Measured finding
Comparable videos show stronger viewing activity around one specific passage.
AI-assisted YouTube reports
Move from metrics to a testable editorial decision
Zelnyo brings together comparable periods, audience signals and content performance for each channel. The report separates what was measured, what remains a hypothesis and the experiment proposed to learn more.
Creative Workshop · 28-day period
Hypothesis
An earlier demonstration could connect the promise to the content more clearly.
Proposed test
Across at least three upcoming comparable videos, change only the timing of the first demonstration and observe average percentage viewed.
Data stays attached to its context
Comparable periods
The report uses complete Analytics days and compares the current period with available prior periods.
Separate channels
A selection can cover several channels, but their audiences and findings are never merged.
Qualified signals
Views, watch time, average percentage viewed, net subscribers, traffic, retention and CTR are used only when available and interpretable.
A report designed to be checked
- 01
Observe
The finding cites the data used and states its confidence.
- 02
Formulate
The interpretation is presented as a hypothesis without claiming causation.
- 03
Test
The proposed action defines one variable, one metric, an observation window and a decision rule.
What Zelnyo does not infer for you
A title or description cannot reveal a thumbnail, an opening sequence or the audience reaction. The report preserves these limits instead of filling missing evidence.
At least three actionable videos are required to create an AI report. Signals such as CTR retain their own qualification thresholds.
Report history
Return to previous analyses and their original context.
PDF export
Export a completed report to review or share it.
Review the complete format in the demo
The demo uses the same reading model with entirely fictional data.