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    Customer Review Intelligence — Turn Reviews Into Business

    1

    Convert legitimate reviews into traceable themes, severity-aware priorities and evidence-grounded business improvement briefs.

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    Customer Review Intelligence — Turn Reviews Into Business

    Customer Review Intelligence — Turn Reviews Into Business

    Example session with this skill installed

    Illustrative scenario: Analyze three fictional review records: R1 “Delivery arrived three days after the promised date”; R2 “The package was on time, but setup instructions skipped a step”; R3 “Delivery arrived three days after the promised date,” an exact duplicate of R1 from an imported export. No dates, order records or other reviews exist. Give an improvement brief without claiming prevalence.

    • Read your context and instructions
    • Compiled the customer review intelligence

    Review intelligence brief — illustrative fictional records

    Evidence inventory: three supplied records; R3 exactly duplicates R1 and is excluded from theme counts pending source confirmation. Two distinct texts remain. These records do not represent the customer population.

    Theme A — delivery expectation gap: R1 explicitly reports arrival three days after the promised date. One distinct report. Operational cause, promise source and business impact unknown; do not infer courier failure or churn.

    Theme B — incomplete setup guidance: R2 explicitly reports an omitted step and on-time delivery. One distinct report. Verify the relevant product/version and instruction sequence before revising documentation.

    Prioritization: investigate both; insufficient evidence to rank by frequency or revenue. Assess severity and customer impact separately. No safety issue is stated in these texts.

    Improvement hypotheses: A — review delivery-promise accuracy and affected-order evidence; B — reproduce setup with the current guide and add the missing verified step if confirmed. Proposed owners: fulfillment/operations for A and documentation/support for B, subject to actual organization ownership.

    Validation: preserve record IDs and source lineage; confirm duplicate status; obtain dates and product/order context through authorized internal channels; compare a broader deduplicated dataset; verify changes and monitor recurrence after a baseline is established.

    Optional public reply draft for R1: “Thank you for flagging the delivery timing. Please contact our support team through the approved private channel so we can review the order and the promised date.” No private order details or compensation promise included.

    Execution notes: no live reviews retrieved, customer identified, reply posted or improvement implemented. No trend, prevalence or causal claim made.

    Connects securely to your tools. The creator never sees your data.

    About this skill

    Customer Review Intelligence analyzes reviews and feedback as a source of voice-of-customer evidence. It links source and customer context to themes, specific issues or delight, journey stages, severity, frequency, recency, confidence and improvement opportunities.

    Use it to find recurring pain, distinguish frequency from severity, preserve customer wording, identify expectation gaps and prepare product, support or operations improvement reports. It accounts for duplicated or spam-like feedback, translation uncertainty and self-selection; star ratings are not treated as sentiment truth or representative market opinion.

    Recommendations separate explicit statements from analyst inference and business-impact or root-cause hypotheses. It can support ethical competitor research and response drafting when evidence exists, but does not invent reviews, customer identities, trends or outcomes. Public responses must protect private details, and credible safety signals require appropriate escalation.

    How to use

    Skills on Agensi run inside your AI agent. Copy the prompt, paste it into your agent, and it connects to Agensi and installs this skill for you. If a payment is needed, your agent shows it to you first.

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