations
- 📈 +220% complaint surge in June, mainly around data caps and internet services
- 🔥 Top keywords: "Disney", "internet", "services"
- ✅ Resolution rate: 76.75%, but 520 cases remain unresolved
- 🌎 Top complaint states: Georgia, Florida, California
- 🏙️ Highest city-level complaints: Atlanta (with high unresolved rate)
- ✅ Chicago shows strong complaint resolution—potential benchmark city
- ⏱️ SLA: 53.32% unresolved cases are <7 days old; 46.7% are older
- 🎯 Pareto Insight: Focus on data cap and internet service issues for maximum impact