Connect requests, support pain, and delivery evidence into the brief Product needs to decide.
Support calls it a bug, Sales calls it a blocker, Product has three similar requests, and Engineering has an old issue with a different title. Teams spend the review reconstructing the signal before they can decide whether it matters.
Customer demand is counted by tickets instead of deduplicated problems.
Product investigations begin by asking several teams for context.
Release readiness and changelogs depend on manually joining work across tickets, code, and documents.
Groups feature requests, objections, workarounds, complaints, and desired outcomes across Support, Sales, and CRM context. Deduplicates the theme and attaches affected accounts, frequency, segment, commercial context, and source quotes.
When a key metric or customer behavior changes, gathers the agreed product data, recent releases, incidents, tickets, and customer evidence. Produces a hypothesis-ranked investigation pack without presenting correlation as confirmed cause.
Tracks scope, open blockers, test evidence, documentation, launch assets, support readiness, and customer commitments. Identifies missing owners and prepares the go/no-go brief for the responsible team.
Reads completed tickets, merged work, release notes, and linked customer requests. Prepares an internal changelog and audience-specific draft updates, with unsupported claims and unverified availability flagged.
Also runsRoadmap evidence pack · Beta feedback digest · Decision-history retrieval · Feature-adoption review
The agreed metric crosses its material-change threshold or a product owner starts an investigation.
The coworker joins product data, recent deploys, incidents, support tickets, session or account context, and related Jira work.
It distinguishes observed facts, source conflicts, plausible hypotheses, and missing evidence. Each claim links back to the relevant system.
The product and engineering owners choose the next test, rollback, fix, or no-action decision. The coworker prepares the follow-through.
Builds a cited escalation brief across every channel.
Open solutionTurns conversations into structured, approved Jira issues.
Open solutionOne cited answer across mail, files, chat, tickets, and code.
Open solutionCited technical answers across repos, tickets, wikis, and chat.
Open solutionNo. It retrieves and structures the evidence, preserves customer and commercial context, and makes contradictions visible. Product leaders still choose priorities and trade-offs.
Yes, when the agreed fields and definitions are available through an approved database, export, or API. The coworker must separate observed changes from hypotheses and never label correlation as confirmed cause.
It groups requests by the underlying customer problem and desired outcome, then preserves the original accounts, source quotes, dates, segments, and linked work so Product can inspect the grouping.
Start with voice-of-customer synthesis if feedback is fragmented. Start with release readiness if launches repeatedly stall on missing owners and evidence.
We will configure the evidence sources, definitions, output, owner, and decision boundary, then run the Product Coworker once.
