success-story-generator

To generate success stories from ASQ consumption metrics, this Skill correlates closed STS ASQs with before-and-after metrics using a SQL query against the gold_shared_asqrelativemetrics table, producing scored documents with charts.

Yes, you can create Google Slides and Slack messages from STS ASQ data, as this Skill renders multi-format outputs including Google Docs, Google Slides, markdown, and Slack drafts based on consumption analysis.

The scoring system ranks ASQ candidates for success story generation by applying a 4-criterion rubric that evaluates metric relevance, growth magnitude, temporal correlation, and engagement depth.

Yes, you need matplotlib to render consumption charts for ASQ success stories, as the Skill depends on this library for on-demand chart generation and visualizing before-and-after metrics.

The best way to enrich STS ASQ success stories with qualitative context is by optionally integrating Slack, Gmail, Glean, and Salesforce UCO data to add downstream follow-up information and qualitative depth.

ASQ success story generation requires a combined SQL query to retrieve both ASQ metadata and monthly consumption time series simultaneously from the gold_shared_asqrelativemetrics table, enabling accurate before-and-after metric correlation.