competitive-analysis
Deep competitive analysis for iOS/macOS apps including feature comparison, pricing analysis, strengths/weaknesses, market positioning, and differentiation opportunities. Use when user asks for competitive analysis, competitor research, feature comparison, market positioning, or wants to understand competition in detail.
What this skill does
# Competitive Analysis Skill
Performs deep competitive analysis for iOS/macOS app ideas. Goes beyond basic discovery to provide detailed competitor insights, feature matrices, and differentiation opportunities.
## When This Skill Activates
Use this Skill when the user wants to:
- Understand competitors in detail
- Compare features across competitors
- Analyze competitor pricing strategies
- Identify competitive strengths/weaknesses
- Find differentiation opportunities
- Map market positioning
- Deep-dive after initial problem discovery
**This is a follow-up to the product-agent skill** — use this when you need more competitive depth.
## What This Skill Does
### 1. Competitor Identification
- Identifies direct and indirect competitors
- Categorizes by market position (leaders, challengers, niche)
- Includes App Store rankings and ratings
### 2. Feature Comparison
- Creates feature comparison matrix
- Identifies unique features per competitor
- Highlights feature gaps (opportunities)
### 3. Pricing Analysis
- Compares pricing models (free, paid, subscription, freemium)
- Analyzes price points
- Identifies pricing strategies
### 4. SWOT Analysis
- Strengths of each competitor
- Weaknesses and limitations
- Opportunities for differentiation
- Threats to new entrants
### 5. Market Positioning
- How competitors position themselves
- Target audience differences
- Brand messaging analysis
### 6. Differentiation Strategy
- **Key output:** How to be different
- Feature gaps in market
- Underserved user segments
- Unique value propositions
## How to Use
### Basic Usage
Start with the **product-agent** skill for baseline problem discovery, then enhance with deep competitor research using WebSearch and WebFetch.
### Workflow
1. **Start with discovery** using the product-agent skill to identify competitors. Extract the `current_solutions` field for the competitor list.
2. **Research each competitor** using WebSearch/WebFetch:
- Search for "[competitor name] app features"
- Search for "[competitor name] pricing"
- Fetch their App Store page
- Fetch their website
3. **Create comparison matrix** from gathered data
4. **Identify differentiation opportunities** based on gaps
## Output Structure
When performing competitive analysis, create this structure:
```json
{
"competitors": [
{
"name": "Competitor Name",
"category": "market_leader | challenger | niche",
"app_store_rating": "4.5/5",
"downloads": "estimated range",
"pricing": {
"model": "subscription | one-time | freemium",
"price": "$X/month or $Y one-time",
"tiers": ["free", "pro", "business"]
},
"key_features": [
"Feature 1",
"Feature 2"
],
"unique_features": [
"Feature only they have"
],
"strengths": [
"What they do well"
],
"weaknesses": [
"What they lack or do poorly"
],
"target_audience": "Who they target",
"positioning": "How they position themselves"
}
],
"feature_matrix": {
"Feature A": {"Competitor1": true, "Competitor2": false, "Competitor3": true},
"Feature B": {"Competitor1": false, "Competitor2": true, "Competitor3": true}
},
"feature_gaps": [
"Feature nobody offers well",
"Feature with poor implementation across board"
],
"pricing_insights": {
"average_price": "$X",
"pricing_range": "$Y - $Z",
"common_model": "subscription",
"pricing_gaps": ["No good free tier", "No lifetime option"]
},
"differentiation_opportunities": [
{
"opportunity": "AI-powered feature X",
"reasoning": "None of the competitors do this well",
"potential_impact": "high | medium | low"
}
],
"market_positioning_map": {
"axes": ["Price (low to high)", "Features (simple to complex)"],
"competitors": [
{"name": "Competitor1", "position": [3, 8]},
{"name": "Competitor2", "position": [8, 9]}
],
"opportunity_quadrant": "Low price, high features"
},
"recommendation": "Strategic positioning recommendation"
}
```
## Best Practices
### 1. Start Broad, Then Focus
```
Step 1: Use product-agent skill to identify competitors
Step 2: Pick top 3-5 most relevant competitors
Step 3: Deep dive on each using web research
Step 4: Create comparison matrix
```
### 2. Look Beyond Direct Competitors
Include:
- **Direct competitors:** Same problem, same solution
- **Indirect competitors:** Same problem, different solution
- **Alternative solutions:** How users solve this today without apps
### 3. Focus on Actionable Insights
Don't just list features. Answer:
- **What can we do better?**
- **What gaps exist?**
- **Where can we differentiate?**
### 4. Verify with App Store Data
When analyzing iOS/macOS apps:
- Check App Store ratings
- Read recent reviews (last 3 months)
- Note update frequency
- Check developer responsiveness
### 5. Pricing Intelligence
Understand:
- How competitors monetize
- What features are behind paywall
- Trial periods and refund policies
- Upgrade paths
## Example Analysis Flow
**User asks:** "Do competitive analysis for task management apps"
**You do:**
1. **Initial Discovery**
Run the product-agent skill with the idea "Task management app with AI prioritization."
