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Feedback and Validation — Collecting and Analyzing User Opinions with AI

TL;DR: User feedback is the foundation of product building, but it is chaotic, scattered and biased. AI solves three problems: (1) interview prep through synthetic users, (2) aggregation of feedback from multiple sources in one place (Notebook LM), (3) extracting insights without recency bias. The key rule: AI does NOT replace conversations with real humans — it prepares you for them and helps process the results.

Full article body is in Polish — an English translation is on the roadmap. The Polish version is available at https://bartoszgaca.pl/baza-wiedzy/budowanie-produktu/feedback-i-walidacja/.