Signal Clustering

Group raw market signals into distinct pains you can name and act on.

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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.

tinyhumansai/opencompany/tree/main/companies/signals_opportunity_studio/skills/signal-clustering commit 81d7e5b352

Frequently asked questions

npx skillmds@latest add tinyhumansai/signal-clustering