Customer review theme analysis

Purpose

Turn free-text customer reviews into a stable set of themes that product, support, and marketing can act on. The analysis preserves the original wording and shows how often each theme occurs.

Scope

Analyze the supplied review corpus for the selected period, channels, products, and languages. Code topic, sentiment, rating context, recurrence, and representative evidence while retaining review-level traceability.

Excluded: identifying reviewers, responding to reviews, proving causation, weighting an unprovided sample, or treating one anecdote as a population estimate.

Data basis

• Review table columns review_id, date, rating, channel, product, text, language, and verified.
• Product taxonomy and sentiment or theme coding guide.
• Prior theme register with theme_id, definition, owner, and trend status.
• Customer segment and response-policy references.

Result

A theme analysis report, coded review sheet, and prioritized issue register.

Quality criteria

• Every coded review retains review_id, date, rating, channel, and source text citation.
• Theme definitions are mutually distinguishable and include inclusion and exclusion examples.
• Counts reconcile to the review population after language, duplicate, and spam dispositions.
• Sentiment is reported as coded polarity, not as a psychological claim.
• Priority combines stated business criteria with volume and severity evidence.

Instructions

Deduplicate only when review text, author marker, and timestamp support the match; keep uncertain duplicates separate. Translate only when a translation source is supplied and preserve the original language. A review can receive multiple themes, but the report must state whether counts are review-level or mention-level. Quote only the minimum representative text and mask personal data. Do not rank a theme without naming its denominator and priority rule.

Adapt before use

• Map review fields and product taxonomy to the source table.
• Set language handling and sentiment labels.
• Define severity, volume, recency, and ownership rules.
• Add prior theme register and privacy requirements.