In practice
It links every customer to the signals they sent, the priorities those signals shaped, the specs that followed and the outcomes that shipped. Instead of keeping each step in a separate tool, the graph preserves how one led to the next.
It isn't just a database of feedback. The relationships are the useful part: who asked, what decision changed and what happened afterwards.
Why it matters for product builders
The record gets more valuable over time. You can trace a decision back to its evidence, see what you built before and avoid restarting the same research in every new session.
What changes in AI-first products
Agents need this connected history to work from the same context. Without it, each session starts with a partial view and repeats old decisions.