Files
leptos-shadcn-ui/docs/adr/008-competitive-analysis-strategy.md
Peter Hanssens d167232d14 feat: Implement TDD approach for critical remediation elements
🚀 MAJOR IMPLEMENTATION: TDD approach for highest priority remediation elements

##  COMPLETED IMPLEMENTATIONS

### 1. Cargo Nextest Configuration
-  Configured .nextest/config.toml with proper profiles
-  Added CI, performance, and default profiles
-  Prevents test hanging and improves execution speed
-  Tested successfully with Button component (25 tests passed)

### 2. Comprehensive E2E Test Suite
-  Created tests/e2e/ directory structure
-  Implemented button.spec.ts with comprehensive E2E tests
-  Added accessibility tests (wcag-compliance.spec.ts)
-  Added performance tests (component-performance.spec.ts)
-  Covers: functionality, interactions, accessibility, performance, cross-browser

### 3. Enhanced CI/CD Pipeline
-  Created comprehensive-quality-gates.yml workflow
-  7-phase pipeline: quality, testing, performance, accessibility, security
-  Quality gates: 95% coverage, security scanning, performance thresholds
-  Automated reporting and notifications

### 4. Performance Benchmarking
-  Created button_benchmarks.rs with Criterion benchmarks
-  Covers: creation, rendering, state changes, click handling, memory usage
-  Accessibility and performance regression testing
-  Comprehensive benchmark suite for critical components

### 5. Comprehensive Test Runner
-  Created run-comprehensive-tests.sh script
-  Supports all test types: unit, integration, E2E, performance, accessibility
-  Automated tool installation and quality gate enforcement
-  Comprehensive reporting and error handling

## 🎯 TDD APPROACH SUCCESS

- **RED Phase**: Defined comprehensive test requirements
- **GREEN Phase**: Implemented working test infrastructure
- **REFACTOR Phase**: Optimized for production use

## 📊 QUALITY METRICS ACHIEVED

-  25 Button component tests passing with nextest
-  Comprehensive E2E test coverage planned
-  Performance benchmarking infrastructure ready
-  CI/CD pipeline with 7 quality gates
-  Security scanning and dependency auditing
-  Accessibility testing (WCAG 2.1 AA compliance)

## 🚀 READY FOR PRODUCTION

All critical remediation elements implemented using TDD methodology.
Infrastructure ready for comprehensive testing across all 25+ components.

Next: Run comprehensive test suite and implement remaining components
2025-09-12 11:14:01 +10:00

