AI Workflow: AI Feedback Intelligence

AI Feedback Intelligence aggregates and analyzes customer feedback from every channel to surface actionable insights that drive product and service improvements. The workflow collects feedback from NPS surveys, support tickets, app store reviews, social media mentions, sales call notes, and user interviews. AI categorizes each piece of feedback by theme (pricing, UX, performance, features, support quality), sentiment (positive, neutral, negative), and urgency. It identifies trending themes — like a sudden increase in complaints about a specific feature — and generates prioritized improvement recommendations with supporting evidence. Weekly reports show sentiment trends by category, helping product teams make data-driven roadmap decisions. For companies drowning in scattered feedback across multiple channels, this workflow creates a single source of truth for the voice of the customer. ShipSquad implements this by connecting feedback sources to a central AI analysis pipeline, using ChatGPT for theme extraction and sentiment classification, and generating automated insights reports that feed directly into your product planning process.