synthesize

To synthesize product discovery evidence, group tickets, reviews, and analytics signals by the underlying problem, then apply trend detection and corroboration analysis to generate crisp problem statements with confidence reasoning and identified gaps.

Evidence clustering groups gathered support tickets, reviews, and analytics signals by the underlying user problem rather than surface topic, enabling teams to understand struggles before deciding what to build.

Problem framing applies to analytics findings and other weighted evidence already collected for product decisions. The process requires trend detection, corroboration analysis, and confidence reasoning to turn signals into clear problem statements.

Identify evidence gaps during theme synthesis by analyzing source diversity, recency, and corroboration. Gap writing highlights what is still unknown and where to look next to close the biggest evidence gaps for product decisions.

Evidence clustering does not perform data gathering or scoring. It requires weighted evidence already collected for product decisions and focuses on clustering, trend detection, corroboration analysis, and confidence reasoning.