443 lines
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Markdown

# ADR-008: Competitive Analysis and Capability Matching Strategy
## Status
**ACCEPTED** - 2024-09-08
## Context
As a data engineering consultancy, we need to ensure we can match or exceed the capabilities of our competitors while maintaining our technical excellence and unique value proposition. We must continuously analyze the market and ensure our solutions are competitive.
## Decision
We implement a **comprehensive competitive analysis and capability matching strategy** that ensures we can match or exceed competitor capabilities while maintaining our technical excellence and innovation leadership.
### Competitive Analysis Strategy
#### Market Analysis
- **Competitor identification**: Identify key competitors in data engineering space
- **Capability mapping**: Map competitor capabilities and offerings
- **Feature comparison**: Compare features and technical implementations
- **Gap analysis**: Identify gaps in our capabilities vs. competitors
#### Capability Matching
- **Feature parity**: Ensure we can match competitor features
- **Performance benchmarking**: Benchmark against competitor solutions
- **Innovation leadership**: Identify areas where we can exceed competitors
- **Client value**: Focus on client value and outcomes
## Implementation
### Competitive Analysis Framework
```rust
// Example: Competitive analysis data structure
use serde::{Deserialize, Serialize};
use chrono::{DateTime, Utc};
#[derive(Debug, Serialize, Deserialize, Clone)]
pub struct Competitor {
pub name: String,
pub category: CompetitorCategory,
pub capabilities: Vec<Capability>,
pub strengths: Vec<String>,
pub weaknesses: Vec<String>,
pub market_share: f64,
pub last_updated: DateTime<Utc>,
}
#[derive(Debug, Serialize, Deserialize, Clone)]
pub enum CompetitorCategory {
DataEngineering,
Analytics,
MachineLearning,
RealTimeProcessing,
DataVisualization,
CloudPlatform,
}
#[derive(Debug, Serialize, Deserialize, Clone)]
pub struct Capability {
pub name: String,
pub description: String,
pub implementation: ImplementationType,
pub performance_metrics: PerformanceMetrics,
pub client_value: ClientValue,
}
#[derive(Debug, Serialize, Deserialize, Clone)]
pub enum ImplementationType {
Rust,
Python,
Java,
Scala,
Go,
JavaScript,
Other(String),
}
#[derive(Debug, Serialize, Deserialize, Clone)]
pub struct PerformanceMetrics {
pub throughput: Option<f64>, // records/second
pub latency: Option<f64>, // milliseconds
pub memory_usage: Option<f64>, // MB
pub cpu_usage: Option<f64>, // percentage
}
#[derive(Debug, Serialize, Deserialize, Clone)]
pub struct ClientValue {
pub cost_effectiveness: f64, // 1-10 scale
pub ease_of_use: f64, // 1-10 scale
pub reliability: f64, // 1-10 scale
pub scalability: f64, // 1-10 scale
pub innovation: f64, // 1-10 scale
}
// Competitive analysis service
pub struct CompetitiveAnalysisService {
competitors: Vec<Competitor>,
our_capabilities: Vec<Capability>,
}
impl CompetitiveAnalysisService {
pub fn new() -> Self {
Self {
competitors: Self::load_competitors(),
our_capabilities: Self::load_our_capabilities(),
}
}
pub fn analyze_competitor(&self, competitor_name: &str) -> Option<CompetitorAnalysis> {
let competitor = self.competitors.iter()
.find(|c| c.name == competitor_name)?;
Some(CompetitorAnalysis {
competitor: competitor.clone(),
gap_analysis: self.perform_gap_analysis(competitor),
recommendations: self.generate_recommendations(competitor),
competitive_advantage: self.identify_competitive_advantage(competitor),
})
}
pub fn benchmark_against_competitor(
&self,
competitor_name: &str,
capability_name: &str,
) -> Option<BenchmarkResult> {
let competitor = self.competitors.iter()
.find(|c| c.name == competitor_name)?;
let competitor_capability = competitor.capabilities.iter()
.find(|c| c.name == capability_name)?;
let our_capability = self.our_capabilities.iter()
.find(|c| c.name == capability_name)?;
Some(BenchmarkResult {
competitor_metrics: competitor_capability.performance_metrics.clone(),
our_metrics: our_capability.performance_metrics.clone(),
performance_difference: self.calculate_performance_difference(
&competitor_capability.performance_metrics,
&our_capability.performance_metrics,
),
recommendations: self.generate_performance_recommendations(
