Research at Scale
Access millions of authentic user conversations instantly. Understand behavior patterns, mental models, and pain points without the time and cost of traditional research.
"How do users organize their digital files and folders?"
- Many use date-based organization systems
- Users struggle with "where did I save that?" weekly
- Search is preferred over folder navigation
UX Research Challenges We Solve
Time-Consuming Recruitment
Skip weeks of recruiting and scheduling. Access insights instantly.
High Research Costs
Get qualitative insights at a fraction of traditional research costs.
Social Desirability Bias
Observe authentic behavior, not what users think you want to hear.
How UX Researchers Use reddit-insights.com
Generative Research
Explore user needs, behaviors, and mental models in the early stages of product development. Discover problems you didn't know existed.
Evaluative Research
Understand how users interact with existing products. Identify usability issues and areas for improvement.
Competitive Analysis
Learn what users love and hate about competitor products. Identify opportunities for differentiation.
Mental Model Mapping
Understand how users think about and categorize information. Design interfaces that match their mental models.
UX Research Case Studies
How Reddit insights uncovered user behaviors and pain points that traditional research missed
Case #1: VRBO - Finding a Critical Bug Through User Complaints
- ✅ Bug prioritized after Reddit data showed scale of issue
- ✅ Traditional analytics had missed it (users just didn't book)
- ✅ Fix reduced booking cancellations significantly
- ✅ Host satisfaction scores improved after fix
User complaints analyzed
Hosts affected by bug
Cancellation reduction
Case #2: Crosley - Understanding Product Perception Gap
- ✅ Identified two distinct market segments with different needs
- ✅ Explained sales/sentiment paradox
- ✅ Informed product line expansion strategy
- ✅ Created segment-specific marketing approaches
Distinct user segments found
Opposite sentiment by segment
Product line created
Case #3: AI Art Platform - Predicting User Backlash
A creative tools company was considering adding AI art generation features. They needed to understand artist sentiment before development began.
- ✅ Delayed feature launch for community consultation
- ✅ Created artist advisory board based on Reddit feedback
- ✅ Designed opt-in model addressing specific concerns
- ✅ Avoided backlash that hit competitors
Pro artist opposition rate
Organized boycott
Core artist user base
Case #4: E-learning Platform - Mental Model Discovery
Low course completion rates despite positive content reviews. Traditional usability testing showed navigation issues, but the team needed to understand deeper mental models.
- • "How do people organize their learning materials?"
- • "What makes online courses hard to navigate?"
- • "How do learners track their progress?"
- ✓ Users think in terms of "topics" not "modules"
- ✓ Progress visualization is critical for motivation
- ✓ Users want to see "what's next" not "all courses"
- ✓ Search is preferred over browse navigation
Task success rate
Course completion
Research time (vs 8 weeks)
Complement Your Research Toolkit
Discovery Phase
Use reddit-insights.com to:
- • Identify research questions
- • Understand problem space
- • Generate hypotheses
Validation Phase
Then validate with:
- • Usability testing
- • User interviews
- • A/B testing