📣 Marketing, CRM & Support · Data Flow
Customer Feedback Analytics
How feedback from surveys, reviews, tickets and calls is collected, analysed for sentiment and topics, and turned into a weekly report for product teams.
Drawing diagram…
What this diagram shows
- Feedback from every channel is analysed together
- An AI model tags sentiment and topics
- Urgent negative feedback alerts the owner the same day
Prompt used
Feedback analytics data flow: NPS surveys, app store reviews, support tickets and call transcripts are collected into a feedback store. A language model tags each item with sentiment and topics. Aggregated topics per week feed a dashboard for product teams. Very negative feedback from paying customers triggers an alert to the account manager.
Mermaid code
flowchart LR NPS[NPS Surveys] -->|Scores and comments| COL[Feedback Collector] REV[App Store Reviews] -->|Reviews| COL TK[Support Tickets] -->|Ticket text| COL CALL[Call Transcripts] -->|Transcripts| COL COL -->|Raw feedback| FB[(Feedback Store)] FB -->|Text| AI[Sentiment and Topic Model] AI -->|Tags| FB FB -->|Weekly topics| DASH[Product Dashboard] AI -->|Very negative, paying customer| AL[Alert to Account Manager]
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