This study introduces an LLM-powered Smart Report Assistant grounded in audience analysis and assessment design principles. Using retrieval-augmented generation, the system helps teachers interpret assessment data through personalized and conversational reporting. Results from a usability study indicate promise for supporting score interpretation and data-informed instructional decision-making.