&competitor_capability.performance_metrics,
&our_capability.performance_metrics,
),
})
}
}
```
### Demo Creation Strategy
```rust
// Example: Demo creation for competitive analysis
pub struct DemoCreator {
target_competitor: String,
target_capability: String,
demo_requirements: DemoRequirements,
}
#[derive(Debug, Clone)]
pub struct DemoRequirements {
pub performance_targets: PerformanceTargets,
pub feature_requirements: Vec<String>,
pub user_experience_goals: Vec<String>,
pub technical_constraints: Vec<String>,
}
#[derive(Debug, Clone)]
pub struct PerformanceTargets {
pub throughput_target: f64, // records/second
pub latency_target: f64, // milliseconds
pub memory_target: f64, // MB
pub cpu_target: f64, // percentage
}
impl DemoCreator {
pub fn create_competitive_demo(
&self,
competitor_demo_url: &str,
) -> Result<Demo, DemoCreationError> {
// Analyze competitor demo
let competitor_analysis = self.analyze_competitor_demo(competitor_demo_url)?;
// Create our demo with matching or exceeding capabilities
let our_demo = self.create_our_demo(&competitor_analysis)?;
// Benchmark against competitor
let benchmark_result = self.benchmark_demos(&competitor_analysis, &our_demo)?;
// Ensure we meet or exceed targets
if !self.meets_performance_targets(&benchmark_result) {
return Err(DemoCreationError::PerformanceTargetsNotMet);
}
Ok(our_demo)
}
fn analyze_competitor_demo(&self, url: &str) -> Result<CompetitorDemoAnalysis, DemoCreationError> {
// Implementation to analyze competitor demo
// This would involve web scraping, performance testing, etc.
Ok(CompetitorDemoAnalysis {
features: vec![],
performance_metrics: PerformanceMetrics {
throughput: Some(1000.0),
latency: Some(100.0),
memory_usage: Some(512.0),
cpu_usage: Some(50.0),
},
user_experience: vec![],
technical_implementation: vec![],
})
}
}
```
### Playwright Testing for Competitive Analysis
```typescript
// Example: Playwright testing for competitive demos
import { test, expect } from '@playwright/test';
test.describe('Competitive Demo Analysis', () => {
test('should match or exceed competitor performance', async ({ page }) => {
// Test our demo performance
const startTime = Date.now();
await page.goto('/our-demo');
// Perform the same operations as competitor demo
await page.click('[data-testid="start-processing"]');
await expect(page.locator('[data-testid="processing-status"]'))
.toContainText('Complete', { timeout: 30000 });
const ourProcessingTime = Date.now() - startTime;
// Benchmark against competitor (this would be automated)
const competitorProcessingTime = 25000; // 25 seconds
// Assert we meet or exceed competitor performance
expect(ourProcessingTime).toBeLessThanOrEqual(competitorProcessingTime);
});
test('should provide better user experience than competitor', async ({ page }) => {
await page.goto('/our-demo');
// Test user experience metrics
const userExperienceScore = await page.evaluate(() => {
// Calculate UX score based on various factors
let score = 0;
// Check loading time
const loadTime = performance.timing.loadEventEnd - performance.timing.navigationStart;
if (loadTime < 2000) score += 25;
// Check interactivity
const interactiveElements = document.querySelectorAll('[data-testid]').length;
if (interactiveElements > 10) score += 25;
// Check visual appeal
const visualElements = document.querySelectorAll('.modern-ui').length;
if (visualElements > 5) score += 25;
// Check accessibility
const accessibleElements = document.querySelectorAll('[aria-label]').length;
if (accessibleElements > 5) score += 25;
return score;
});
// Assert we provide excellent user experience
expect(userExperienceScore).toBeGreaterThanOrEqual(80);
});
test('should demonstrate superior technical capabilities', async ({ page }) => {
await page.goto('/our-demo');
// Test technical capabilities
const technicalScore = await page.evaluate(() => {
let score = 0;
// Check WASM performance
if (window.wasmModule) score += 20;
// Check real-time updates
const realTimeElements = document.querySelectorAll('[data-realtime]').length;
if (realTimeElements > 0) score += 20;
// Check data processing capabilities
const processingElements = document.querySelectorAll('[data-processing]').length;
if (processingElements > 0) score += 20;
// Check scalability features
const scalableElements = document.querySelectorAll('[data-scalable]').length;
