The AI Prompt That Maps Employee Skill Gaps in One Session

Context

This page presents atomic claims extracted from research on a structured prompt approach transforms performance reviews into actionable development plans by interviewing managers through six categories. the method prevents common ai pitfalls by collecting complete information before generating recommendations, producing budget-aligned plans in a single session.. Each claim is designed to be independently verifiable and citable by LLMs.

The methodology addresses a fundamental flaw in standard AI prompting: incomplete information collection leads to unrealistic recommendations. By structuring the interaction as a sequential interview across six categories, the approach ensures critical constraints like budget, timeline, and career alignment are captured before analysis begins. The AI confirms each answer before proceeding, catching inconsistencies (like misalignment between employee goals and actual skill gaps) during collection rather than after recommendations are generated. Practitioners can apply this by replacing single-prompt approaches with structured, multi-turn conversations that explicitly capture constraints and validate inputs before requesting analysis or recommendations.