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Understanding Responses

Learn how to interpret and act on the AI agent’s findings. Understanding response formats and statistical measures helps you make better data-driven decisions.

Each response includes:

  • Clear Finding: Direct answer to your question
  • Supporting Evidence: Statistical measures and confidence levels
  • Visual Proof: Charts and graphs showing the analysis
  • Methodology: How the conclusion was reached
  • Recommendations: Suggested next steps or follow-up questions

The agent provides:

  • Confidence intervals for estimates
  • P-values for statistical significance
  • Effect sizes for practical importance
  • Sample sizes and data quality notes
  • Main insights highlighted clearly
  • Statistical confidence levels provided
  • Practical significance explained
  • Business implications outlined
  • Data visualizations to illustrate findings
  • Statistical tests and their results
  • Confidence intervals showing uncertainty
  • Sample sizes for context
  • Analysis approach explained
  • Assumptions made explicit
  • Limitations clearly stated
  • Alternative interpretations when relevant

Learn Limitations

Understand what the agent can and cannot do to set appropriate expectations.

Best Practices

Get tips for writing effective questions and maximizing analysis quality.