EVIDENCE METHODOLOGY
Evidence first. Routing second.
LarkMetric separates the question "what fits?" from "what can be monetized?" Those are different decisions, and payout never changes product relevance.
Evidence labels
- Documented
Current official product/provider/account evidence supports the claim.
- Observed
LarkMetric reproduced a behavior under a defined test protocol. We do not use this label when no hands-on test exists.
- Unknown
Evidence is missing, stale, contradictory or belongs to downstream underwriting.
- Inference
An analyst interpretation, clearly separated from fact.
Decision sequence
Define the user or merchant job.
Gather the strongest current evidence.
Resolve fit/readiness without commercial payout influence.
Apply eligibility, GEO, rights and legal boundaries.
Only then choose an eligible commercial route.
Use real conversion/revenue outcomes later to optimize among already suitable routes.
AI companion comparisons
Current public AI pages are primarily documentation-led. LarkMetric does not imply weeks of hands-on testing where it has not been performed. Future OBSERVED claims must use a reproducible memory/voice/privacy test protocol and a dated test record.
Payment readiness
Objective gaps can be labelled FIX FIRST. Questions controlled by a specialist provider remain UNKNOWN. LarkMetric does not process payments, underwrite merchants or estimate an approval probability.
Corrections and freshness
Pricing, policies and capabilities change. Material claims should carry a checked date, and corrections should update the evidence rather than silently rewriting history.