Product Bet Hypothesis: Audio “Podcast Feed” vs Text/Video “Feed”
Hypothesis
One of these is the true “primary value experience” for the beachhead:
- Bet A (Audio-first): Learners pay to get a personalized podcast feed (Pimsleur-like audio lessons + conversation podcasts) generated from content they care about.
- Bet B (Feed-first): Learners pay to get a LanguageReactor-like feed of target-language content with comprehension support (reading/listening UX).
Why I believe both could be true
- Learners often resist “homework” and prefer low-friction consumption; audio can fit commutes/chores.
- Many tutors already assign audio/video media (films, series, street Portuguese) as authentic practice.
Supporting quotes
- Audio practice signal:
- “Dou atividades mais práticas: mando áudio, a pessoa terá que descrever o que entendeu; assim a pessoa habitua-se ao sotaque e perde a vergonha.” — “I give more practical activities: I send audio; the person has to describe what they understood; that way the person gets used to the accent and loses their shyness.”
- Feed/content signal (media recommendations):
- “Eu indico filme e seriado com gírias; muitos querem aprender o português das ruas, principalmente do Rio de Janeiro.” — “I recommend films and series with slang; many want to learn ‘street Portuguese,’ especially from Rio de Janeiro.”
- Constraint (extra tooling resistance):
- “Todos os alunos que eu perguntei quer que eu mande alguma coisa? Não… Não gosta. Só quer conversar, só quer falar.” — “Every student I asked, ‘Do you want me to send you something?’ No… they don’t like it. They just want to chat, just want to speak.”
Tensions / counterevidence
- If the “feed” experience requires attention and sustained time, it may fail the “busy adult” constraint.
- If audio-only doesn’t create visible progress, learners may churn.
What must be true in the first 5 minutes
- Bet A: user can generate + play a tailored audio lesson quickly, and it feels “made for me.”
- Bet B: user can consume content with support (subtitles/definitions/highlights) immediately with minimal setup.
Metrics (compare A vs B)
- Time-to-first-value: minutes from signup to first successful “moment” (play audio / consume supported content).
- Week 1 habit formation: days active; minutes listened/read; return rate within 48 hours.
- WTP: explicit willingness to pay at $12/mo; “choose this over Duolingo/LanguageReactor/Pimsleur” statements.
- Retention: week-4 retention (later, after initial activation is solved).
Fastest tests (2-week sprint)
- Concept test interviews (no build needed): show two one-page mocks; ask which they’d buy and why.
- Artifact test with the current app:
- Run 5 learners through “upload → generate Pimsleur-like audio lesson”.
- Run 5 learners through “content feed” concept using a lightweight prototype/mocks (until implemented).
- Ask a forced-choice: “If we only shipped one for 3 months, which would you pick?”
Decision rule (double down / pivot / hybrid)
- Double down on Audio-first if:
- ≥60% of learners prefer audio-first and can name a routine where they’d use it ≥3 days/week.
- Activation is higher for audio: ≥50% reach first value in ≤5 minutes (in a guided test).
- Double down on Feed-first if:
- ≥60% prefer feed-first and describe using it as a “default” daily habit.
- Hybrid if preferences split but both show strong WTP; start with the one that yields higher activation.
- Kill if neither bet produces WTP or realistic weekly routines.