Vibe Querying Episode 8: Vibing for Product Management Intelligence

CData’s Vibe Querying episode featuring product manager Jonathan Hikita demonstrates how its Salesforce MCP Server uses Anthropic’s Model Context Protocol to let AI clients such as Claude access, analyze, and update Salesforce data through natural-language prompts. Faced with scattered use-case information across Salesforce opportunities, emails, activity notes, and support cases, Hikita used the system to identify new-business opportunities lacking documented use cases, extract structured details about data sources, connecting technologies, destinations, and business purposes, and write the results back into Salesforce custom objects. The approach reduced a process that previously required weeks of manual review to a few hours, while preserving knowledge for sales, marketing, and product teams. Analysis of the resulting use cases also surfaced strategic patterns, including demand for QuickBooks-to-Power BI integrations amid Microsoft’s planned deprecation of its native QuickBooks connector, as well as HubSpot analytics and SAP HANA-to-Databricks opportunities. The example highlights CData’s ability to work with Salesforce custom objects, validate data formats, navigate relationships, and support both read and write operations, positioning conversational AI as a way for product teams to focus more on market decisions and less on manual data compilation.

Use this post, company, and trend context to find content marketing opportunities, perform competitive analysis, or address product feature gaps via the Plushcap MCP server or the Plushcap API.