Pilot Projects
Why Choose a Pilot Project?
Transform your testing approach in just 8 weeks with expert guidance and proven results. A Wopee.io Pilot Project is your fast-track to autonomous testing success, delivering measurable improvements that justify broader adoption.
What You'll Achieve
- 70-90% reduction in test creation time
- 2-5x increase in test coverage
- 60-90% reduction in maintenance effort
- From weeks to hours for regression testing
- 95%+ success rate with expert guidance
Key Benefits vs Self-Service
| Aspect | Self-Service | Pilot Project |
|---|---|---|
| Setup Time | Weeks to months | 1-2 weeks |
| Expert Guidance | Documentation only | Dedicated coach |
| Customization | Standard templates | Tailored to your needs |
| Success Rate | Varies significantly | 95%+ success rate |
| ROI Timeline | 3-6 months | 8 weeks |
| Risk Mitigation | Self-managed | Guided risk management |
| Team Training | Self-study | Structured training program |
| Stakeholder Buy-in | Self-driven | Facilitated presentations |
How Pilot Projects Are Organized
Team Structure
Each pilot project involves a collaborative team from both organizations:
Wopee.io Team:
- Autonomous Testing Coach: Guides the overall process, provides training, and ensures success
- Autonomous Testing Engineer: Handles technical implementation and infrastructure setup
Customer Team:
- SRE/DevOps: Provides infrastructure access and connectivity setup
- Testing Team: Selects testing scope and implements new test scenarios
- Stakeholders: Reviews progress and provides feedback on the solution
Project Phases
Week 1: Foundation
- Day 1: Introduction training (Autonomous Testing Methodology + Wopee.io Platform)
- Day 2: Introduction to AI/ML testing (optional)
- Days 3-5: Infrastructure setup and connectivity verification
Week 2: Implementation
- Wopee.io AI Testing Agent setup for your first application
- Wopee.io Copilot configuration for your testing framework
- Creation of 5 sample test scenarios
Weeks 3-7: Execution & Optimization
- Running tests and monitoring results
- Weekly review meetings with progress updates
- Continuous improvement based on feedback
- Expanding test coverage based on learnings
Week 8: Evaluation & Decision
- Final demonstration for stakeholders
- Lesson-learned workshop
- Decision about future adoption
Typical Timing
The standard 8-week timeline is designed to provide sufficient time for meaningful results while maintaining momentum:
| Week | Activities | Deliverables |
|---|---|---|
| 1 | Training & Setup | Infrastructure ready, team trained |
| 2 | Initial Implementation | Wopee.io tools configured, 5 sample tests running |
| 3-7 | Execution & Optimization | Weekly progress reviews, expanding coverage |
| 8 | Evaluation | Final demo, lessons learned, go/no-go decision |
Note: Timeline can be adjusted based on customer preferences and specific requirements.
Customer Effort Requirements
Minimal Preparation (Before Kickoff)
- Review and update the Pilot Project Charter with your information
- Prepare connectivity from your infrastructure to Wopee.io cloud
- Nominate your team members with contact details
- Prepare testing scope including 5 initial test cases
Ongoing Commitment
- Weekly: 1-2 hours for review meetings
- Daily: 30-60 minutes for test monitoring and feedback
- As needed: Infrastructure support and stakeholder coordination
Infrastructure Requirements
- VPN connection to Wopee.io cloud
- Node.js (for Wopee.io AI Testing Agent and Wopee.io Copilot for Cypress and Playwright)
- Python setup (Wopee.io Copilot for Robot Framework)
- Internet connectivity (GitHub, MS Azure, Google Cloud access required - details to be agreed with Wopee.io team)
What is a Pilot Project?
A Wopee.io Pilot Project is a structured 8-week engagement designed to demonstrate the value and capabilities of autonomous testing in your organization. It's a hands-on, guided experience that goes far beyond self-service implementation, providing expert coaching, customized setup, and measurable outcomes.
Key Characteristics
- Duration: 8 weeks of intensive, focused implementation
- Scope: One application with comprehensive test coverage
- Support: Dedicated Wopee.io team with hands-on coaching
- Outcomes: Measurable improvements in testing efficiency and quality
- Decision Point: Clear go/no-go decision for broader adoption
Why Choose a Pilot Project?
