@chaoticneutralkaren
Executive view of current revenue: monthly trend, what users see before paying, feature verticals (chat, voice, media, JOI, video) and how they combine to drive payment, token and subscription purchasing (including subscriber token usage per billing cycle), the video-pivot evidence, action items, and reconciliation of circulating metrics.
Three-tier voice-caller UXR (registered non-subscriber vs. subscriber, non-registration as a rare edge case) — Executive Summary with North Star & Top 3 Ranked Bets, Segment Behaviour Breakdown, Deeper Segmentation with 7-way modality taxonomy and named segments, Token-Warning & Retention.
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.)