atpm-plg

To design and validate an in-product campaign, you need to research ideas, design experiment cohorts, estimate impact, and publish briefs to Confluence. This Skill automates that entire workflow using your product data.

Yes, you can use Snowflake and Glean data for product-led growth campaign ideation. The Skill researches ideas and validates targeting inputs by querying these platforms to propose data-backed campaign strategies.

Yes, access to Confluence is required to publish experiment briefs. The Skill syncs campaign definitions and experiment designs directly to the PLG Campaigns section in Confluence for team visibility.

The best way to define experiment cohorts is by collecting targeting inputs, validating surfaces, and building smart messaging ladders. The Skill creates sequential funnel models to structure your experiment testing.

To create context for prototype development, the Skill generates a prototype handoff output after campaign definition. This provides the necessary framework to transition your validated experiment design into prototype builds.

To move a specific product metric, trigger the Skill with a command like 'start PLG campaign'. It will guide you through ideation, cohort design, impact estimation, and Confluence publishing to drive metric changes.