Creates an eight-section PRD covering context, problem, audience, objective, success metrics, value proposition, solution, release scope, assumptions, and open questions.

Finds upstream sources, downstream dashboards, owners, and risk in DataHub so teams can avoid breaking reports, pipelines, or customer-facing data.

Converts features, designs, and PRD context into small user stories using the 3 Cs and INVEST criteria, with testable acceptance criteria, edge cases, and sprint-readiness notes.

Reviews assertions, incidents, freshness and volume checks, and notification subscriptions so teams know which data assets need attention.

Turns a messy backlog of feature ideas and customer requests into a ranked recommendation with visible evidence, trade-offs, validation gaps, and what to defer.

Creates issue templates, sprint setup, automation rules, and reporting plans so Jira administration is consistent across teams.