PDBen-Auto case study

Amazon Review Intelligence: from 20 written reviews to product actions

Synthetic demonstration; no real ASIN or customer data

Question

Which product problems should a team fix first while preserving the benefits that drive positive feedback?

Input20 synthetic written reviews for a portable clip fan, with ratings, variants, dates, and review text.
Evidence handling20 canonical records, 20 deduplicated records, separate original and translated text, and primary-theme attribution.
OutputJSON evidence, an Excel workbook, and an offline HTML report with issue and benefit tabs.
Decision signalFix mount grip and low-speed refinement; preserve compact size, medium-speed airflow, and tool-free installation.

Why it matters

The result is not just a sentiment score. Every priority is linked back to supporting written-review records, while sample limits and the synthetic boundary remain visible.

Open the source examples and generated artifacts →