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.
Can AI Actually Shop Your Store Like a Customer? | Miyeta
What happens when AI stops auditing your ecommerce site and actually shops it? Explore AI shopper simulation, buyer perspectives, purchase blockers, and evidence-based CRO.
How to Find Customer Pain Points in Product Reviews
Learn a practical framework for finding real customer pain points in product reviews. Go beyond complaints to understand scenarios, root causes, and business implications with AI.
AI Customer Feedback Analysis: What to Extract and Why It Matters
Learn what to extract from customer feedback with AI—beyond sentiment. Discover a layered framework for analyzing themes, context, needs, friction, and opportunities in ecommerce.
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.
What Do Negative Reviews Really Tell You About Your Customers?
Negative reviews are signals, not diagnoses. Learn a practical framework for analyzing customer complaints, expectation gaps, and usage scenarios to uncover real business opportunities.
How to Analyze Customer Reviews With AI: A Practical Ecommerce Framework
Learn a practical AI framework for analyzing ecommerce customer reviews. Go beyond word counts to uncover customer scenarios, pain points, and business opportunities.
What Is Customer Intelligence? A Practical Guide for Ecommerce Teams
Learn what customer intelligence really means for ecommerce. Discover how to turn customer signals, scenarios, and context into validated business opportunities—beyond basic review summaries.