Introduction

Your product reviews are sitting there, packed with insights about what’s working, what’s not, and what your customers actually care about. But let’s be honest, who has time to read through hundreds (or thousands) of reviews to find the patterns?

That’s where AI comes in. If you’re new to using AI tools like ChatGPT, here’s the quick version: these are large language models (LLMs) that can read and analyze text at scale, finding patterns that would take humans hours or days to spot. Unlike search engines that just retrieve existing information, LLMs actually analyze your data and provide insights in conversational responses. You upload your review data, ask questions using prompts, and get back analysis, summaries, and recommendations.

We’ve put together 9 copy-paste prompts that’ll help you mine your reviews for gold.

Want to go deeper? Check out our AI Marketing Resource Hub for 100+ prompt templates, guidance on using AI across all your marketing channels, and tips on avoiding common AI pitfalls like bias and hallucinations.

How These Prompts Work

Unlike simple one-line questions, these prompts are structured to give AI everything it needs to deliver genuinely useful insights:

• Situation: Sets the context for why you’re analyzing this data
• Task: Tells the AI exactly what to look for
• Objective: Clarifies what you’ll do with the insights
• Knowledge: Specifies where to look and what to prioritize
• Output Format: Structures the response so it’s immediately actionable

This means you’ll get thorough, prioritized insights instead of generic summaries. Just copy the entire prompt, paste it into your AI tool after uploading your reviews, and let it work.

Product Intelligence & Roadmap Planning

1. The “Wish I Knew” Analysis

Situation
You are analyzing customer feedback to identify gaps between customer expectations and their actual product experience. Customers have completed their purchase and used the product, and are now reflecting on information they wish had been more clearly communicated before buying.

Task
Review available customer feedback, reviews, and post-purchase communications to identify specific details, specifications, limitations, or features that customers explicitly state they “wish they had known” before purchasing. Create a prioritized list of these details that should be highlighted more prominently in the product description.

Objective
Improve pre-purchase transparency and set accurate customer expectations by surfacing critical product information that is currently under-communicated, thereby reducing post-purchase dissatisfaction and returns while building customer trust.

Knowledge
Focus on extracting insights from:

• Customer reviews mentioning “wish I knew,” “didn’t realize,” “surprised that,” or similar phrases
• Return reasons and customer service inquiries about unexpected product characteristics
• Post-purchase survey responses indicating mismatched expectations
• Common questions asked after purchase that should have been answered before

Prioritize details related to:

• Physical specifications (size, weight, dimensions, materials)
• Compatibility requirements or limitations
• Setup complexity or time requirements
• Maintenance needs or ongoing costs
• Performance limitations or ideal use cases
• What is NOT included with the product

Output Format
Structure your response as follows:

• Critical Details to Highlight (Top 3-5 items)

1. 1. • [Detail]: [Why customers wish they knew this] – [Recommended placement/emphasis]

• Important Specifications (3-5 items)

1. 1. • [Detail]: [Customer expectation vs. reality] – [How to communicate clearly]

• Usage Considerations (2-4 items)

1. 1. • [Detail]: [Common misconception] – [Clarification needed]

• Compatibility & Requirements (if applicable)

1. • [Detail]: [What customers assumed vs. actual requirement]

For each item, be specific about what language or formatting would make the information more noticeable in the product description.

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2. Quality Control & Defect Pattern Detection

Situation
You are a quality assurance analyst reviewing customer feedback to identify potential manufacturing defects, quality control issues, or product inconsistencies that may indicate systemic problems in production, shipping, or storage.

Task
Analyze customer reviews and feedback to detect patterns that suggest quality control failures, manufacturing defects, or batch-specific issues. Distinguish between user error, design limitations, and actual product defects. Flag any patterns that indicate urgent quality issues requiring immediate investigation.

Objective
Identify and prioritize quality issues that could lead to product recalls, increased returns, customer safety concerns, or brand reputation damage. Provide actionable intelligence for production, quality assurance, and operations teams to investigate and resolve.

