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Managing feedback at scale

Executive summary
As customer feedback piles up, your backlog can quickly fill with requests from sales calls, support tickets, internal Slack messages, and CRM notes. It becomes hard to track what each customer asked for – or whether anyone followed up when something new shipped. Customers may feel abandoned when their feedback disappears, product bets miss the mark, and teams start questioning what you prioritized and why.
Managing feedback at scale is a systems problem, not a people problem.
This ebook shows how to build a clean, connected feedback system – from collecting feedback and using AI to analyze it, to carrying customer context into product delivery so developers stay connected to customer problems, and closing the loop with customers to build trust at every release.
Key takeaways
Four warning signs that your feedback system is breaking as you scale
How a two-level product taxonomy gives every insight a clear owner
Where AI can remove manual work without taking product judgment away from your team
How you can give customers an incentive to keep submitting qualitative feedback