Result: Identifies Todoist, Things, OmniFocus, TickTick as main competitors
2. **Deep Research Each Competitor**
For Todoist:
- WebSearch: "Todoist features list 2026"
- WebFetch: https://todoist.com/features
- WebSearch: "Todoist pricing 2026"
- WebFetch: https://todoist.com/pricing
- WebSearch: "Todoist app store reviews"
Repeat for Things, OmniFocus, TickTick
3. **Create Feature Matrix**
| Feature | Todoist | Things | OmniFocus | TickTick |
|---------|---------|--------|-----------|----------|
| Subtasks | ✓ | ✓ | ✓ | ✓ |
| AI Prioritization | ✗ | ✗ | ✗ | ✗ |
| Calendar Integration | ✓ | ✓ | ✓ | ✓ |
| Natural Language Input | ✓ | ✗ | ✗ | ✓ |
4. **Identify Gaps**
- AI prioritization: Nobody does it well
- Smart scheduling: Limited implementations
- Context-aware suggestions: Missing entirely
5. **Present Findings**
```
Competitive Analysis: Task Management Apps
**Top 4 Competitors:**
1. Todoist (Market Leader) - $4/mo, strong features, weak AI
2. Things (Premium) - $50 one-time, beautiful UI, limited power features
3. OmniFocus (Power Users) - $100 one-time, complex, steep learning curve
4. TickTick (Budget) - $2/mo, feature-rich, less polished
**Feature Gaps (Opportunities):**
1. AI-powered prioritization - None do this well
2. Context-aware task suggestions - Missing
3. Smart deadline suggestions - Limited
**Differentiation Strategy:**
Position as "AI-first task manager" with:
- Automatic prioritization based on context
- Smart deadline suggestions
- Learning from user behavior
**Pricing Recommendation:**
$3-4/month (between TickTick and Todoist)
Free tier with core features to build user base
```
## Common Pitfalls to Avoid
### ❌ Don't Just List Competitors
```
Bad: "Competitors are Todoist, Things, OmniFocus"
Good: "Todoist leads with 30% market share at $4/mo, strong in
collaboration but weak in AI features..."
```
### ❌ Don't Ignore Indirect Competition
```
Bad: Only analyzing dedicated task apps
Good: Also include: Notion (general productivity), Apple Reminders
(free built-in), pen and paper (no-tech solution)
```
### ❌ Don't Skip Pricing Analysis
```
Bad: "They have a subscription"
Good: "Freemium model with $4/mo premium. 70% on free tier,
30% convert to paid. Premium unlocks collaboration and integrations."
```
### ❌ Don't Forget the "So What?"
```
Bad: "Competitor X has feature Y"
Good: "Competitor X has feature Y, but it's poorly implemented
(3.2/5 rating in reviews). This is an opportunity to do it better."
```
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