Make Good Data-Driven Product Decisions
Bagel AI turns scattered feedback and product data from tools like Salesforce, Gong, Zendesk, and Slack into clear actions, so every decision is backed by real evidence and tied to business impact.
Connecting Product Work to Revenue Impact
Uncover Relevant Feedback Instantly
For Product Ops & GTM Teams
Manually combing through feedback? That’s done.
Bagel AI continuously learns your taxonomy and automatically surfaces the most relevant product gaps and pain points across tools, teams, and touch-points.
Result:
Product Ops and GTM teams spend less time digging and more time acting on real evidence.
Link Ideas to Revenue. Automatically
For Product Managers & CROs
Your product ideas should come with a business case.Now they do.
Bagel AI links feedback to roadmap initiatives and connects each idea to revenue, customer pain, and business goals.
Result:
PMs and CROs finally speak the same language: IMPACT!
AI That Generates High-Impact Ideas
For Product Managers
Your backlog isn’t missing requests, it’s missing insights.
Bagel’s AI reviews your existing roadmap, customer feedback, usage patterns, and revenue trends to suggest new high-impact product ideas.
Result:
PMs discover what’s next before the competition does.
Prove Product Impact
For CPOs & CROs
No more vague “value delivered” claims.
Track adoption, satisfaction, and even revenue impact of features post-launch. Automatically.
Result:
Prove what’s working and reprioritize faster with real numbers.
Bring Product Clarity Into Daily Work
For Everyone (PMs, CS, Sales)
Nobody wants another status update meeting.
Bagel AI delivers context-rich product updates directly into the tools your teams already use: Slack, Salesforce, Jira, Zendesk, and more.
Result:
Every stakeholder stays in the loop. No chasing. No guesswork.
Product Tour
See how Bagel AI turns feedback and data into product decisions, automatically. No setup, just click through.
Any tool. Every evidence. All in one place
Your customer truth lives in 10 different tools: Gong, Salesforce, Jira, Zendesk, and more.
Bagel AI connects everything in one place, organizes the chaos, and shows which requests are worth acting on.
When most platforms collect feedback. We turn it into actions
Most companies build in the dark. Customer feedback is scattered, revenue context is lost, and product priorities rely on hunches. Bagel AI automatically connects the dots across GTM & Product data so product teams can prioritize the right features. Faster.
AI that understands your business
Learns your taxonomy and GTM language to auto-identify, cluster, and route requests. No tagging or triage needed.
Granular, business-ready evidence
Automatically enriches feedback with customer, revenue, and usage data.
Directly connected to your roadmap
Routes evidence into tools like Jira so PMs can act fast, with impact already attached.
Updates delivered where teams work
Keeps Sales, CS, and leadership aligned with real-time updates in Slack, Salesforce, and more.
Teams using Bagel AI cut launch cycles by 40% and reduce misaligned work across GTM.
Designed for the whole revenue-product org
Product operations
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Use case:
Deliver clean, quantified evidence to PMs without sorting through noise -
Uses Bagel AI to
Automatically extract and organize relevant feedback -
Outcome:
Fewer internal requests for “context,” faster alignment, less manual lift
Product managers
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Use case:
Prioritize features that drive real outcomes, not just requests. -
Uses Bagel AI to
Uncover and validate new product opportunities automatically. -
Outcome:
Smarter roadmap planning backed by feedback, usage, and revenue data.
Chief product officers
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Use case:
Connect roadmap investments to measurable business outcomes. -
Uses Bagel AI to
Track feature adoption and revenue impact over time. -
Outcome:
Visibility into what’s driving adoption, satisfaction, and revenue, so the team builds what actually matters.
Sales leaders
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Use case:
Identifies product blockers that stall or kill deals. -
Uses Bagel AI to
Stay informed and surface the Product team with relevant product updates. -
Outcome:
Stronger collaboration with product and fewer lost opportunities.
Customer success
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Use case:
Escalate product gaps tied to churn and customer frustration -
Uses Bagel AI to:
Get real-time visibility into product progress and customer issues -
Outcome:
CS gets visibility into resolution progress, Higher CSAT, lower retention costs
Chief revenue officers
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Use case:
Identify which product gaps are hurting revenue -
Uses Bagel AI to:
Quantify deal blockers and expansion opportunities tied to the product -
Outcome:
Clear visibility into product-driven revenue impact and faster execution on high-value needs
Support teams
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Use case:
Uncover recurring product issues without tagging tickets manually -
Uses Bagel AI to:
Auto-detect patterns in support conversations and connect them to product gaps -
Outcome:
Less ticket triage, faster resolution paths, and insights that actually inform the roadmap
Product marketing
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Use case:
Craft narratives backed by real customer pain and usage data -
Uses Bagel AI to:
Access validated feedback and adoption insights, without chasing down teams -
Outcome:
Messaging that lands, launches that convert, and fewer guesses in go-to-market
Product research
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Use case:
Discover unmet needs and validate ideas with real-world data -
Uses Bagel AI to:
Analyze feedback, usage patterns, and revenue signals across the customer base -
Outcome:
Faster, evidence-backed discovery with less manual sifting and more confident insights
Enterprise grade security. Built for scale.
Bagel AI ensures top-tier security and compliance, protecting your feedback, roadmaps, and outcomes while seamlessly integrating with your tools. Focus on impact with confidence.
Some good words from our customers
“Bagel AI helps us uncover blind spotsblind spots bringing evidence from different channels (sales calls, support teams etc.) making our product decisions sharper and more aligned with growth.”
“Bagel AI has been a crucial tool for us in turning GTM team feedbackturning GTM team feedback into quantifiable insights. It provides clear evidence to justify investment in new features, ensuring we make informed, high-impact product decisions.”
“Bagel AI is unmatched in the industry! The bespoke model built for HoneyBook helped us prioritize the most impactful featuresprioritize the most impactful features cutting through the noise of our large user base. Highly recommended!”
FAQ
Bagel AI goes beyond roadmapping.
While Productboard and Aha focus on planning and feedback collection, Bagel AI connects directly to GTM tools like Salesforce and Gong.
Its AI uncovers real product signals from calls, tickets, and CRM data and ties them to revenue impact.
No manual tagging. No surveys. No assumptions. Just clear, quantified priorities
No training required.
Bagel AI learns from your data, usage patterns, and GTM language adapting automatically without extra configuration.
You’ll get insights on day one.
Just connect your existing tools and Bagel AI starts pulling in actionable product intelligence immediately.
Yes.
Bagel is SOC 2 Type II compliant, GDPR-ready, and supports both SSO and RBAC for secure, scalable access control.
Absolutely.
Whether you’re PLG, sales-led, or hybrid, Bagel helps you turn feedback into features that drive conversion and retention.
From feedback to growth in a snap!
Connect the dots between feedback, roadmaps, and business wins. Let Bagel AI show you how feedback drives impact.
