As a Product Manager, part of your role is managing incoming feature requests. These requests are a critical part of validating customer needs, since they come directly from GTM teams with context and intent (hopefully). Each request represents a customer voice that must be heard, evaluated, and either linked to your backlog or declined with clarity.
Traditionally, this meant working with massive spreadsheets and repeating the same conversations to check if a request already exists, whether it’s tied to a renewal or deal, and how to update the submitter. The result was noise, delays, and a lack of visibility for GTM.
With Bagel AI, requests are automatically tied to existing ideas in your backlog, reducing duplication and cutting down on manual triage. Each new request is captured in your Inbox and enriched with account business data (ARR, tier, industry), lifecycle stage (prospect, active, renewal), and deal context (commitment dates, potential deal-blockers). Bagel AI also makes it easy to collaborate directly with GTM owners to clarify the request.
With Bagel, you can:
Open the Inbox to see all feature requests, already routed to you as the relevant product owner. Bagel AI highlights possible links to existing ideas to reduce duplication.
Collaborate with GTM teams through Bagel AI chat which is connected directly to Slack or other GTM day-to-day tool such as Salesforce. Clarify context, confirm commitments, and gather missing details directly.
Communicate decisions automatically: Bagel notifies submitters when a request is planned, delivered or declined ensuring transparency automatically without extra work.
Link or promote requests: connect them to an existing Idea or create a new Idea and consolidate all other related evidence.
Bagel AI acts as the glue between Product and GTM teams.
Close the loop with a smoother, more transparent process: GTM teams see their input matters, PMs work from a clean, deduped pipeline, and the roadmap stays connected to real customer needs.
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