Athenic AI Docs
  • Getting Started
    • How to Get Started with Athenic AI
    • Connect a Data Source
    • New Project and Project Settings
    • Configure Data Source and Data Preparation
  • Getting Insights
    • Asking Questions
      • Question Tips
    • Using Projects
      • Suggested Questions
      • Key Terms
      • Follow-up Questions
      • Saving Tables and Charts to a Project
      • Modifying a Chart
        • Chart Basics
        • Advance Visualization Capabilities
      • Using the Dashboard
        • Editing a Dashboard
        • Using Dashboard Filters
        • Scheduling a Report
        • Share Dashboard
        • Viewing the Charts
      • Datasets
      • AI Training
  • Integrations & Application Connectors
    • SQL Databases
    • Data Warehouses
    • Files and Sheets
  • Collaboration and Management
    • Managing Projects
    • Managing Teams and Accounts
      • General Team Settings
      • Adding a New Team Member
      • Upgrade Subscription Plan
  • Developer Reference Materials
    • API Docs
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  1. Getting Insights
  2. Asking Questions

Question Tips

When asking a question it is important to be precise in communicating the answer you are trying to get. Apply these strategies to refine your Athenic AI inquiries for better outcomes:

Be Precise with Your Questions:

  • Aim for specificity to receive the most relevant answers.

    Rather than asking, "Who were the best salespeople?"

    Opt for, "Who were the top 10 salespeople by order volume last quarter?"

Clarify Your Criteria:

  • Eliminate vagueness by defining clear metrics.

    Instead of a general "top 10 salespeople"

    Specify the metric, "Who were the top 10 salespeople by revenue?"

Use Exact Column Names:

  • Incorporate actual data column names from your datasets for accuracy.

    Move away from, "What product made the most money?"

    To a more precise, "What product had the highest 'Total Profit'?"

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Last updated 1 year ago