Project Presets for Accurate QA Test Estimation
Note: Some advanced presets are available in the Pro version for specialized domains and enterprise use cases.
Choose a preset tuned to your project type—Web App, Mobile App, Desktop App, Backend/API, eCommerce, Regulated (HIPAA/PCI), Firmware/Embedded, Gaming/Entertainment, FinTech/Banking, IoT/Connected Devices, AI/ML Platform, and Enterprise SaaS. Each preset loads realistic defaults for scope, platforms, integrations, automation coverage, and risk factors, so your QA timeline is fast to produce and statistically defensible with Monte Carlo P50/P80/P90 confidence intervals.
Quick Compare of Preset Defaults
These are sensible starting points used by the estimator. You can adjust anything after selecting a preset.
| Preset |
Features |
Complexity (1–5) |
Platforms |
Integrations |
Automation % |
Risk Profile |
Suggested NFR Focus |
| Web App | 24 | 3 | 4 | 3 | 30% | Balanced baseline | Accessibility |
| Mobile App | 20 | 3 | 5 | 2 | 40% | Higher platform count | Performance |
| Desktop App | 22 | 3 | 3 | 3 | 35% | Better env stability | Accessibility |
| Backend/API | 26 | 3 | 2 | 4 | 50% | Stable environment | Security |
| eCommerce | 30 | 3 | 5 | 5 | 35% | Higher change volatility | Performance, Security |
| Regulated (HIPAA/PCI) | 18 | 4 | 4 | 4 | 30% | Lower req clarity | Compliance, Security |
| Firmware / Embedded | 16 | 4 | 2 | 4 | 25% | Env/req challenges | Performance, Security |
| Gaming/Entertainment Pro | 18 | 4 | 6 | 3 | 35% | High complexity/platforms | Performance |
| FinTech/Banking Pro | 16 | 5 | 3 | 6 | 25% | High compliance needs | Security, Compliance |
| IoT/Connected Devices Pro | 15 | 4 | 5 | 4 | 25% | Hardware coordination | Performance, Security |
| AI/ML Platform Pro | 14 | 5 | 2 | 3 | 30% | High change volatility | Performance, Security |
| Enterprise SaaS Pro | 25 | 3 | 3 | 5 | 40% | Integration complexity | Security, Performance |
All presets are available in the free beta. Each uses Monte Carlo simulation with 1,000+ trials for P50/P80/P90 confidence intervals.
Web App
Who it's for
- Modern web applications (SPA/MPA) across major browsers
- Customer-facing portals, B2B dashboards, internal tools
Suggested NFR focus
- Accessibility (WCAG compliance), performance under load
Estimation impact highlights
- Cross-browser/device coverage increases platform multiplier
- Moderate automation coverage suitable for stable UI flows
Default inputs
| Features/User Stories | 24 |
| Avg Complexity | 3 |
| Platforms/Environments | 4 |
| System Integrations | 3 |
| Automation Coverage | 30% |
| Risk Profile | All factors at 3 (balanced) |
Mobile App
Who it's for
- iOS/Android native, hybrid, or cross-platform mobile apps
- Device fragmentation and OS version coverage testing
Suggested NFR focus
- Performance optimization, battery usage, data efficiency
Estimation impact highlights
- Higher platform count due to device matrix complexity
- Better automation potential for stable user flows
Default inputs
| Features/User Stories | 20 |
| Avg Complexity | 3 |
| Platforms/Environments | 5 |
| System Integrations | 2 |
| Automation Coverage | 40% |
| Risk Profile | All factors at 3 (balanced) |
Desktop App
Who it's for
- Windows/macOS/Linux client applications
- Installer/upgrade paths and OS version compatibility
Suggested NFR focus
- Accessibility compliance, performance across OS versions
Estimation impact highlights
- Platform factor accounts for OS + version combinations
- Better environment stability than web/mobile testing
Default inputs
| Features/User Stories | 22 |
| Avg Complexity | 3 |
| Platforms/Environments | 3 |
| System Integrations | 3 |
| Automation Coverage | 35% |
| Risk Profile | Environment Stability: 4 (stable) |
Backend / API
Who it's for
- REST/GraphQL APIs, microservices, service layers
- Contract testing and CI/CD pipeline integration
Suggested NFR focus
- Security (authentication, authorization, injection), performance
Estimation impact highlights
- Highest automation coverage due to stable API contracts
- Better environment stability than UI-based testing
Default inputs
| Features/User Stories | 26 |
| Avg Complexity | 3 |
| Platforms/Environments | 2 |
| System Integrations | 4 |
| Automation Coverage | 50% |
| Risk Profile | Environment Stability: 4 (stable) |
eCommerce
Who it's for
- Online stores, checkout flows, catalog/search systems
- Payment gateways, tax calculators, shipping integrations
Suggested NFR focus
- Performance under load, security (PCI compliance), accessibility
Estimation impact highlights
- High integration count drives complexity up significantly
- Higher change volatility due to promotions and seasonal updates
Default inputs
| Features/User Stories | 30 |
| Avg Complexity | 3 |
| Platforms/Environments | 5 |
| System Integrations | 5 |
| Automation Coverage | 35% |
| Risk Profile | Change Volatility: 4 (frequent) |
Regulated (HIPAA/PCI)
Who it's for
- Healthcare systems, financial services, compliance-heavy products
- Audit trails, documentation requirements, regulatory validation
Suggested NFR focus
- Compliance validation, security auditing, data privacy
Estimation impact highlights
- Higher complexity due to compliance controls and documentation
