The research notebook
Ecommerce insights, research, and practical analysis.
Analysis, frameworks, experiments, and practical ways to use AI to understand customers, validate products, analyze competitors, and investigate ecommerce problems.
How to Find Customer Pain Points in Reviews With AI | Miyeta
Learn how to find real customer pain points in product reviews with AI. Separate complaints from root causes, understand usage scenarios, validate patterns, and avoid turning every negative review into a product decision.
Customer Feedback Analysis: How to Turn Feedback Into Ecommerce Insights | Miyeta
Learn how to analyze customer feedback beyond sentiment. Use reviews, support messages, surveys, comments, and customer questions to uncover scenarios, needs, objections, friction, and ecommerce opportunities.
Why Do Customers Say “Too Expensive” When Price Isn't the Real Problem?
Learn why customers say “too expensive” and what it really means. Discover a practical framework for analyzing price objections through value, trust, differentiation, and customer context.
How to Analyze Negative Reviews for Customer Insights | Miyeta
Learn how to analyze negative reviews without treating every complaint as a product problem. Use customer context, expectations, scenarios, and cross-validation to find the real issue behind negative feedback.
How to Analyze Customer Reviews: An AI-Powered Ecommerce Framework
Learn how to use AI to analyze customer reviews beyond sentiment and summaries, uncover customer scenarios, needs, objections, and patterns, and connect review evidence to better ecommerce decisions.
What Is Customer Intelligence? How AI Changes Ecommerce Customer Understanding
Customer intelligence is more than collecting customer data. Learn how AI changes the way ecommerce teams understand customer needs, behavior, feedback, and buying decisions.