Signal Clustering
Turn a noisy stream of signals into a short list of named pains — the raw material for real opportunities.
When to use
- The signal corpus has grown and needs structure.
- Before ranking opportunities, to define what they are.
Steps
- Normalize the signals into a comparable form.
- Group them by the underlying problem, not the surface topic.
- Name each cluster as a pain a person actually has.
- Weigh each by how often and how loudly it recurs.
- Drop the noise that clusters into nothing.
Output
A set of named pain clusters, each with its supporting signals and a frequency weight, following the [[Ranking rubric]]. Feeds opportunity ranking.