Polished dashboards and smooth onboarding used to mask incomplete datasets and poor data models. Now users just ask questions in natural language - gaps become obvious immediately. No gradient backgrounds to distract from "we don't actually track that."

This is why MCP adoption is happening fast among data companies with strong fundamentals. Pattern: expose an MCP server, users bring their own Claude. They ask questions, get answers, compare sources without leaving the conversation.

The conversational interface surfaces problems that a carefully designed UI workflow used to hide. Companies that haven't talked to users in years are about to find out what users actually wanted all along when they talk to Claude.