Leavn Ops: Research & Competitive Analysis Skill
Use this skill when conducting competitor analysis, sentiment monitoring, or user research for Leavn.
CLI Commands Available
# Competitor teardown
leavn-ops research competitors "YouVersion,Hallow,Pray.com"
# Sentiment monitoring
leavn-ops research sentiment --topic "bible app" --days 7
# Interview synthesis
leavn-ops research interviews ~/interviews/
Competitor Analysis Framework
Primary Competitors
- YouVersion (Bible App) - Market leader, massive community
- Hallow - Premium prayer/meditation, Catholic focus
- Pray.com - Audio content, celebrity prayers
- Glorify - Modern design, devotional focus
- Abide - Sleep/meditation focused
Teardown Template
For each competitor, analyze:
Product
- Core features
- Unique differentiators
- UX/UI quality
- Performance
Business Model
- Pricing strategy
- Free vs premium split
- Subscription tiers
- Trial offers
Marketing
- App Store presence (ASO)
- Social media strategy
- Content marketing
- Paid acquisition
Community
- User reviews sentiment
- Social media engagement
- Community features
- Retention strategies
Competitive Matrix
| Feature | Leavn | YouVersion | Hallow | Pray.com | |---------|-------|------------|--------|----------| | Bible | Y | Y | N | N | | AI Devotionals | Y | N | N | N | | On-Device AI | Y | N | N | N | | Prayer Wall | Y | Y | N | Y | | Audio TTS | Y | Y | Y | Y | | Offline | Y | Y | Y | N | | Privacy-First | Y | N | N | N |
Leavn's Differentiators
- On-Device AI: Privacy-first, no cloud dependency
- SwiftUI Native: True iOS-native experience
- Unified Experience: Bible + Devotional + Prayer in one
- Modern Design: Clean, contemporary aesthetic
Sentiment Analysis Framework
Data Sources
-
Reddit
- r/Christianity
- r/Bible
- r/Prayer
- r/TrueChristian
- r/Reformed
-
Twitter/X
- #BibleApp
- #ChristianApp
- #DailyDevotional
- Competitor mentions
-
App Store Reviews
- Leavn reviews (all ratings)
- Competitor reviews (1-2 stars = pain points)
Sentiment Categories
- Positive: Praise, recommendations, gratitude
- Neutral: Questions, comparisons, information
- Negative: Complaints, frustrations, feature requests
Key Insights to Extract
- What do users love about existing apps?
- What frustrates users most?
- What features are frequently requested?
- What language do users use to describe their needs?
User Interview Protocol
Interview Structure (30-45 min)
-
Warm-up (5 min)
- Background, faith journey
-
Current Behavior (10 min)
- How do they engage with faith daily?
- What apps/tools do they use?
-
Pain Points (10 min)
- What's frustrating about current solutions?
- What's missing?
-
Ideal Solution (10 min)
- Magic wand: what would perfect look like?
- Feature priorities
-
Wrap-up (5 min)
- Any other thoughts
- Thank you
Synthesis Framework
After interviews, identify:
- Patterns: What themes appear 3+ times?
- Pain Points: What problems are universal?
- Desires: What features are most wanted?
- Personas: What user types emerge?
- Opportunities: Where can Leavn win?
Research Best Practices
Data Collection
- Use web search for recent discussions
- Use Puppeteer for JS-rendered content
- Screenshot/quote notable findings
- Date-stamp all research
Synthesis
- Look for patterns, not outliers
- Quote users directly when possible
- Quantify findings (X of Y mentioned...)
- Separate facts from interpretation
Action Items
- Translate insights to product decisions
- Prioritize based on frequency and impact
- Validate with additional research
- Track implementation
Using Research Outputs
After running research commands:
- Review templates in
~/.local/share/leavn-ops/outputs/ - Fill in actual data from web research
- Use Claude Code's WebSearch for live data
- Store insights in Memory MCP for future reference
Memory Integration
Store key insights:
mcp__memory__create_entities({
entities: [{
name: "Competitor:Hallow",
entityType: "competitor",
observations: ["Premium pricing ($70/yr)", "Catholic focus"]
}]
})
Output Location
All research saved to: ~/.local/share/leavn-ops/outputs/