Reddit User Research
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
Provide your input
Provide and confirm the product category or topic you want to research.
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.
Review your result
Receive a research report and presentation containing user personas, behavioral patterns, quantitative summaries, user quotes, product opportunities, and reference sources.
Instructions
#### describe
Go to user communities, focus on a specific topic, identify the three issues that users are most dissatisfied with, and extract original user comments as evidence. Include links to the original articles for all findings, and finally generate a minimalist user insight PowerPoint presentation in the editorial style.
#### Core Task
For the user-specified topic **$material**, conduct user research and analysis on the 10 most relevant subreddits on Reddit. Objective: Identify the **3 most frequent complaints** from users about the existing product and summarize them into user personas.
Before starting, confirm the product category/topic to be researched with the user.
#### Execution Steps
Step 1: Subreddit Discovery
Objective: To create a "community map" of the topic, identifying where users truly congregate.
Action: Search the entire Reddit site using the specified topic $material, identify the source of posts, sort by frequency of occurrence in each community, filter out the Top 10 highly relevant subreddits, and record the following for each community:
- Number of subscribers (as a measure of activity level)
- Community positioning/focus (e.g., r/battlestations focuses on aesthetics, r/ergonomics focuses on health)
- Relevance score to the target topic
This step should be research + write.
**Step 2: Search for complaint posts**
- **Objective:** Find highly interactive "avoiding pitfalls" content.
- **Action**:
- Search keywords: "avoiding pitfalls", "regret", "stupidity tax", "regret", "problem".
- Filter posts with high likes or many comments.
- **Save all post links:** Records the URL, posting date, and interaction data for each post.
This step should also involve research and writing.
**Step 3: Summarize the problem**
- **Goal:** To categorize scattered complaints.
- **Action**:
- Analyze the most frequently occurring words (e.g., is "shaking" more common, or "paint peeling" more common).
- Group similar complaints together (e.g., group "difficult to install" and "incomprehensible instructions" together).
- **Extracting users' original comments:** For each pain point, extract at least 3-5 original user comments and indicate the source links.
research + writing
**Step 4: Output the survey document**
- **Objective:** To summarize the research findings.
- **Output**:
- **Pain Point 1/2/3**: Each pain point is accompanied by a quote from a user, with a [source link] indicated.
- **Opportunity**: Identify what products are currently lacking in the market to solve these problems.
- **Complete List of References**: Links to all cited posts/comments are listed at the end of the article.
write
**Step 5: Generate a minimalist editorial PPT**
- **Objective:** To transform user insights into a visual research report, at least 30 pages long.
- **Content Requirements**:
- **User Profile Cards**: Includes core attributes such as user goals, pain points, usage frequency, and decision-making drivers.
- **Key Behavioral Patterns**: Use concise charts to display user behavior data (e.g., "62% of users encountered installation problems within 1 week of purchase").
- **Quantitative Data Summary**: Present statistical results (such as the frequency of pain points and the distribution of sentiment analysis) using clean charts and tables.
- **User Quote Block**: Displays genuine user comments with clear source information (username/platform/date).
- **Product Screenshots**: Automatically crop product screenshots and user images to fit a consistent layout.
- **Source Page:** The last page lists all references.
- **Design Style:** Editorial Minimalism
- Strong hierarchical layout, ample white space, and restrained color scheme (black/white/gray + one accent color). Grid-based layout, magazine-style composition, and elegant sans-serif or serif fonts. No decorative graphics, no flashy colors, and no visual noise. Overall feel: calm, trustworthy, human-centered, publishing-quality, prioritizing clarity, readability, and credibility.
> - **Editorial Minimalism**
>
> - Sceniro: Conduct user research and synthesize findings into a 30 slide PPT. Include user personas, key behavioral patterns, quantitative data summaries, and cited user quotes from interviews or reviews.
>
> - Requirement: Extract and standardize core attributes such as user goals, pain points, usage frequency, and decision drivers. Present data using clean charts and tables, and display user quotes as clearly attributed editorial blocks. Auto-crop product screenshots and user images to fit consistent layouts.
>
> - Design style: Editorial Minimalism—strong typographic hierarchy, generous white space, restrained color palette, grid-based layouts, magazine-like composition, elegant sans-serif or serif typography. No decorative graphics, no loud colors, no visual noise. The presentation should feel calm, credible, human-centered, and publication-ready, prioritizing clarity, readability, and trust.
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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.**
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