Collect more than the review text
Useful review analysis includes rating, text, date, product variation, helpful count, images, video, seller response, and product identifier. These fields help separate a product issue from a specific size, color, batch, or delivery experience.
Segment before summarizing
Split reviews by rating, variation, time period, and whether media is attached. Recent one-star reviews often reveal operational changes that disappear inside an overall average.
Create a repeatable issue taxonomy
Tag recurring themes such as quality, sizing, packaging, delivery, accuracy, durability, and seller support. Keep the source review linked to each tag so summaries can be verified.
Use results responsibly
Review data is a research input, not proof that every buyer will have the same experience. Avoid collecting unnecessary personal information and retain only the fields required for the analysis.