Customer Voice and Feedback Intelligent Insight Analysis

Problem

Customer feedback often appears as scattered text, CSV rows, or bullet lists. Manual analysis can confuse polarity, requirement type, and P0–P3 priority, and can miss closure risks or ownership. This skill turns customer-voice analysis into a repeatable workflow: confirm sample size and input format, apply business rules for classification, and produce an insight report for customers, product operations, and leadership.

How it works

Key steps include:
- Classification: distinguish positive, neutral, and negative feedback, then map items to functional, experience, performance, security, compatibility, defects, and other categories.
- Risk and clustering: check rules such as slow response, negative P0/P1 items, overdue resolution, closure validation, and bulk recurrence, then extract top pain points and highlights.
- Routing recommendations: organize items using “no matching customer intent → need-side, matched but unmet → supply-side”; unresolved P0 items must be highlighted, and samples under 5 records should be treated as indicative only.

Limits

When the customer-intent interface is unavailable, value matching and routing are inferred from feedback content. Original text containing names or phone numbers should be masked before quoting. The capability/product section depends on available data and may be marked as unavailable.