Context Building

Context building is the process by which the data agent develops deep understanding of your specific business environment, terminology, and processes.

The agent doesn’t guess about your business - it asks the right questions to build accurate context:

• “What does ‘customer acquisition’ mean in your specific industry?”
• “How do you typically measure success for this type of campaign?”
• “What seasonal patterns should I be aware of in your business?”
• “Are there any data quality issues I should know about?”

Different team members provide different types of valuable context:

Once built, context enhances every aspect of analysis:

With business context, the agent can form hypotheses that actually matter to your organization:

• Instead of generic correlations, it looks for business-relevant relationships
• Focuses on metrics that drive actual decisions
• Considers your specific operational constraints and goals

Context helps the agent interpret results correctly:

• Understands when outliers are expected vs. concerning
• Knows which seasonal patterns are normal for your business
• Recognizes data quality issues specific to your systems

Business context enables practical suggestions:

• Recommendations that fit your operational capabilities
• Suggestions that align with your strategic goals
• Actions that respect your organizational constraints

Your business context isn’t static, and neither is the agent’s understanding:

• Process changes are incorporated as they happen
• New business initiatives update the agent’s understanding
• Market shifts are reflected in updated context
• Organizational growth expands the agent’s business knowledge

The agent validates its understanding through:

• Confirming interpretations with stakeholders
• Testing assumptions against business outcomes
• Updating context based on feedback
• Refining understanding through continued interaction

This ensures the agent’s business context remains accurate and valuable as your organization evolves.