Ideas: High-level product items, enriched with data from evidence and requests.
Evidence: Product gaps from customer insights, support tickets, call transcripts, and product usage signals.
Requests: Feedback logged by GTM teams and customers, linked directly to ideas and roadmaps.
Integrations: Connections with Salesforce, Jira, Slack, Zendesk, Gong, Intercom, HubSpot, and more.
AI-Native Workflows: Bagel automates triage, linking, and enrichment, so teams can focus on decisions rather than data entry.
What is an idea?
What is an idea?
An idea is the unit of work in Bagel AI. It can represent a user problem, a pain, an opportunity, or a solution.
An idea has fields you can use to describe its key attributes, such as title, description, priority, etc. and you can attach customer and internal evidence to it.
Evidence are sales opportunities, customer feedback, user interview notes, support tickets, or internal requests.
Bagel AI Assistant automatically finds additional customers who share the same product need or pain so one can easily tap into product blind spots and add them as evidence.
Bagel also automatically consolidates the evidence potential business impact and context, such as revenue figures, renewal dates, commitments, etc.
Ideas are then linked to solutions or delivery items in your product management tool when they're ready to be actively worked on by the engineering team.
What is an evidence?
What is an evidence?
An evidence is the supporting data to justify and explain an idea. This includes why an idea is important and should be prioritized or context about the actual need / pain.
Evidence represent sales opportunities, customer feedback, user interview notes, support tickets, or internal requests coming directly and continuously from the various go-to-market tools.
An evidence has fields you can use to describe its key attributes, such as title, description, priority, commitments.
Bagel automatically captures and surfaces the source and transcript behind this evidence as well as its related end user, customer account, and financial metrics.
Examples of evidence sources are Salesforce, Zendesk, Slack, Gong, Jira, etc. Learn more about the list of supported evidence sources.
Evidence can be added in various ways:
By a go-to-market reps, via the Bagel plugin inside their tools -> called Request
By a product manager, inside the Bagel web application -> called Evidence
Suggested by Bagel AI Assistant, and approved by a manager -> called Evidence
Bagel AI Assistant automatically finds additional evidence -> customers who share the same product need or pain so one can easily tap into product blind spots
What is a request?
What is a request?
A request is a product need, pain, or gap submitted by a go-to-market rep.
It is being used as supporting data to justify and explain an idea. This includes why an idea is important and should be prioritized or context about the actual need/pain.
It is simply a flavor of an evidence and share the same properties - represents a sales opportunity, customer feedback, user interview note, support ticket, or internal request coming directly and continuously from the various go-to-market tools.
Compared to any other type of evidence, a request will also have:
A submitter
Submission time
Any other field enforced by the Bagel Plugin, such as Title, Description, Product area, Priority, Owner, Committed date, etc.
Bagel AI Assistant automatically suggests to reps of requests to submit based on the context and transcript of their customer object (sales opportunity, call, chat, email, etc.) withing their go-to-market tool