product-question-research

To research Databricks product questions, this skill queries public documentation, internal Glean, and Slack channels to identify feature status, dependencies, and alternatives. It compiles the findings into a structured Google Doc complete with confidence ratings and inline citations.

Yes, you can check the roadmap or preview status of a Databricks feature. The skill investigates feature statuses such as General Availability, preview, and roadmap items to provide detailed timelines, access requirements, and dependencies for accurate customer support.

The best way to compile product research findings is to use this skill to generate a structured Google Doc. It automatically aggregates research from multiple sources and outputs a documented answer complete with confidence ratings and inline citations for reference.

Yes, the product research process supports gathering context from internal Slack conversations. It performs multi-source research by extracting information from public documentation, internal Glean, and Slack channels to answer feature inquiries accurately.

When answering customer questions about Databricks capabilities, limitations depend on the availability of information within public documentation, internal Glean, and Slack channels. The skill mitigates uncertainty by providing confidence ratings and inline citations for compiled findings.