signal-clustering

name	Signal Clustering
description	Group raw market signals into distinct pains you can name and act on.
category	Research

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

1. Normalize the signals into a comparable form.
2. Group them by the underlying problem, not the surface topic.
3. Name each cluster as a pain a person actually has.
4. Weigh each by how often and how loudly it recurs.
5. 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.