Hypotheses

These pages capture the falsifiable “what must be true” statements that guide the next round of validation.

Learner Value Hypothesis (Beachhead): Busy adult learners will pay ~$12/mo because LangListen turns language learning into a personalized, low‑friction “podcast feed” that helps them feel weekly progress.
Product Bet: Audio vs Feed: The primary value experience for the beachhead is either audio‑first (personalized podcast feed) or feed‑first (LanguageReactor‑like content feed with comprehension support).
Context & Progress Hypothesis (Backbone): Solving cross‑lesson memory/context and progress visibility is the highest‑leverage product backbone for motivation, quality, and retention.
Tutor Acquisition Hypothesis (Tutor as Channel): Tutors can be a scalable acquisition channel if LangListen gives them an immediate, reviewable workflow win that makes them comfortable inviting students.
Free Tier & Conversion Hypothesis: A free tutor tier reduces adoption friction while enabling learner conversion once value is experienced.
Pricing & Packaging Hypothesis: LangListen can charge ~$12/mo with a simple subscription + credits model if the unit of value is obvious, the free tier is constrained, and AI costs are bounded.
Datascience and AI Flywheel Hypothesis: With explicit opt‑in, uploaded/selected content → generated practice → engagement + corrections → better personalization → higher retention.