How Kolliq turns public creator data into decisions
Kolliq uses public YouTube observations to help creators understand what changed, what evidence supports the interpretation, what remains unknown, and what deserves testing next.
Creator-relative baselines
A video is compared with the creator's own history so a small channel and a large channel are not judged by the same raw threshold.
Age-adjusted performance
Newer uploads need time. Kolliq avoids overclassifying videos that have not had enough public observation time.
Competitor and cohort evidence
Competitors and peer cohorts help separate isolated channel movement from broader topic or market movement.
Confidence and unknowns
Kolliq labels insufficient samples, conflicting evidence, and private analytics that public data cannot verify.
Evidence first, not certainty theater
Kolliq should not claim YouTube suppressed a channel, CTR dropped, retention dropped, or an algorithm change happened unless the available evidence supports that claim. Public data can still be useful because it narrows what to inspect next.