market-signal-harvester

To validate product-market fit, this Skill scans competitor activities, community discussions, and user reviews to identify demand patterns and pain points. It normalizes scattered market research into structured signals, separating raw observations from interpretations to assess problem significance.

Signal harvesting in competitor analysis is the process of gathering and normalizing public information into themes, repetitions, contradictions, and weak signals. It structures scattered market evidence so product managers can separate objective observations from subjective interpretations.

You normalize user feedback by scanning relevant forums, review sites, and competitor announcements to extract evidence. The Skill organizes this gathered information into standardized themes and labels signal strength to highlight market traction or pain points.

Yes, you can assess market traction by scanning public sources for evidence of user demand related to your feature idea. It collects competitor announcements and community discussions, identifying patterns and weak signals to validate whether the problem is significant.

The best way to separate observations from interpretations is through structured analysis of gathered external evidence. This Skill normalizes public information into themes and contradictions while explicitly labeling signal strength, ensuring raw market observations remain distinct from analytical conclusions.

No specific dependencies are required to gather market signals. The Skill processes external evidence from public sources like competitor announcements and community reviews, relying on structured analysis to normalize the gathered information into actionable product themes.