Knowledge
Look for patterns in:

• Defects appearing consistently across multiple units (not isolated incidents)
• Issues emerging after a specific date (potential batch problem)
• Problems occurring within specific timeframes after purchase (e.g., “failed after 2 weeks”)
• Inconsistencies between units of the same product (color variations, sizing differences, missing components)
• Damage patterns that suggest shipping or packaging problems vs. manufacturing issues
• Safety-related concerns or product failures during normal use

Distinguish between:

• Manufacturing defects (consistent flaws, missing parts, incorrect assembly)
• Material quality issues (premature wear, discoloration, material breakdown)
• Design flaws (inherent limitations affecting all units)
• User error or misuse (problems from improper use)

Output Format

1. Urgent Issues Requiring Immediate Action
   • [Issue]: [Frequency] – [Potential cause] – [Risk level] – [Recommended immediate response]
2. Recurring Quality Concerns
   • [Issue]: [Pattern description] – [Affected percentage] – [Trend over time] – [Investigation priority]
3. Batch or Timeline-Specific Issues
   • [Issue]: [Date range or batch indicator] – [Number of reports] – [Hypothesis for cause]
4. Design vs. Defect Analysis
   • [Issue]: [Classification: design limitation or defect] – [Reasoning] – [Recommended fix]

Include specific customer quotes that illustrate each issue and note any safety-related concerns separately.

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3. Feature Request & Product Evolution Roadmap

Situation
You are a product manager analyzing customer feedback to understand what features, improvements, or product variations customers are requesting. Your goal is to identify which requests align with business strategy and would have the highest impact on customer satisfaction and retention.

Task
Extract all feature requests, improvement suggestions, and product variation ideas from customer reviews. Categorize them by type, frequency, and urgency based on customer language. Identify which requests solve real pain points versus nice-to-have additions. Cross-reference requests with customer segments to understand who is asking for what.

Objective
Build a data-driven product roadmap that prioritizes features based on actual customer demand, business impact potential, and strategic alignment. Reduce guesswork in product development by understanding what customers actually want versus what we assume they want.

Knowledge
Analyze reviews for:

• Explicit feature requests (“I wish this had…”, “It would be perfect if…”, “The only thing missing is…”)
• Workarounds customers created (signals unmet needs)
• Comparisons to competitor products highlighting missing features
• Requests appearing across different customer segments
• Features mentioned in both positive and negative reviews
• Suggestions from power users vs. casual users

Categorize requests by:

• Product enhancements (improving existing features)
• New features (adding entirely new capabilities)
• Product variations (size, color, material options)
• Accessory or complementary product ideas
• Integration or compatibility requests

Output Format

1. High-Impact Feature Requests (Top 5)
   • [Feature]: [Request frequency] – [Customer segments requesting] – [Business case] – [Estimated impact on satisfaction]
2. Product Variations & Options
   • [Variation]: [Demand level] – [Specific use case] – [Revenue opportunity] – [Implementation complexity]
3. Quick Wins (Low effort, high value)
   • [Improvement]: [Why customers want it] – [Implementation ease] – [Expected satisfaction boost]
4. Ecosystem Opportunities (Accessories/complementary products)
   • [Product idea]: [Customer need it solves] – [Market potential] – [Strategic fit]
5. Segment-Specific Requests
   • [Customer segment]: [Unique features they’re requesting] – [Why this matters for retention]

For each request, include representative customer quotes and note whether the request came from promoters (5-star reviews) or detractors (1-3 star reviews).

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Customer Experience & Operations

4. Shipping, Packaging & Delivery Experience Audit

Situation
You are analyzing customer feedback about their end-to-end delivery experience, from order placement through unboxing. This includes shipping speed, carrier performance, package condition, and packaging quality. Your goal is to identify operational improvements that reduce damage, improve satisfaction, and optimize costs.

Task
Extract and categorize all feedback related to the delivery experience. Identify patterns in carrier performance, packaging adequacy, shipping speed expectations, and unboxing experience. Flag any issues that result in damaged products, poor first impressions, or customer service contacts.

Objective
Optimize the delivery experience to reduce returns, damages, and customer service inquiries while improving first impressions and unboxing satisfaction. Identify specific operational changes (carrier switches, packaging improvements, expectation-setting) that will have measurable impact.

