Documentation

Complete guide to using RedditSense for maximum business intelligence

Quick Start Guide

Get up and running with RedditSense in under 5 minutes.

Step 1: Create Your Account

Sign up for a free account - no credit card required. You'll get 5 free analyses to start exploring.

Visit signup.php → Enter email & password → Verify email → Start analyzing!

Step 2: Your First Analysis

From your dashboard, enter a subreddit name and ask a question in plain English.

Example: "What are the main complaints about project management tools in r/entrepreneur?"

Step 3: Review Results

Our AI will analyze thousands of posts and comments, providing insights in seconds.

Get sentiment analysis, trending topics, key quotes, and actionable insights

Dashboard Overview

🏠 Main Dashboard

  • • View your recent analyses
  • • Track monthly usage
  • • Quick access to new analysis
  • • Account status overview

📊 Analysis History

  • • Search past analyses
  • • Re-run previous queries
  • • Export historical data
  • • Compare time periods

Creating Your First Analysis

Choosing a Subreddit

Start by selecting a subreddit relevant to your business or research goals. Popular choices include:

Business & Entrepreneurship

  • • r/entrepreneur
  • • r/startups
  • • r/smallbusiness
  • • r/marketing

Technology & Products

  • • r/technology
  • • r/programming
  • • r/SaaS
  • • r/webdev

Formatting Your Question

RedditSense works best with natural language questions. Here are some effective patterns:

Trend Analysis: "What's trending in r/[subreddit] this week?"
Sentiment Analysis: "How do users feel about [topic] in r/[subreddit]?"
Competitive Analysis: "Compare mentions of [competitor A] vs [competitor B]"
Problem Discovery: "What problems do users have with [product category]?"

Effective Question Techniques

✅ Good Questions

  • • "What are the main pain points discussed in r/productivity?"
  • • "How has sentiment about remote work changed in r/jobs?"
  • • "What features do users request most in r/notion?"
  • • "Compare r/investing vs r/wallstreetbets sentiment"

❌ Questions to Avoid

  • • "What's the best [product]?" (too subjective)
  • • "Give me everything about r/technology" (too broad)
  • • "Is [stock] going up?" (we don't provide financial advice)
  • • Single words without context (be specific)

Advanced Query Techniques

Time-based Analysis

"How has discussion about AI changed in the last month?"

Comparison Analysis

"Compare user sentiment: Slack vs Discord vs Teams"

Feature Requests

"What features do users want in project management tools?"

Demographic Insights

"What age groups are most active in r/personalfinance?"

Interpreting Your Results

Understanding Sentiment Scores

😞
Negative
0-40%
😐
Neutral
40-60%
😊
Positive
60-100%

Key Metrics Explained

Engagement Score: How actively users are discussing the topic (comments, upvotes, replies)
Trending Score: How quickly discussion volume is increasing
Confidence Level: How certain our AI is about the analysis (higher = more reliable)

Exporting Your Data

Pro Feature

Exporting data requires a Pro subscription. Upgrade to access PDF reports and CSV data exports.

📄 PDF Reports

  • • Professional formatting
  • • Charts and visualizations
  • • Executive summary
  • • Ready for presentations
Best for: Client reports, presentations, stakeholder updates

📊 CSV Data

  • • Raw data access
  • • Custom analysis possible
  • • Import into Excel/Sheets
  • • Historical comparisons
Best for: Data analysis, trend tracking, custom reports

Best Practices

💡 Tips for Better Results

  • Be specific: "marketing automation tools" vs "tools"
  • Use context: Include industry or use case when relevant
  • Start broad: Get overview first, then drill down with follow-ups
  • Compare timeframes: "this month vs last month" for trends
  • Cross-reference: Analyze multiple related subreddits

⚠️ Common Pitfalls

  • • Don't rely on single subreddit for major decisions
  • • Consider subreddit bias and demographics
  • • Verify insights with multiple data sources
  • • Remember Reddit users may not represent your full market
  • • Check data recency for time-sensitive insights

Troubleshooting

❓ "No results found" or "Limited data"

Try a more active subreddit, broaden your query, or check spelling. Some niche subreddits have limited recent activity.

❓ Analysis seems inaccurate

Reddit language can be sarcastic or use slang. Try rephrasing your question or specify the context more clearly.

❓ Slow processing times

Large subreddits or complex queries take longer. Pro users get priority processing for faster results.

❓ Hit usage limit

Free accounts get 5 analyses per month. Upgrade to Pro for unlimited analyses or wait until next month.

Still need help?

Our support team is here to help you succeed with RedditSense.