Analyze supplied customer reviews, app-store feedback, survey comments, and ratings. Identify sentiment by topic, recurring strengths and pain points, cautious authenticity signals, segment and time trends, representative quotations, and evidence-linked recommendations. Counts are explicit and data quality limits are disclosed.
Use this plugin when you need a structured workflow rather than a one-off answer. Its capabilities are organized into focused skills so you can start broad, then go deeper where the work requires it.
Customer Review Analyzer
Aspect Sentiment Coding
Review Quality And Authenticity Signals
Review Trends And Action Planning
Use cases
→Ask Customer Review Analyzer to apply customer review analyzer to a real project, document, or decision and explain the assumptions it used.
→Ask Customer Review Analyzer to apply aspect sentiment coding to a real project, document, or decision and explain the assumptions it used.
→Ask Customer Review Analyzer to apply review quality and authenticity signals to a real project, document, or decision and explain the assumptions it used.
→Ask Customer Review Analyzer to apply review trends and action planning to a real project, document, or decision and explain the assumptions it used.
Skills included
customer review analyzer
Orchestrate evidence-led analysis of customer reviews, ratings, and public feedback supplied by the user.
What it helps with
Use Customer Review Analyzer to turn a focused Customer Review Analyzer task into a clearer, repeatable workflow.
Example use
Ask Customer Review Analyzer to apply customer review analyzer to a real project, document, or decision and explain the assumptions it used.
Prompt pattern
Use Customer Review Analyzer for [specific goal]. Context: [relevant files, audience, inputs, or constraints]. Return: [desired format] and flag uncertainties.
aspect sentiment coding
Code reviews by product aspect and expressed sentiment while retaining ambiguity and evidence provenance.
What it helps with
Use Aspect Sentiment Coding to turn a focused Customer Review Analyzer task into a clearer, repeatable workflow.
Example use
Ask Customer Review Analyzer to apply aspect sentiment coding to a real project, document, or decision and explain the assumptions it used.
Prompt pattern
Use Aspect Sentiment Coding for [specific goal]. Context: [relevant files, audience, inputs, or constraints]. Return: [desired format] and flag uncertainties.
review quality and authenticity signals
Assess review dataset quality and describe potential manipulation indicators without asserting individual reviews are fraudulent.
What it helps with
Use Review Quality And Authenticity Signals to turn a focused Customer Review Analyzer task into a clearer, repeatable workflow.
Example use
Ask Customer Review Analyzer to apply review quality and authenticity signals to a real project, document, or decision and explain the assumptions it used.
Prompt pattern
Use Review Quality And Authenticity Signals for [specific goal]. Context: [relevant files, audience, inputs, or constraints]. Return: [desired format] and flag uncertainties.
review trends and action planning
Turn review patterns into cautious trend comparisons, response themes, and measurable improvement hypotheses.
What it helps with
Use Review Trends And Action Planning to turn a focused Customer Review Analyzer task into a clearer, repeatable workflow.
Example use
Ask Customer Review Analyzer to apply review trends and action planning to a real project, document, or decision and explain the assumptions it used.
Prompt pattern
Use Review Trends And Action Planning for [specific goal]. Context: [relevant files, audience, inputs, or constraints]. Return: [desired format] and flag uncertainties.
How to use Customer Review Analyzer
1Start with a specific outcome and provide the relevant context.
2Ask the plugin to show its assumptions and structure the result.
3Review the first result, add missing constraints, and request a focused revision.
4Save the final output in the format your workflow needs.
Example prompts
Help me use Customer Review Analyzer to achieve [goal]. Context: [details]. Return [format] and list assumptions.
Apply the Customer Review Analyzer workflow to this input: [paste input]. First explain your approach, then produce the result.
Review this result from Customer Review Analyzer against these criteria: [criteria]. Recommend the smallest improvements.
How to get maximum benefit
Name the audience, goal, inputs, constraints, and output format.
Give the plugin one clear job per request before expanding scope.
Ask it to identify uncertainty rather than filling gaps with guesses.
Review important outputs before publishing or acting on them.
Limitations and safe use
Results depend on the quality and completeness of the context provided.
Review important factual, technical, financial, legal, medical, or public-facing outputs before use.
The plugin should support decisions and workflows, not replace qualified human judgment.
Frequently asked questions
What is Customer Review Analyzer?
Customer Review Analyzer is a business & operations plugin created by The Doers Firm. It includes 4 focused skills for founders, product managers, and operations teams.
How do I get the best results from Customer Review Analyzer?
Give it a specific goal, relevant context, constraints, and a desired output format. Ask it to surface assumptions and revise the result against clear criteria.