Knowledge
Review feedback about:

• Shipping speed (faster/slower than expected, impact on satisfaction)
• Specific carrier mentions (USPS, UPS, FedEx, regional carriers) and their performance
• Package condition on arrival (crushed boxes, damaged products, missing items)
• Tracking information quality and accuracy
• Packaging materials and protection level (over-packaged, under-packaged, eco-friendly requests)
• Special considerations for delicate, temperature-sensitive, or fragile products
• Unboxing experience (presentation, ease of opening, waste concerns)
• International shipping feedback (customs issues, delivery delays, additional costs)

Differentiate between:

• Carrier-caused issues (delivery delays, package mishandling)
• Packaging design problems (insufficient protection, difficult to open)
• Expectation-setting issues (unclear delivery windows, poor tracking)
• Seasonal or regional patterns (holiday delays, weather-related issues)

Output Format

1. Carrier Performance Analysis
   • [Carrier name]: [Satisfaction rating based on reviews] – [Common issues] – [Geographic patterns] – [Recommendation: keep/switch/test alternative]
2. Packaging Improvements Needed
   • [Issue]: [Frequency] – [Product damage rate] – [Root cause] – [Specific packaging solution] – [Estimated cost impact]
3. Speed & Expectation Management
   • [Current vs. expected delivery time]: [Impact on satisfaction] – [Customer segment most affected] – [Communication improvements needed]
4. Premium Product Considerations
   • [Special handling needs]: [Current approach vs. customer expectations] – [Investment required] – [Impact on perceived value]
5. Sustainability & Waste Concerns
   • [Packaging feedback]: [Customer sentiment] – [Brand alignment opportunity] – [Implementation options]

Include cost-benefit analysis for recommended changes and prioritize fixes that reduce returns and damages.

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5. Customer Service Intelligence & Pain Point Mapping

Situation
You are analyzing customer reviews that mention interactions with customer service, support experiences, or situations where customers needed help. Your goal is to understand where customers struggle, how well support is resolving issues, and what self-service improvements could reduce support burden.

Task
Identify all mentions of customer service interactions, common questions customers ask post-purchase, and situations where customers got stuck or confused. Evaluate both the quality of support provided and the underlying issues that necessitated support. Map the customer journey to find friction points where better product design, documentation, or proactive communication could prevent support needs.

Objective
Reduce customer service volume by addressing root causes of common issues, improve customer service quality where needed, and identify opportunities for self-service resources (FAQs, videos, better instructions) that empower customers to solve problems independently.

Knowledge
Analyze reviews for:

• Direct mentions of customer service interactions (positive and negative)
• Specific team members mentioned by name (highlight both great and poor experiences)
• Common questions customers had to ask support (“I had to contact them about…”)
• Issues customers couldn’t resolve on their own
• Response time feedback (too slow, surprisingly fast)
• Resolution quality (problem solved, partial solution, unresolved)
• Tone and helpfulness of support interactions
• Self-service attempts that failed (“instructions weren’t clear,” “couldn’t find information”)

Categorize support needs by:

• Preventable issues (better instructions, packaging, communication)
• Product confusion (unclear features, missing documentation)
• Defects and quality issues (legitimate problems requiring resolution)
• User error (education opportunities)
• Policy questions (returns, warranties, shipping)

Output Format

1. Top Support Contact Reasons (Preventable)
   • [Issue]: [Frequency] – [Current resolution process] – [Prevention strategy] – [Potential volume reduction]
2. Customer Service Performance Insights
   • [Positive patterns]: [What’s working well] – [Team members to recognize] – [Practices to scale]
   • [Negative patterns]: [Common complaints] – [Response time issues] – [Training opportunities]
3. Self-Service Opportunities
   • [FAQ topic]: [Question volume] – [Current resource gaps] – [Content format recommendation] – [Expected impact]
4. Product & Documentation Improvements
   • [Confusion point]: [Why customers struggle] – [Better instructions needed] – [Packaging/insert changes] – [Video tutorial opportunity]
5. Policy & Communication Gaps
   • [Misunderstanding]: [Customer expectation vs. actual policy] – [Where to clarify] – [Language improvements]

Prioritize changes by potential support volume reduction and customer satisfaction impact.

