What it does: -Analyzes incoming qualitative feedback and identifies key themes, sentiment shifts, and emerging issues -Connects qualitative insights back to behavioral data to help teams understand not just what users do, but why -Generates actionable recommendations on improvements to ship and sends asynchronously

Why: -Close the qual/quant gap: Pairs behavioral data with structured qualitative analysis from multiple feedback sources -Reduce manual work: Automatically groups feedback into themes instead of requiring teams to read through hundreds of responses -Act faster: Surfaces prioritized, customer-informed recommendations so teams can ship what matters most