- Accelerated Learning: Skip the trial-and-error phase with expert guidance
- Proven Methodology: Follow a tested approach that has worked for similar organizations
- Risk Reduction: Minimize implementation risks with professional support
- Measurable Outcomes: Clear metrics and success criteria from day one
- Stakeholder Confidence: Professional presentations and demonstrations
- Future Planning: Clear roadmap for broader adoption
Metrics & Improvements
Wopee.io delivers measurable improvements across key testing metrics. The following table shows typical improvements observed during pilot projects, with priority levels indicating which metrics are most feasible to improve during an 8-week pilot.
Important Note: These are common, typical improvements based on our experience with pilot projects. Actual results vary by customer and depend on their specific context, existing testing maturity, application complexity, and team engagement. Your results may differ.
| # | Metric | Definition / Formula | How to Collect (Baseline → Pilot) | Pilot Target / Direction | Priority |
|---|---|---|---|---|---|
| 1 | Test Coverage (%) | % of critical user flows/requirements covered by automated tests | Inventory flows → map to automated tests; compute covered / total | ↑ Significant increase (2–5×) | H |
| 2 | Test Creation Time (per scenario) | Avg. hours to design & implement one test scenario | Time-track authoring for a sample of scenarios before vs. with Wopee.io | ↓ 70–90% reduction | H |
| 3 | Time to First "Useful Suite" | Time to reach ~80% of agreed regression scope from zero | Start clock at kickoff; stop when suite hits ~80% scope & runs green | ↓ From weeks to days/hours | H |
| 4 | Regression Cycle Time | Wall-clock time from "run" to consolidated results (incl. visuals) | Measure end-to-end runtime and reporting before vs. with Wopee.io | ↓ From days to minutes/hours | H |
| 5 | Defect Detection Rate | Defects found in QA per release (by severity) | Count QA-found defects per release; segment by Sev1–Sev3 | ↔/↑ Find more earlier (esp. Sev1–2) | M |
| 6 | Defect Escape Rate | Defects found in UAT/production per release | Count post-QA defects (UAT + prod) | ↓ 30–60% fewer escapes | M |
| 7 | Test Flakiness Rate (%) | % of test runs that fail for non-product reasons | Track false failures / total failures across runs | ↓ Toward <2–5% | M |
| 8 | Maintenance Effort (hrs/sprint) | Hours spent fixing/updating tests/locators | Time-track maintenance before vs. with Wopee.io self-healing | ↓ 60–90% reduction | H |
| 9 | Business-User UAT Hours | Hours business users spend executing acceptance tests | Calendar/time logs during UAT windows | ↓ 30–70% reduction | M |
| 10 | Cost per Release (Testing) | (Testing hours × blended rate) + tool costs | Compare total testing cost baseline vs. pilot period | ↓ 30–40% reduction | L |
Priority Levels Explained
-
High (H): These metrics are directly impacted by Wopee.io and will show clear improvements even in a short 8-week pilot. They represent the core value proposition of autonomous testing.
-
Medium (M): Improvements are possible but depend on scope, defect inflow, and business involvement. These metrics may show improvement but require longer observation periods.
-
Low (L): While savings will appear, these metrics are harder to quantify convincingly in a short pilot. Better measured over multiple releases.
Why These Metrics Matter
Test Coverage & Creation Time: The foundation of testing efficiency. Faster test creation with broader coverage means more comprehensive testing with less effort.
Time to First Suite & Regression Cycle: Critical for CI/CD integration. Faster feedback loops enable more frequent releases and earlier defect detection.
Maintenance Effort: Often the hidden cost of automated testing. Self-healing capabilities dramatically reduce ongoing maintenance burden.
Defect Metrics: Quality indicators that demonstrate the effectiveness of autonomous testing in finding and preventing issues.
Cost Metrics: Business justification for continued investment in autonomous testing solutions.
Getting Started
Ready to transform your testing approach? Here's what happens next:
- Initial Consultation - We'll discuss your testing challenges and goals
- Scope Definition - Identify the optimal application and test scenarios for your pilot
- Team Alignment - Help you identify the right team members for success
- Success Planning - Define clear success criteria and measurement approaches
- Kickoff - Begin your 8-week journey to autonomous testing success
The pilot project is your opportunity to experience the future of testing with expert guidance and proven methodology.
🚀 Ready to Transform Your Testing?
Transform your testing approach with a Wopee.io Pilot Project. Our expert team will guide you through every step of the process, ensuring you achieve measurable results in just 8 weeks.
Schedule a personalized consultation to discuss how autonomous testing can benefit your organization.