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Marketing & Messaging Optimization

6. Marketing Claims vs. Reality Alignment Audit

Situation
You are evaluating whether your marketing messages, product descriptions, advertising claims, and brand promises align with actual customer experiences. Misalignment creates disappointment, returns, and negative reviews, while strong alignment builds trust and advocacy.

Task
Compare what customers expected based on marketing (explicit and implied promises) with what they actually experienced. Identify gaps where marketing overpromises, undersells, or creates incorrect expectations. Find opportunities where actual product performance exceeds marketing claims but isn’t being highlighted.

Objective
Eliminate expectation mismatches that drive returns and negative reviews while identifying undermarketed strengths that could improve conversion and differentiation. Create a list of marketing message adjustments that will improve customer satisfaction without sacrificing conversion rates.

Knowledge
Look for customer language indicating:

• “Not as advertised” or “misleading” claims
• Specific marketing promises mentioned in reviews (“the website said,” “the ad showed”)
• Positive surprises (“better than expected,” “undersold in description”)
• Photo vs. reality discrepancies (size, color, appearance)
• Performance claims not matching experience (durability, effectiveness, ease of use)
• Lifestyle marketing vs. practical reality (aspirational vs. actual use cases)
• Comparison to competitor products where expectations were set incorrectly
• Feature emphasis misalignment (marketing highlights features customers don’t care about)

Categorize issues as:

• Overpromises (marketing claims too strong)
• Unclear communication (technically accurate but confusing)
• Undermarketing (strengths not highlighted)
• Visual misrepresentation (photos don’t match product)
• Wrong audience targeting (attracting wrong customers)

Output Format

1. Critical Misalignments to Fix Immediately
   • [Marketing claim]: [Customer reality] – [Impact on satisfaction] – [Recommended messaging change] – [Where this appears]
2. Undermarketed Strengths (Hidden gems)
   • [Actual product strength]: [How often customers mention it] – [Current marketing emphasis] – [Opportunity to highlight] – [Potential conversion impact]
3. Visual & Presentation Adjustments
   • [Current imagery/description]: [Customer expectation created] – [Actual experience] – [Better representation approach]
4. Audience Targeting Insights
   • [Customer segment attracted by current marketing]: [Satisfaction level] – [Better-fit audience] – [Messaging adjustments needed]
5. Feature Emphasis Rebalancing
   • [Currently emphasized]: [Customer care level] – [Should emphasize instead]: [Why customers actually buy] – [Messaging priority shift]

For each recommendation, specify whether this is a product page change, ad copy adjustment, photography update, or broader brand messaging shift.

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7. Testimonial & Social Proof Mining

Situation
You are searching for authentic, compelling customer testimonials that can be used in marketing materials, product pages, email campaigns, and advertising. Generic positive reviews don’t convert—you need specific, story-driven testimonials that address objections, highlight transformations, and resonate emotionally with prospects.

Task
Identify the most marketing-worthy testimonials across different use cases, customer segments, and buying objections. Find reviews that tell stories, show before-and-after transformations, overcome specific hesitations, or demonstrate unexpected benefits. Organize testimonials by the marketing context where they’d be most effective.

Objective
Build a library of high-performing testimonials that can be deployed strategically across the customer journey—from awareness to consideration to conversion. Ensure testimonials address real buying objections and showcase diverse customer experiences that prospects can relate to.

Knowledge
Identify reviews that include:

• Specific outcomes or transformations (before/after language)
• Emotional language and authentic enthusiasm
• Objections the customer had before buying and how the product addressed them
• Comparison to alternatives they considered
• Unexpected benefits or use cases they discovered
• Detailed descriptions of how the product solved a problem
• Context about the customer’s situation (who they are, why they needed this)
• Gift purchases with recipient reactions
• Repeat purchase behavior or strong loyalty signals
• Recommendations to specific types of people (“perfect for…”)

Organize testimonials by:

• Primary use case or benefit highlighted
• Customer segment or persona
• Buying objection addressed (price, quality, effectiveness, skepticism)
• Stage of customer journey (awareness, consideration, decision)
• Marketing channel fit (long-form for email, punchy for ads, detailed for product pages)

