@chaoticneutralkaren
Three BigQuery analyses backing the voice-note/voice-mode gating decision: event split by subscription status, non-subscriber repeat-usage and monetization, and the whale/subscriber value pattern.
Qualitative + quantitative segmentation of D2C "-Web" voice callers, now expanded with a RICE-scored Product Roadmap (Now/Next/Later, owned by Design/FE/BE/AI-ML) and a Cross-Functional Research Agenda (gaps a prompt engineer, data scientist, UX researcher, consumer researcher, and voice-AI engineer would each flag), on top of first-time vs returning behavior, the Whale/Returner Archetype, and the Token-Warning & Retention finding that hitting zero tokens is a 1.1%-return churn event.
"- Web" agents should run on two messages only — silent-pause and explicit re-up. Both underperform (62.3% / 3.7% compliance), the re-up warning's timing is inconsistent (6-98s before call end), and a lander-only message is leaking onto 2 agents that shouldn't have it.
Fleet-wide before/after review across all 34 "- Web" agents: false-positive rate on end_call collapsed from 68.9% to 11.6% around Jul 1-2 2026; "prolonged silence" false positives went from 266 to zero.
Content-and-behavior analysis of 153 VoiceLander demo calls: topic mix, the strengthening photo-reveal engagement signal, the persisting (and evolving) end_call fabrication issue, and a new finding on internal team QA chatter appearing in production conversation data.
Complete funnel analysis of the Sophie Dee VoiceLander demo: ad → lander → call → registration wall → registration → purchase, combining ElevenLabs conversation data with backend BigQuery events (d2c_prod). Resolves the earlier open questions on the photo-reveal mechanic and the 4-photos gate threshold.
145 agent-initiated hang-ups in the inappropriate/unclear buckets, sub-categorized with suggested true/false-positive verdicts for human review; includes recommendations.
Why calls end across all agents, plus categorized agent-initiated end_call reasons with verbatim examples, recommendations, and prioritized next steps. (Excludes the max-duration artifact and quota-limit rejections.)
Deterministic analysis of all calls: termination distribution, time-to-end, per-agent profiles, the 'user silent' trailing-silence review, bounce stats, plus recommendations & prioritized next steps. (Excludes the historical max-duration artifact and account quota-limit rejections.)