The End-to-End Data Scientist’s Prompt Playbook

Large Language Models can bridge the communication gap for data scientists by translating complex model outputs into clear, compelling business narratives. By using structured prompts, technical metrics like SHAP values and confusion matrices can be explained in terms of their direct impact on cost, risk, and revenue. The key is to frame requests for a specific non-technical audience, forcing the LLM to focus on actionable insights rather than jargon. This approach provides a powerful toolkit for generating executive summaries, clarifying trade-offs, and ensuring data-driven stories resonate with decision-makers.