As a Product Manager, part of your job is to ensure there’s a real customer need behind every potential initiative and to plan the upcoming quarter around the work that will drive the most impact.
Traditionally, this has meant juggling feedback scattered across Slack threads, call recordings, meeting notes, and spreadsheets much of it fragmented or hidden from view.
With Bagel AI, you no longer have to chase down context or rely on secondhand summaries. Bagel AI consolidates everything into a single Feedback Hub, where every request, ticket, call note, and usage signal is automatically linked to the right product ideas.
Feedback is automatically merged, you can instantly see how many customers are affected, their business data such as ARR, and whether the demand is growing or shrinking. This lets you validate hypotheses with evidence, not opinions, and make faster, more confident decisions.
With Bagel, you can:
Open the Idea Page (or use Discovery for new hypotheses) to review requests, tickets, call notes, and usage data in a single stream.
Segment by industry, tier, renewal window, ARR band, and any customer business info or evidence data type to understand who’s asking and why it matters.
Dive into the evidence itself to hear the customer’s voice, understand the context, and assess urgency.
Decide on the right timeline: is this a candidate for next quarter, a long-term initiative, or not something to prioritize at all?
Collaborate with GTM owners to confirm commitments, deal-blockers, or renewal risks, ensuring decisions are aligned across teams.
Faster discovery, clearer priorities, and a roadmap that’s customer-centric, evidence-backed, and tied directly to business impact.
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