Decision-Making Explanations

• Algorithms: Summarize how heuristic or ML models interpret user signals.
• Insights: Provide straightforward, user-friendly interpretations (e.g., “Your attention improved by 10% after rest”).
• User Education: Create FAQs or tutorials explaining complex analytics.