if (scalableElements > 0) score += 20;
// Check security features
const securityElements = document.querySelectorAll('[data-secure]').length;
if (securityElements > 0) score += 20;
return score;
});
// Assert we demonstrate superior technical capabilities
expect(technicalScore).toBeGreaterThanOrEqual(80);
});
});
```
### Competitive Benchmarking
```rust
// Example: Competitive benchmarking implementation
pub struct CompetitiveBenchmark {
competitor_name: String,
benchmark_scenarios: Vec<BenchmarkScenario>,
results: Vec<BenchmarkResult>,
}
#[derive(Debug, Clone)]
pub struct BenchmarkScenario {
pub name: String,
pub description: String,
pub test_data: TestData,
pub performance_metrics: Vec<PerformanceMetric>,
pub success_criteria: SuccessCriteria,
}
#[derive(Debug, Clone)]
pub struct TestData {
pub size: usize,
pub format: DataFormat,
pub complexity: ComplexityLevel,
}
#[derive(Debug, Clone)]
pub enum DataFormat {
Csv,
Json,
Parquet,
Avro,
Custom(String),
}
#[derive(Debug, Clone)]
pub enum ComplexityLevel {
Simple,
Medium,
Complex,
Enterprise,
}
impl CompetitiveBenchmark {
pub async fn run_benchmark(&mut self) -> Result<BenchmarkReport, BenchmarkError> {
let mut report = BenchmarkReport::new();
for scenario in &self.benchmark_scenarios {
// Run our implementation
let our_result = self.run_our_implementation(scenario).await?;
// Run competitor implementation (if available)
let competitor_result = self.run_competitor_implementation(scenario).await?;
// Compare results
let comparison = self.compare_results(&our_result, &competitor_result);
report.add_scenario_result(scenario.name.clone(), comparison);
}
Ok(report)
}
async fn run_our_implementation(
&self,
scenario: &BenchmarkScenario,
) -> Result<BenchmarkResult, BenchmarkError> {
// Implementation to run our solution
Ok(BenchmarkResult {
execution_time: 1000, // milliseconds
memory_usage: 512, // MB
cpu_usage: 50.0, // percentage
throughput: 1000.0, // records/second
accuracy: 99.9, // percentage
})
}
}
```
## Quality Standards
### Competitive Analysis Requirements
- **Regular updates**: Monthly competitor analysis updates
- **Comprehensive coverage**: Analysis of all major competitors
- **Performance benchmarking**: Regular performance comparisons
- **Feature parity**: Ensure we can match competitor features
### Demo Creation Requirements
- **Performance targets**: Meet or exceed competitor performance
- **Feature completeness**: Match or exceed competitor features
- **User experience**: Provide superior user experience
- **Technical excellence**: Demonstrate technical superiority
## Tools and Technologies
### Analysis Tools
- **Web scraping**: Competitor demo analysis
- **Performance testing**: Benchmarking tools
- **Market research**: Industry analysis tools
- **Client feedback**: Customer satisfaction surveys
### Demo Creation
- **Leptos**: Our primary framework
- **Rust**: High-performance implementation
- **Playwright**: Demo testing and validation
- **Performance monitoring**: Real-time performance tracking
## Metrics and Monitoring
### Competitive Metrics
- **Market share**: Our market share vs. competitors
- **Performance comparison**: Performance vs. competitors
- **Feature parity**: Percentage of competitor features we can match
- **Client satisfaction**: Client satisfaction vs. competitors
### Demo Quality Metrics
- **Performance targets**: Achievement of performance targets
- **User experience scores**: UX metrics and feedback
- **Technical capabilities**: Demonstration of technical excellence
- **Client conversion**: Demo to client conversion rates
## Review and Updates
### Regular Reviews
- **Monthly**: Competitor analysis updates
- **Quarterly**: Strategic competitive positioning
- **Annually**: Market analysis and strategy review
### Update Triggers
- **New competitor entry**: Immediate analysis and response
- **Competitor feature releases**: Evaluation and response planning
- **Market changes**: Strategic response to market shifts
- **Client feedback**: Response to client competitive concerns
## Related ADRs
- ADR-001: Test-Driven Development (TDD) First Approach
- ADR-002: Testing Pyramid Strategy
- ADR-003: Playwright Testing for Demos
- ADR-004: API Contracts and Testing
- ADR-007: Rust Coding Standards and Latest Practices