XPChex
Customer Sentiment Tracker

Real‑time customer sentiment tracker using LLMs + FastAPI with a React dashboard.

Coming Soon

Customer Sentiment Tracker

Status: pilot

Delivered on: 2024-06-01

My Role: Product & Engineering

About.

Continuously ingests tickets, surveys, and social mentions; classifies sentiment, tags topics, and surfaces emerging issues in a live dashboard so teams can react fast.

Problem Statement.

Customer experience signals live in silos; teams spot issues late, when damage is already done.

Solution.

Streaming ingestion to FastAPI; queueing for stable throughputLLM classifiers for sentiment, intent, and topic clusteringPriority scoring and routing for "act now" itemsReact dashboard with trends, drill‑downs, and exports

Results.

  • Alert lead time improved from days to hours in pilot
  • NPS dip detected 48h sooner during pricing change test

Challenges.

  • Noise filtering for social streams
  • PII scrubbing and policy controls

Lessons Learned.

  • Human‑in‑the‑loop review improves precision on edge cases
  • Event‑driven architecture keeps costs predictable

Future Improvements.

  • Bring‑your‑own‑LLM to tune for cost/latency
  • Custom taxonomies per team
  • Slack/Teams push alerts

Other Projects.

Jambo, wes here