ecommerce-review-analysis
Analyze cross-platform product reviews, ratings, follow-ups and support feedback with SKU-level evidence, purchase scenarios, positive drivers, pain themes and action priorities. Use for VOC and competitor feedback, not product selection or full copy production.
What this skill does
Ecommerce Review Analysis
- Identify the corpus and intended decision. Read data preparation to map fields, deduplicate and preserve platform/product/variant/time boundaries.
- Use VOC taxonomy to label purchase scenarios, positive drivers and complaints. Retain a link from each theme to actual anonymized source records.
- Use root causes and actions to separate symptoms from hypotheses and prioritize corrective work.
- Deliver the evidence-led summary at the requested depth. Report what the sample supports, what it excludes and the next useful validation.
Supplied CSV, spreadsheet, JSON or document exports require no external data provider. Public reputation samples are supplementary, not complete seller analytics. This Skill ships no review scraper. Do not treat rating, text sentiment, verified purchase or fraud suspicion as interchangeable facts.
Files in this skill
- _meta.json
- references/review-data-privacy.md
- references/root-cause-and-actions.md
- references/voc-output-templates.md
- references/voc-taxonomy.md
- SKILL.md
How to use in Orkas
Open the Orkas desktop app, go to the marketplace, and install this item with one click. Don't have Orkas yet? Download Orkas.