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Product Graph

What it does

The Product Graph is a visual, queryable knowledge graph that maps everything in your product — features, goals, customer signals, decisions, and the relationships between them. Unlike a flat list of tickets or documents, the Product Graph shows you *how things connect*: which customer signals support which features, which decisions affected which goals, and which features are at risk based on recent feedback.

Every node in the graph is automatically enriched with data from your connected integrations. When a Slack thread mentions a feature, it becomes a signal node linked to that feature. When you log a decision, it links to the relevant PRDs and signals. The graph grows and updates continuously as your team works.

When to use it

  • Before writing a PRD — explore what signals and decisions already exist for a feature area
  • During impact analysis — understand how a proposed change ripples through related features and goals
  • For stakeholder presentations — show the evidence trail behind a product decision
  • When onboarding new team members — give them a visual overview of the product landscape
  • During retrospectives — trace the chain of signals → decisions → outcomes

    • How to use it

  • Open Product Graph from the sidebar
  • Use the search bar at the top to find a node by name (feature, goal, signal, or decision)
  • Click any node to expand its direct connections and see a detail panel on the right
  • Use the filter toolbar to show only specific node types (e.g. only signals, only decisions)
  • Click Add Node to manually add a feature, goal, or custom node
  • Drag nodes to rearrange the layout; the graph saves your arrangement automatically
  • Use Export to download the graph as a PNG or share a live link

    • Example

    Your team is planning a checkout redesign. Search for "checkout" in the Product Graph. You immediately see:

  • 14 signal nodes (Slack threads, Gong call excerpts, Jira tickets) linked to the checkout feature
  • 3 past decisions that affected checkout (including one that delayed a redesign 6 months ago)
  • 2 goals that checkout contributes to: "Increase conversion rate" and "Reduce support tickets"

    • This context takes 30 seconds to gather instead of 30 minutes of searching across tools.