Output Format

1. Hero Testimonials (Top 5 most compelling overall)
   • [Customer quote]: [Why this is powerful] – [What objection/desire it addresses] – [Best placement] – [Customer segment]
2. Use Case Champions (Organized by use case)
   • [Use case]: [Best testimonial] – [Supporting quotes] – [Where to deploy]
3. Objection Crushers
   • [Common objection]: [Testimonial that addresses it] – [How to frame this in marketing] – [Customer credibility factors]
4. Transformation Stories
   • [Before state]: [After state with customer’s words] – [Emotional impact] – [Campaign opportunity]
5. Segment-Specific Social Proof
   • [Customer segment]: [Most relatable testimonials for this group] – [Targeting strategy]
6. Gift-Giving Testimonials
   • [Quote]: [Recipient reaction] – [Occasion] – [Holiday/seasonal campaign fit]

For each testimonial, note whether you’ll need to request permission for marketing use and suggest specific marketing placements (product page quote, email campaign, ad copy, social post).

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Competitive Intelligence & Market Positioning

8. Competitive Comparison & Differentiation Analysis

Situation
You are analyzing customer reviews to understand how your product compares to alternatives in the market. Customers often mention competitor products, past purchases, or comparisons they made during their buying journey. This intelligence reveals your true competitive advantages and vulnerabilities.

Task
Identify all mentions of competitor brands, alternative products, or comparison shopping experiences. Understand why customers chose your product over alternatives, what trade-offs they made, and where competitors might be winning on specific dimensions. Map your competitive positioning based on actual customer perception, not just internal beliefs.

Objective
Refine your competitive positioning and messaging to emphasize true differentiators that matter to customers. Identify competitive threats that need addressing and opportunities to steal market share from specific competitors. Build marketing messages that speak to comparison shoppers effectively.

Knowledge
Look for reviews mentioning:

• Specific competitor brands by name
• Comparisons to previous products customers owned
• Why they switched from another brand to yours
• Why they chose you over alternatives they considered
• Specific attributes compared (price, quality, features, customer service)
• Regrets about not choosing a competitor (rare but valuable)
• Multiple product ownership (customers who own both yours and competitors’)
• Price-value comparisons (“more expensive but worth it” or “better deal than X”)

Analyze competitive dimensions:

• Quality perception (better/worse materials, construction, durability)
• Price positioning (premium, value, comparable)
• Feature sets (what you have that they don’t, what they have that you don’t)
• Customer service and brand experience
• Specific use case performance (which product is better for what)

Output Format

1. Win Reasons (Why customers chose you)
   • [Reason]: [Competitor you’re beating] – [Frequency] – [Customer language to use in marketing] – [Messaging opportunity]
2. Competitive Vulnerabilities
   • [Dimension]: [Competitor performing better] – [Impact level] – [Customer quotes] – [Recommended response]
3. Head-to-Head Competitor Analysis
   • [Competitor name]: [Your advantages vs. them] – [Their advantages vs. you] – [Customer segment most affected] – [Strategic recommendation]
4. Switching Patterns
   • [Brand customers switch from]: [Why they left them for you] – [Messaging to attract more switchers]
5. Price-Value Positioning Insights
   • [Customer perception]: [Price sensitivity vs. quality expectations] – [Whether positioning needs adjustment] – [Competitive pricing context]

For each competitor mentioned, note whether they’re a direct substitute or serve a different use case, and identify if there’s a customer segment where head-to-head competition is most intense.

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Customer Segmentation & Personalization

9. Customer Segment & Persona Deep-Dive

Situation
You are analyzing customer reviews to identify distinct customer segments based on how they use your product, what they care about, and what drives their satisfaction. Different customers buy for different reasons and judge success differently—understanding these segments enables better targeting, messaging, and product development.

Task
Identify distinct customer segments based on use cases, priorities, language patterns, and satisfaction drivers. Go beyond demographics to understand behavioral and psychographic differences. Determine what each segment cares about most, what would make them happier, and how to communicate with them effectively.

