Part 1: Product-market fit, MVPs and A/B testing

Module 8 · Sat 5 Sep

Product-market fit (PMF) = ek chhota lekin meaningful group aapke product ko deeply value karta hai, kyunki woh ek real, painful problem ko achhe se, sahi time par solve karta hai. Signals: retention, recommendations, organic spread, pay karne ki willingness. Sirf revenue PMF nahi hai. PMF scaling se pehle aata hai.

• Deep problems painful aur persistent hote hain - log un par action lete hain. Shallow problems sunne mein achhe lagte hain lekin behaviour nahi badalta. Problem deep ho to niche bhi theek hai.
• Class example - Superhuman ne poocha "Agar aap ise aage use na kar pao to kaisa lagega?" aur ~40% "very disappointed" ka target rakha. Bahut kam marketing spend ke saath ChatGPT ka organic spread ek aur PMF signal tha.
• MVP sabse chhota version hai jo aapko sabse zyada sikhaye - learning, completeness nahi. Class examples: Airbnb (ek listing), Dropbox (demo video), Zappos (manual photos aur shipping), WhatsApp-based ordering.

Ek hypothesis se shuru karo: population + treatment + outcome metric. Treatment atomic rakho (ek hi change). Sabse sasta test chuno jo sawaal ka jawab de.

A/B testing cause prove karta hai, sirf correlation nahi: control vs treatment, random assignment, effect size aur confidence ke hisaab se sample size. Bias aur spillover par nazar rakho, guardrail metrics track karo, aur results par trust karne se pehle sanity checks chalao.