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Reddit User Research

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Description

Like a top market researcher, accurately mine user pain points from the vast discussions on Reddit. Automatically generate editorial-style Slides to gain insights into user sentiments, with real quotes and links.

Best for

Ideal for product teams or market researchers extracting user pain points from Reddit discussions to create insight reports.

How to use this Skill

  1. Provide your input

    Provide and confirm the product category or topic you want to research.

  2. Run the Skill

    Analyzes relevant Reddit communities and high-engagement discussions, summarizes key user pain points, organizes citations and sources, and generates a research document and insight presentation.

  3. Review your result

    Receive a research report and presentation containing user personas, behavioral patterns, quantitative summaries, user quotes, product opportunities, and reference sources.

Instructions

Research
Research
Research
Write
Slides

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Review Insights

# Review Insights **Don't let valuable user feedback get lost in hundreds of reviews.** What hidden pain points lie within product reviews? What do customers love most about your product? Are there ideas for your next best-selling product or content piece hidden in the comment section? Upload comments or paste feedback, and the AI helps you extract **pain points, selling points, and potential needs** from messy user feedback, citing source evidence for every conclusion and generating an intuitive insight chart. **Go beyond summarizing comments to turn user words into actionable insights.** ## What You Get **① Comprehensive User Needs Analysis** Organizes comments into three main categories: - 🔴 **Pain Points**: What are users complaining about? Which issues need improvement? - 🟢 **Selling Points**: What do users truly appreciate? Which advantages are worth highlighting? - 🟡 **Expectations**: What features do users want added? What unmet needs still exist? **② Evidence-Backed Conclusions** Every topic indicates the related comment count, review ID, and authentic quote for easy verification. No making up user thoughts or exaggerating a single comment into a majority opinion. **③ Rare but Severe Issue Detection** Potential safety or serious quality issues like burns, breakage, or allergies are flagged individually even if mentioned in few reviews, preventing them from being buried by positive feedback. **④ Actionable Next Steps** Provides product improvement, selling point refinement, and content topic suggestions based on review evidence, along with the reasoning for each recommendation. **⑤ User Insight Chart** Automatically organizes key findings into a visual diagram showing pain points, selling points, expectations, and comment counts for easy review and sharing. ## Who Is This For? **🛍️ E-Commerce Sellers** Analyze your own or competitor reviews to find quality issues, recognized selling points, and new product development opportunities. **📱 Content Creators** Organize video comment sections to understand viewer interests and find direction for future content. **📊 Product Managers & Operations** Prioritize issues and product improvements from app reviews, survey feedback, and user messages. **💡 Entrepreneurs & Product Selectors** Discover unmet consumer needs through authentic reviews to inform product positioning and selection. ## How to Use 1. Paste comments or upload Excel, CSV, or text format review data. 2. Optionally specify a goal, such as "find product flaws," "extract selling points," "analyze competitors," or "find video topics." 3. The AI organizes comments, categorizes themes, cites evidence, and offers suggestions. 4. Generate an insight chart to help you quickly understand key findings. ## Tips - More complete comments and sufficient samples generally provide more valuable analysis. - Opinions in comments do not necessarily represent all consumers. - Duplicate comments, unhelpful messages, and sample limitations will be noted during analysis. - Direct quotes are for evidence verification; ensure compliance with platform rules and privacy requirements before public commercial use. - AI statistics and chart text may contain minor errors; important conclusions should be cross-checked with raw data. --- **Turn every authentic review into a clue for product improvement, creative inspiration, and a more persuasive selling point.**

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Information

Version
v2
Last updated
Runtime credits
Usage-based
Models
Claude Sonnet 4.5
Use cases
Presentations & reportingResearch & analysisBusiness & strategy
What you get
ReportDocumentSlides
Visual styles
MinimalistEditorial
Capabilities
Web research

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Reddit User Research