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Text-to-Insight

Convert natural language business questions into analytical insights.

Overview

The Text-to-Insight tool takes natural language questions and transforms them into structured analytical queries. It relies on internal AI assumptions and interpretations to make best-guess interpretations of entities, time periods, and filters. This is an analytical tool and consumes MCP tokens.

Input / Output

InputNatural language questions
OutputMarkdown-formatted analytical results with data tables

Processing Method

  • Relies on internal AI assumptions and interpretations
  • NER tool makes best-guess interpretations of entities, time periods, and filters
  • Less precise but more accessible for human users
  • AI fills in gaps when context is incomplete

Example Prompts

  • "Show me Walmart Card Spend in 2024"
  • "What were the top 10 companies in FL last year?"
  • "Which states had the highest growth in ad spend?"

When to Use

✅ Best for:

  • Direct human interaction requiring a natural language interface
  • Exploratory analysis where precise parameters are unknown
  • When the user doesn't have enough context to build structured frameworks

❌ Not suitable for:

  • Data discovery questions like "What data is available for Walmart?"
  • Schema exploration like "What fields can I filter on?"
tip

For more precise control over query parameters, consider using Framework-to-Insight instead.