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 Use AI to Understand Why Customers Hesitate to Buy | Miyeta
Customer hesitation is rarely caused by one obvious problem. Learn how to use AI to investigate the uncertainty, perceived risk, missing information, and hidden concerns behind why customers hesitate to buy.
How to Use AI to Discover Hidden Customer Scenarios From Customer Feedback | Miyeta
Customer feedback often contains hidden usage scenarios that traditional analysis misses. Learn how to use AI to uncover customer contexts, situations, motivations, and unmet needs from small amounts of unstructured feedback.
Why Do Customers Say a Product Is Too Expensive? How AI Can Investigate the Real Reason | Miyeta
Why do customers say a product is too expensive? Learn how to use reviews, feedback, context, competitor evidence, and AI to distinguish affordability, perceived value, expectations, trust, and customer-fit problems.
How to Find Customer Needs in Reviews With AI | Miyeta
Learn how to find customer needs in reviews with AI. Go beyond complaints and feature requests to understand customer situations, goals, expectations, unmet needs, and the evidence behind them.
How to Find Customer Pain Points With AI From Reviews, Feedback, and Support Messages | Miyeta
Learn how to use AI to uncover customer pain points from reviews, support messages, and other unstructured feedback. Go beyond sentiment and summaries to find recurring problems, customer contexts, and deeper needs.
How to Analyze Customer Reviews With AI: A Practical Workflow for Small Ecommerce Teams | Miyeta
Learn how to analyze customer reviews with AI beyond simple summaries. Use small, unstructured feedback to uncover customer needs, scenarios, patterns, and deeper insights with a human-led AI workflow.
Why Shopify, GA4, and Ad Platforms Show Different Numbers | Miyeta
Shopify, GA4, Google Ads, and Meta often report different ecommerce numbers. Learn why these differences happen and how to diagnose them before deciding which number to trust.
How to Use AI to Diagnose Ecommerce Conversion Problems With Hypotheses | Miyeta
Learn how to use AI to investigate ecommerce conversion problems with explicit hypotheses, supporting evidence, contradictory evidence, and cross-validation instead of asking AI to guess why conversion dropped.
Why Is My Ecommerce Conversion Rate Dropping? A Step-by-Step Diagnosis | Miyeta
Is your ecommerce conversion rate dropping? Learn how to diagnose the real cause using traffic, customer behavior, customer evidence, product context, and AI instead of assuming your website is broken.