Feedback intake from conversations

Product discovery starts with getting customer conversations into one place. A Beam agent reads new Productlane feedback from support threads and calls, interprets the underlying request, and applies your rules to tag it by theme and severity. It links each piece to the related insight and notifies the product team when a theme gains momentum. Feedback that is ambiguous or spans several unrelated asks is routed to a person instead of mislabeled, with the source conversation attached so a product manager can read the customer's own words before deciding how to file it.

Linear issue linking

Discovery only pays off when insights reach engineering as real work. Because Productlane is built for Linear, a Beam agent reads an approved insight and creates or updates the linked Linear issue under your labeling and project conventions, carrying across the customer context and priority. It keeps the two sides aligned as status changes on either end. Deciding what actually enters a sprint stays with the team; the agent prepares the linked issue and notifies the owner, but committing engineering time waits for a human to accept it into the plan.

Insight grouping and priority

Scattered feedback hides how many customers want the same thing. A Beam agent reads Productlane insights, groups related feedback, and applies your scoring rules to rank what demand and revenue suggest matters most. It updates the insight's priority and notifies the product owner when the ranking shifts enough to act on. The final roadmap call stays with a person, since strategy weighs more than volume; the agent shows the grouped evidence and the score behind each rank, leaving a product manager to decide which insights get pursued this cycle.