Reddit Research Workflow

Turn Reddit into a structured market research engine — mine subreddits for pain points, trending topics, and competitor intelligence, all automated via OpenClaw Ultra.

Core System Overview

This is a closed-loop Reddit research system that converts raw Reddit discussions into actionable insights. From subreddit monitoring to sentiment analysis to report generation, everything runs autonomously.

System Layer	Core Function	Output Result
Intelligence Layer	Subreddit discovery, keyword tracking, trend identification	High-signal subreddit & topic list
Mining Layer	Post & comment scraping, sorting by relevance/virality	Structured raw data with metadata
Analysis Layer	Pain point extraction, sentiment analysis, topic clustering	Thematic insight clusters
Competitor Layer	Brand mentions, product discussions, sentiment breakdown	Competitive landscape report
Content Layer	Question-answer pairs, popular thread summaries	Ready-to-use content briefs
Reporting Layer	Daily/weekly digest, trend alerts, export to knowledge base	Scheduled deliverables

Prerequisites

Item	Requirement
OpenClaw Ultra	Installed and running
Reddit Readonly Skill	reddit-readonly — no auth needed
Knowledge Base Skill (Optional)	knowledge-base for saving research output

Step 0 — Initialize Research System

Set up OpenClaw Ultra as your dedicated Reddit research analyst.

Operation Steps

1. Open OpenClaw Ultra new chat session
2. Install the reddit-readonly skill
3. Paste the initialization prompt

Ready-to-Use Prompt

Act as my dedicated Reddit research analyst.

I want to monitor and research: [your niche/industry/topic]

Build a Reddit research system that:
- finds the most active subreddits in my niche
- tracks trending discussions daily
- extracts user pain points and questions
- identifies competitor mentions
- delivers structured reports on schedule

Step 1 — Discover High-Signal Subreddits

Find the most active and relevant subreddits for your niche.

Prompt

Search Reddit for the most active subreddits related to: [niche]

For each subreddit, analyze:
- subscriber count & weekly post volume
- content quality (discussion vs memes vs spam)
- audience demographics (casual vs professional)
- recurring topic patterns

Rank them by research value and recommend the top 5 to monitor.

INFO

Output: Curated subreddit watchlist ranked by signal-to-noise ratio for your niche.

Step 2 — Configure Daily Topic Mining

Automatically pull trending posts and comments from your watchlist.

Prompt

Set up daily monitoring for these subreddits:
[list from Step 1]

Every day at [time], scan each subreddit for:
- top 10 hot posts with engagement metrics
- top 5 rising posts with growth potential
- top 20 most engaged comments per post

For each post, capture:
- title, URL, upvote ratio, comment count
- top 5 comments with sentiment
- any pain points or questions asked

Store results in my research memory.

Operation Prompt (One-Time)

Run an immediate scan of these subreddits: [list]
Output a full report of today's trending content.

Step 3 — Extract Pain Points & Opportunities

Transform raw Reddit data into structured market insights.

Prompt

Analyze the collected Reddit data from [source/timeframe].

Extract and categorize:
- Pain Points: problems users are actively complaining about
- Questions: unanswered questions with high engagement
- Requests: "Is there a tool that..." or "I wish..." type posts
- Trends: topics gaining momentum in the last 7 days

Group findings by theme and assign a priority score (1-10) based on:
- frequency of mention
- engagement level
- commercial opportunity

WARNING

Focus on patterns, not one-off complaints. A pain point mentioned across 5+ threads is signal; one mention is noise.

Step 4 — Competitive Intelligence

Monitor how your competitors are being discussed on Reddit.

Prompt

Search Reddit for mentions of these competitors/brands:
[list your competitors]

Analyze:
- sentiment (positive/negative/neutral) per mention
- common complaints about each competitor
- features users wish they had
- comparison threads (X vs Y)

Output a competitive landscape table:
| Competitor | Mention Count | Sentiment | Top Complaint | User Wish |

Step 5 — Generate Content Briefs

Turn Reddit discussions into ready-to-use content ideas.

Prompt

From the collected Reddit research, generate content briefs:

For each brief include:
- Content Angle: the specific pain point or question to address
- Target Audience: who this content serves
- Suggested Format: blog post, video, tweet thread, tool
- Key Points to Cover: extracted from top comments
- Title Ideas: 3-5 high-CTR title candidates
- Related Subreddit: where to promote it

Output top 10 content briefs sorted by commercial potential.

Step 6 — Schedule Automated Reports

Set recurring delivery of research findings.

Prompt

Set up a recurring research report schedule:

- Daily Digest (9 AM): top 5 trending posts + pain points found today
- Weekly Report (Monday 8 AM): full analysis with trends, competitors, content briefs
- Alert: notify me when any post about [keyword/topic] hits 100+ upvotes

Deliver reports via: [Telegram / email / saved to knowledge base]

Step 7 — Sync Findings to Knowledge Base

Persist research output for long-term reference and cross-workflow use.

Prompt

Save all Reddit research findings to my knowledge base:
- tag by subreddit, topic, and date
- link related findings across different subreddits
- make searchable by keyword, sentiment, and priority score

When I ask "what are users complaining about in [topic]", search the knowledge base first before scanning Reddit again.

Final Closed-Loop Research Workflow

Subreddit Discovery → Topic Mining → Pain Point Extraction →
Competitive Intel → Content Brief Generation → Report Delivery →
Knowledge Base Sync → Next Cycle

Practical Usage Tips

1. Start with 3-5 subreddits, expand once the system is stable
2. Use pain point findings as input for your SEO Content Workflow or Email Outreach sequences
3. Set up Telegram delivery for real-time trend alerts
4. Review weekly reports on Monday to plan content for the week