AI Product Analyst
The analyst layer explains only what PlayDirective's deterministic decision layer can support. Root-cause ideas are explicitly labeled as hypotheses, not facts.
Fix mobile onboarding before you scale growth.
The strongest supported issue is a material mobile-versus-desktop retention gap. The current evidence justifies investigation and an onboarding experiment; it does not prove a specific UX defect caused the decline.
Investigate mobile onboarding friction
Mobile D1 retention is 8.7% versus 17.9% on desktop.
This is the strongest supported signal because the segment divergence is large and directly tied to the first-session experience.
Compare the first-session funnel by device and test a shorter mobile onboarding flow.
Convert traffic growth into monetization
DAU is growing materially faster than daily revenue.
Traffic growth without proportional revenue growth suggests a monetization efficiency issue worth investigating before scaling acquisition.
Inspect payer conversion and offer timing before increasing acquisition spend further.
Candidate causes such as onboarding friction or offer timing are hypotheses. The analyst may recommend how to validate them, but it must not present them as proven causes unless the underlying decision bundle explicitly permits a causal claim.