Insight traceability refers to the documented chain of evidence connecting each research conclusion to the raw participant data that supports it, including verbatim quotes, video clips, coded themes, and sentiment signals. In AI-moderated research, traceability is especially important because stakeholders need to verify that findings reflect real human responses rather than algorithmic summaries without grounding. Strong insight traceability allows insights teams to defend their conclusions under scrutiny, share sourced evidence with cross-functional stakeholders, and build cumulative knowledge across studies over time. Without it, even accurate findings can fail to influence decisions because the evidence behind them remains invisible or inaccessible to the people who need to act.