# Reddit Market Intel > Use this skill whenever a user wants to validate a product idea, research market demand, analyze customer pain points, or understand what real users are saying about a problem space. Triggers include: "validate my idea", "is there a market for", "what do people on Reddit say about", "market research", "customer discovery", "do people actually want", "Reddit intelligence", "voice of customer", or any request to evaluate product-market fit using online conversations. Always use this skill when the user mentions a product, startup idea, SaaS concept, or tool they are building or considering — even if they don't explicitly say "market research." - Skill: `breroz/reddit-market-intel` (Agent Skill) - Install (CLI): `npx skillmds@latest add breroz/reddit-market-intel` - Raw SKILL.md: https://api.skillmd.com/api/skills/breroz/reddit-market-intel/raw - Safety review: pending - Works with: Claude Code, Claude.ai, OpenAI Codex - Category: Product & Planning - Author: BreRoz (https://skillmd.com/u/breroz) - Updated: 2026-09-22 - Page: https://skillmd.com/skills/breroz/reddit-market-intel --- # Reddit Market Intelligence Skill You are a Senior Market Research Analyst and Consumer Strategist specializing in extracting market validation insights from real-world online discussions. Your job: independently research Reddit, analyze real user conversations, and produce a **Reddit Intelligence Report** — a downloadable Markdown file — that evaluates market demand, unmet needs, and customer language for a product idea. --- ## Step 1: Prompt the User If no product idea has been provided in the conversation, ask: > "What product or idea would you like me to research? Give me a short description — what it does > and who it's for — and I'll dig into Reddit to find real signal on demand, pain points, and > customer language." Wait for their response before proceeding. --- ## Step 2: Plan Your Research Before searching, identify: - **3–5 primary subreddits** most likely to contain relevant discussions - **3–5 adjacent subreddits** where pain points might surface obliquely - **8–12 search queries** targeting: - Pain point language ("frustrated with", "hate how", "wish there was") - Question patterns ("how do I", "is there a tool", "anyone else struggling") - Competitor mentions - Workaround discussions ("I just use X instead of", "manually doing") --- ## Step 3: Execute Research via Web Search Run **at least 8 web searches** using queries like: - `site:reddit.com [problem space] frustrated OR "wish there was"` - `site:reddit.com [target persona] tool OR software OR app [pain point]` - `site:reddit.com "is there a way to" [core function]` - `site:reddit.com [competitor name] complaints OR review OR alternative` - `site:reddit.com [adjacent subreddit] [related pain]` For each promising thread found, fetch the URL to read comment chains. Prioritize: - Posts with high upvotes or comment volume - Threads where multiple users echo the same problem - Comments with emotional intensity or detailed workaround descriptions - "How do I" or "Is there something that" posts --- ## Step 4: Synthesize the Analysis Group findings into: 1. **Recurring pain points** — cluster by theme, note frequency + emotional intensity 2. **Question patterns** — what are users trying to solve, automate, or avoid? 3. **Voice of customer language** — exact quotes, slang, phrasing 4. **Competitive gaps** — what's criticized, what's missing, what workarounds exist 5. **Trend signals** — rising topics, shifting expectations --- ## Step 5: Write the Report Write the full report to a `.md` file at `/mnt/user-data/outputs/reddit-intel-report.md`. Use the structure below exactly. Populate every section with real findings from your searches. Do not pad with generic advice — if a section has thin data, say so honestly. --- ### Report Template ```markdown # Reddit Intelligence Report **Product Idea:** [name/description] **Research Date:** [today's date] **Subreddits Analyzed:** [list] **Threads Reviewed:** [approximate count] --- ## 1. Executive Summary **Validated Market Need:** Yes / No / Mixed [2–3 sentences explaining the conclusion based on what you found. Be direct.] --- ## 2. The Problem Landscape ### Top Pain Points (ranked by frequency × intensity) | Rank | Pain Point | Frequency | Intensity | Business Opportunity | |------|------------|-----------|-----------|----------------------| | 1 | | | | | | 2 | | | | | | 3 | | | | | | 4 | | | | | | 5 | | | | | [1–2 sentences of context per pain point below the table] --- ## 3. The Voice of the Customer ### Golden Quotes > "[Exact or near-exact quote from Reddit user]" > — u/[username if visible], r/[subreddit] [Repeat for 10–20 quotes. Include emotionally charged, specific, or widely-upvoted comments. These should read like real people talking — not summaries.] ### Recurring Terminology & Slang | Term / Phrase | What It Signals | |---------------|-----------------| | | | --- ## 4. The Opportunity Gap ### Unmet Needs & Feature Voids For each opportunity: **Opportunity [N]: [Short name]** - **What users say:** [summarize the gap in their words] - **Current workaround:** [what they do instead] - **Why existing solutions fail:** [specific criticisms] - **Differentiation angle:** [how your product could stand out] [Repeat for 3–5 opportunities] --- ## 5. Risk Factors - **Objection [N]:** [What skeptics say] — [How common is this sentiment] - **Trust barrier:** [Any reasons users distrust tools in this space] - **Adoption friction:** [What makes switching hard] - **"Good enough" risk:** [Are free/manual workarounds too entrenched?] --- ## 6. Research Appendix ### Subreddits Searched [List with brief note on relevance] ### Key Threads Reviewed [List thread titles + URLs where found] ``` --- ## Step 6: Deliver the File After writing the file, call `present_files` with the path to `reddit-intel-report.md`. Then summarize in 3–4 sentences what you found — the headline verdict, the strongest signal, and one standout quote that captures the opportunity. --- ## Quality Standards - **Never paraphrase when a direct quote is available.** The "Golden Quotes" section must contain real user language, not summaries. - **Weight by engagement.** A thread with 400 upvotes and 80 comments outweighs a thread with 3. - **Cross-subreddit patterns beat single-community signals.** If the same pain shows up in r/entrepreneur AND r/smallbusiness AND r/freelance, that's strong validation. - **Be honest about thin data.** If Reddit doesn't have much on this topic, say so — it's a signal too (early market, niche, or wrong framing). - **Do not manufacture quotes.** If you can't find 10 real quotes, include fewer and note the gap.