- Lower requirements clarity typical in early phases
Default inputs
| Features/User Stories | 18 |
| Avg Complexity | 4 |
| Platforms/Environments | 4 |
| System Integrations | 4 |
| Automation Coverage | 30% |
| Risk Profile | Requirements Clarity: 2 (unclear) |
Firmware / Embedded
Who it's for
- Device firmware, embedded systems, hardware-in-the-loop testing
- Field upgrade scenarios and hardware compatibility
Suggested NFR focus
- Performance under resource constraints, security, reliability
Estimation impact highlights
- Lower environment stability leads to more test reruns
- Limited automation due to hardware dependencies
Default inputs
| Features/User Stories | 16 |
| Avg Complexity | 4 |
| Platforms/Environments | 2 |
| System Integrations | 4 |
| Automation Coverage | 25% |
| Risk Profile | Req Clarity: 2, Env Stability: 2 |
Gaming/Entertainment Pro
Who it's for
- Video games, interactive entertainment, streaming platforms
- Multi-platform releases with complex graphics and physics
Suggested NFR focus
- Performance optimization, graphics quality, user experience
Estimation impact highlights
- High platform count due to console/PC/mobile variations
- Complex feature interactions require extensive compatibility testing
Default inputs
| Features/User Stories | 18 |
| Avg Complexity | 4 |
| Platforms/Environments | 6 |
| System Integrations | 3 |
| Automation Coverage | 35% |
| Risk Profile | Change Volatility: 4, Team Experience: 4 |
FinTech/Banking Pro
Who it's for
- Financial services, banking applications, payment processing
- Trading platforms, cryptocurrency, regulatory reporting
Suggested NFR focus
- Security auditing, compliance validation, performance under load
Estimation impact highlights
- Maximum complexity due to financial accuracy requirements
- High integration count with external financial systems
Default inputs
| Features/User Stories | 16 |
| Avg Complexity | 5 |
| Platforms/Environments | 3 |
| System Integrations | 6 |
| Automation Coverage | 25% |
| Risk Profile | Requirements Clarity: 2, Change Volatility: 3 |
IoT/Connected Devices Pro
Who it's for
- Smart home devices, industrial IoT, connected vehicle systems
- Device fleets with cloud connectivity and mobile control
Suggested NFR focus
- Performance at scale, security (device & cloud), connectivity reliability
Estimation impact highlights
- High platform complexity across device types and connectivity modes
- Lower environment stability due to hardware-software coordination
Default inputs
| Features/User Stories | 15 |
| Avg Complexity | 4 |
| Platforms/Environments | 5 |
| System Integrations | 4 |
| Automation Coverage | 25% |
| Risk Profile | Requirements Clarity: 2, Environment Stability: 2 |
AI/ML Platform Pro
Who it's for
- Machine learning platforms, LLM integrations, AI-powered features
- Model training pipelines, inference APIs, data-driven applications
Suggested NFR focus
- Performance optimization, security, model consistency validation
Estimation impact highlights
- Maximum complexity due to non-deterministic behavior
- High change volatility from model iterations and data evolution
Default inputs
| Features/User Stories | 14 |
| Avg Complexity | 5 |
| Platforms/Environments | 2 |
| System Integrations | 3 |
| Automation Coverage | 30% |
| Risk Profile | Requirements Clarity: 2, Change Volatility: 4 |
Enterprise SaaS Pro
Who it's for
- B2B SaaS platforms, enterprise integrations, workflow automation
- Multi-tenant systems with complex permissions and customizations
Suggested NFR focus
- Security (multi-tenancy), performance at scale, accessibility
Estimation impact highlights
- High integration complexity with enterprise systems
- Better automation potential for API-heavy architectures
Default inputs
| Features/User Stories | 25 |
| Avg Complexity | 3 |
| Platforms/Environments | 3 |
| System Integrations | 5 |
| Automation Coverage | 40% |
| Risk Profile | Change Volatility: 3, Team Experience: 4 |
Preset FAQ
Can we change the defaults after selecting a preset?
Yes. Presets simply load sensible starting values. You can adjust features, complexity, platforms, integrations, automation coverage, and all risk factor sliders at any time.
How do presets affect the Monte Carlo simulation?
Each preset provides different baseline values that feed into TestScope's Monte Carlo simulation engine. The same statistical P50/P80/P90 analysis runs regardless of preset, but with parameters tuned to your project type.
Will presets automatically enable non-functional testing?
No. Presets suggest likely non-functional focus areas (e.g., Security for APIs, Accessibility for Web Apps), but you manually toggle Performance, Security, Accessibility, and Compliance testing as needed.
What if our environment or team setup differs from the preset assumptions?
Use the risk factor sliders for Requirements Clarity, Change Volatility, Environment Stability, and Team Experience to reflect your specific situation. TestScope recalculates effort and timeline automatically based on your adjustments.
Can we save custom preset configurations?
Currently, you can use the Save/Load feature to store your customized inputs locally. Custom organizational presets are planned for future releases.
