SkillChirp
Transparent methodology

How SkillChirp scores demand without pretending.

A useful opportunity score needs more than a confident-looking number. SkillChirp separates estimates from measurements, exposes evidence for and against an idea, tracks source freshness, and lowers confidence when evidence is thin.

Every idea begins as a baseline

New reports can start with a category-level editorial baseline so users can compare ideas immediately. Baselines are explicitly labeled and receive low confidence. They are not presented as exact search volume, revenue, market size or measured buyer demand.

Measured evidence can replace assumptions

Confidence is separate from the score

BaselineDirectional estimate. No independent measured signal families yet.
PartialSome measured evidence exists, but coverage is incomplete.
MeasuredMultiple observations from at least three independent signal families.

Opportunity formula

42% demand + 38% buildability + 20% inverse competition

The formula is intentionally simple and visible. It is a prioritization tool, not a prediction that a startup will succeed.

Rules SkillChirp follows

Never label an editorial baseline as measured market demand.
Never invent exact keyword volume, traffic, revenue or market size.
Measured evidence stores its source, observation date and normalized score.
Show evidence against an idea, not only supporting evidence.
Freshness and confidence appear alongside demand scores.