Actionable insights
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The Actionable Insights feature in Graphite Note is designed to provide users with tailored, data-driven recommendations generated using Generative AI. This functionality is available for models created with binary classification, multiclass classification, and regression tasks. Once model is trained, Graphite Note automatically generates two layers of insight designed for both strategic planning and data-driven operational decisions. To generate Actionable Insights in Graphite Note, you must enable them during the model scenario definition process.
These insights are available in two dedicated tabs:
Strategic Summary – executive-level narrative and high-level strategy
Feature Insights – field-level exploration of key drivers and metrics
The Strategic Summary tab provides a high-level, narrative-style document that synthesizes the most important findings from your model into a clear business strategy. This view is designed for business leaders, strategists, and cross-functional teams.
This automatically generated report includes:
A summary of top feature drivers and patterns influencing your target outcome (e.g., churn, conversion, revenue)
A clear, high-level business goal based on the model output
A set of Strategic Directions — each linked to specific feature behaviors, explaining the “why” and “how” behind trends
Concrete, evidence-based Actionable Insights that suggest changes to pricing, packaging, service tiers, or customer engagement
A table of Objectives, Goals, and KPIs aligned with each strategic recommendation
Root-cause analysis frameworks (e.g., Five Whys, Impact/Effort Matrix, JTBD) that structure the logic behind the recommendations
Observations about anomalies or outliers found in the data distribution
The Feature Insights tab takes you deeper into the behavior of individual features and their statistical relationship with the model’s output.
Each feature includes:
Feature importance (impact on prediction)
Distribution analysis (e.g., skewness, groupings, bins)
Impact multipliers – how much each range or category increases or decreases likelihood of the target outcome
Narrative interpretation – human-readable explanations of what’s driving the behavior and suggestions for mitigation or action
Example:
TotalCharges: High churn risk found in low and very high ranges, suggesting pricing and customer value strategies.
Contract: Month-to-month contracts show the highest churn risk, guiding strategy toward longer-term offerings.
• Actionable insights are automatically generated during the model training process if this option is enabled.
• Once the model is trained, the results are presented on the Actionable Insights Tab, offering users prescriptive analytics tailored to their specific business needs.
• These insights analyze the key drivers that most significantly influence the target outcome (e.g., churn, customer segmentation, or sales trends).
• Understand Key Drivers: Gain a clear understanding of which factors have the greatest impact on your predictions, such as customer tenure, spending patterns, or product features.
• Actionable Recommendations: Receive specific, practical strategies to address identified trends, such as improving customer retention or targeting the right customer segments.
• Business Alignment: Tailored narratives help you align insights with your business goals, ensuring data-driven actions that lead to measurable improvements.
The language used in the actionable insights can be adjusted via the User profile information page, allowing users to receive insights in their preferred language for enhanced understanding.