Objective
Build actionable customer personas grounded in actual behavior and feedback, not assumptions. Enable personalized marketing, product recommendations, and customer experiences tailored to each segment’s needs and preferences. Identify underserved segments and over-served segments.

Knowledge
Segment customers based on:

• Primary use case or job-to-be-done (“I bought this to…”)
• Experience level (beginners vs. experts in this product category)
• Purchase context (gift buyers, repeat customers, first-time buyers)
• Values and priorities (price-conscious, quality-focused, sustainability-minded, convenience-driven)
• Usage intensity (daily users, occasional users, seasonal users)
• Life context mentioned (parents, professionals, hobbyists, students)
• Problem being solved (practical vs. aspirational purchases)
• Success metrics (what makes them satisfied vs. disappointed)

Analyze segment differences in:

• Satisfaction levels (which segments are happiest)
• Feature priorities (what matters most to each)
• Price sensitivity
• Common complaints or friction points
• Loyalty and repeat purchase behavior
• Language and communication style
• Information needs (detailed specs vs. simple benefits)

Output Format

1. Primary Customer Segments (3-5 distinct groups)
   • [Segment name]: [Defining characteristics] – [Primary use case] – [Percentage of customers] – [Satisfaction level] – [Key motivations]
2. Segment-Specific Needs & Pain Points
   • [Segment]: [What they care about most] – [Common complaints] – [Unmet needs] – [Retention risk factors]
3. Marketing & Messaging by Segment
   • [Segment]: [Language they use] – [Values that resonate] – [Objections to address] – [Best channels] – [Creative direction]
4. Product Opportunities by Segment
   • [Segment]: [Product variations or features they’d pay for] – [Market size] – [Revenue opportunity]
5. Underserved vs. Over-served Analysis
   • [Underserved segment]: [Why they’re underserved] – [Opportunity to capture] – [Investment needed]
   • [Over-served segment]: [Whether you’re over-investing here] – [Reallocation opportunity]

For each segment, include representative customer quotes and describe the “perfect customer journey” for that segment from awareness to advocacy.

How to Get the Most from These Prompts

Provide context first: Before diving into analysis, give the AI context about your brand, your role, and what you’re trying to accomplish. For example: “I’m the head of product for a sustainable activewear brand with 5,000+ customers. I’m analyzing reviews to prioritize our Q1 product roadmap.” This helps the AI tailor its analysis to your specific needs.

Prep your data right: Export your reviews with as much detail as possible—star ratings, dates, verified purchase status, and the full review text. The more context the AI has, the better insights you’ll get.

Focus on recent reviews: While historical data is valuable, your most recent 100-200 reviews will give you the most actionable insights for immediate improvements.

Look for the surprises: Sometimes the most valuable insights are the ones you weren’t looking for. If the AI surfaces something unexpected, dig deeper.

Want more AI prompts for retention? We created a Post-BFCM Retention Scorecard that helps you evaluate your retention strategy past the critical 30-day mark. It includes benchmarks, quick-win tactics, and AI prompts specifically designed to analyze your retention performance and customer behavior patterns. Perfect for pairing with these review analysis prompts to get a complete picture of your customer experience.

Turn Insights Into Action with Stamped

Here’s the thing about review analysis: it only works if you have reviews to analyze. And the more quality reviews you collect, the more reliable your insights become.

That’s exactly what Stamped helps DTC brands do. Our platform makes it easy to collect more reviews through automated email and SMS campaigns, photo and video review incentives, and optimized review request timing. But we don’t stop at collection.

Stamped helps you maximize your reviews across your entire customer journey:

• Display reviews where they matter most—not just on product pages, but in ads, emails, and social proof widgets
• Leverage AI-powered insights directly in our platform to understand sentiment and trends
• Syndicate reviews to Google, Meta, and other channels to boost visibility

The brands seeing the biggest impact are using them strategically across every touchpoint. And with better data comes better decisions.

Ready to Level Up Your Review Strategy?

If you’re serious about turning customer feedback into fuel for growth, let’s talk. Our team can show you exactly how Stamped helps brands like yours collect more reviews and use them more effectively.

Book a demo and we’ll walk you through how brands in your industry are using reviews to drive real business results.