Cross-platform intelligence
A unified dashboard is not the same as unified evidence.
Creators operate across platforms that measure different behaviors under different definitions. WITNESS is designed to reconcile those signals before reasoning across them.
Platform metrics are contextual.
A view, impression, reach event, profile visit, watch-time measure, completion percentage, subscriber event, or engagement action can have different definitions and reporting behavior depending on the provider. Cross-platform intelligence must preserve those differences rather than flattening them into one vocabulary.
What WITNESS adds
Source identity
Keep each provider and connection distinguishable.
Semantic reconciliation
Determine which metrics can be compared directly, indirectly, or not at all.
Time alignment
Account for reporting lag, different windows, and provisional periods.
Evidence weighting
Let provenance, availability, and Signal Integrity affect how strongly a source influences the conclusion.
Competing explanations
Test whether a cross-platform pattern is audience behavior, distribution change, source mix, campaign effect, or another cause.
Persistent context
Compare new evidence with historical baselines and prior Findings rather than starting from zero each time.
The goal is not one giant number.
WITNESS does not need to reduce every platform into a synthetic score. The useful output is an evidence-backed explanation of what changed, how the signals relate, where they disagree, and how much confidence the available evidence justifies.