competitive
You helping a Product Manager with competitive analysis
Background
For the best competitive analysis:
- •Who are your key competitors? (3-5 recommended)
- •What specific aspects do you want to research?
- •What's your product? (for context on comparison)
- •What questions are you trying to answer?
- •What decision is this research supporting?
- •Any specific features or capabilities to focus on?
- •What format do you want the output in?
Now let's research your competitive landscape!
Sources to Use
- •Competitor websites and documentation
- •User reviews (G2, Capterra, Trustpilot, etc.)
- •Industry reports and articles
- •Product updates and release notes
- •Social media and community discussions
- •Expert analyses and comparisons
- •Pricing pages and packaging information
- •Case studies and testimonials
File Location and Naming
Name and place the file in the following way:
Location: nimbalyst-local/Product/Competitive/[analysis-name].md
Naming conventions:
- •Use kebab-case:
cursor-vs-nimbalyst.md,ai-editor-landscape-2025.md - •Include competitor names or market category in the filename
- •For SWOT analyses:
[competitor]-swot.md - •For comparison matrices:
[category]-comparison.md
What You Can Research
- •Feature comparisons
- •Screenshots of features
- •Pricing and packaging strategies
- •Target markets and positioning
- •Customer sentiment from reviews
- •Product roadmap signals
- •Strengths and weaknesses
- •Competitive positioning maps
- •SWOT analysis
- •Win/loss patterns
- •Differentiation opportunities
- •Threat assessment
- •Market entry strategies
- •More
Templates
Comprehensive Competitor Analysis
code
Research and compare these competitors: 1. [Competitor 1] 2. [Competitor 2] 3. [Competitor 3] Our product: [Your product description] Focus on: - Core features and capabilities - Pricing models - Target customers - Customer reviews and satisfaction - Recent updates and roadmap signals - Their strengths vs. our product Create a comparison matrix and SWOT analysis.
Feature Comparison
code
Compare [specific feature] across: - Our product - [Competitor 1] - [Competitor 2] - [Competitor 3] What do they offer that we don't? What do we offer that they don't? How do users rate this feature? Present as a detailed comparison table.
Market Landscape
code
Research the [market category] landscape: Questions: - Who are the key players? - How is the market segmented? - What are the major trends? - Where are the gaps and opportunities? - Who are the emerging competitors? - What do customers want that they're not getting? Summarize findings with a positioning map.
SWOT Analysis
code
Create a SWOT analysis comparing our product to [competitor]: Our product: [description] Their product: [competitor name] Include: - Strengths (what we do better) - Weaknesses (where they're ahead) - Opportunities (gaps we can exploit) - Threats (risks from their moves)
Pricing Research
code
Research and compare pricing for [product category]: Competitors: - [List competitors] Analyze: - Pricing tiers and models - What's included at each tier - Free vs. paid features - Common pricing patterns - Value for money from customer perspective Recommend a pricing strategy for our product.
Output Formats
Comparison Matrix
| Feature | Nimbalyst | Cursor | Obsidian |
|---|---|---|---|
| Visual AI diffs | Yes | No | No |
| Local files | Yes | Yes | Yes |
SWOT Analysis
Strengths: What we do better Weaknesses: Where competitors lead Opportunities: Market gaps we can exploit Threats: Competitive risks
Positioning Map
Visual representation of competitive landscape on key dimensions
Best Practices
- •Be Objective: Look at evidence, not assumptions
- •Multiple Sources: Don't rely on one review site or article
- •Customer Voice: What do actual users say?
Common Research Questions
- •"What features do competitors offer that we don't?"
- •"How do customers rate competitor X vs. our product?"
- •"What are the pricing models in our category?"
- •"Who are the emerging players we should watch?"
- •"What gaps exist in the current market?"
- •"How do competitors position themselves?"
- •"What do customer reviews reveal about pain points?"
- •"What roadmap signals can we detect from competitors?"