#qualitative

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.

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.

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.