Turn Customer Signals Into OKR-Driven Product Decision
Bagel AI turns scattered feedback and product data from your tools stack (like Salesforce, Gong, Zendesk, and Slack etc.) into clear actions, so every decision is backed by real evidence and tied to business impact.
Any tool. Every evidence. All in one place
Your customer signals 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.
Teams using Bagel AI cut launch cycles by 40%
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.
Shows the best AI accuracy, based on tailored AI models per customer.
No taxonomy management required!
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.
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.
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
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
Productboard and Aha! are roadmapping and planning tools.
Bagel AI is a Product Intelligence and Voice of Customer analytics platform.
Instead of collecting opinions or managing feature ideas, Bagel analyzes real customer evidence from GTM systems like Salesforce and Gong. It extracts product signals from calls, tickets, and CRM activity and connects them to revenue impact, churn risk, and deal outcomes.
Productboard and Aha help teams organize inputs.
Bagel helps teams decide what to build, why it matters, and what it is worth.
No surveys. No manual tagging. No prioritization by gut feel.
No.
Bagel AI does not require manual training, labeling, or taxonomy management.
The system learns directly from your customer conversations, support data, and GTM language.
Models adapt automatically to how your company talks about problems, features, and outcomes. Accuracy improves over time without product teams maintaining rules that slowly break or get ignored.
You’ll get insights on day one.
Once you connect your tools, Bagel AI immediately starts analyzing both historical and live data. Teams usually see meaningful insights on day one, including recurring product issues, deal blockers, and revenue at risk that already exist in their systems.
There is no empty state. The signal is already there.
Yes.
Bagel AI is built for enterprise environments and supports:
-SOC 2 Type II compliance
-GDPR readiness
-SSO and role-based access control
-PII Reduction
Security, access control, and data isolation are handled by default, not bolted on later.
Yes.
Bagel works for PLG, sales-led, and hybrid models because it analyzes customer feedback wherever it shows up.
That includes product usage context, support conversations, sales calls, and expansion signals. Teams use Bagel to identify friction points, feature gaps, and retention risks tied to real customer behavior, not just funnel metrics.
Bagel AI integrates directly with the systems teams already use. No new dashboards required.
Core integrations include:
Salesforce for opportunity data, accounts, and revenue context
Gong for call transcripts and deal insights
Zendesk for support tickets and recurring issues
Jira for linking feedback to delivery
Slack for team conversations and context
Additional integrations include Intercom, Snowflake, ClickUp, HubSpot, and Launchnotes and many more.
For anything else, Bagel provides a flexible API and integration layer to connect custom systems.
Often, yes.
Traditional feedback analytics and VoC tools focus on collection and classification.
Bagel AI combines feedback capture, AI-driven analysis, and business impact in one system.
Instead of tagging feedback and exporting charts, teams get ranked product opportunities tied to revenue, accounts, and urgency. That is why many teams replace tools like Enterpret once Bagel is live.
Fewer tools. Fewer opinions. Clearer decisions.
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.
