QA Strategy & Enhancement
For tech companies aiming to elevate their QA processes, ensuring top-tier product quality and efficient development cycles.
What it does
Quality shouldn’t be an afterthought.
Many teams struggle with late-stage testing bottlenecks, slow release cycles, and defects slipping into production. Traditional QA models rely on gatekeeping, slowing down development rather than enabling it.
Our QA Strategy & Enhancement service shifts teams from Quality Assurance to Quality Assistance, ensuring that quality is owned by the entire team, not just a single function.
What we do:
✔ Implement Quality Assistance Models – Empower developers and product teams to own quality from the start.
✔ Introduce Automated Testing Strategies – Reduce reliance on manual testing while improving release confidence.
✔ Improve Collaboration Between Dev & QA – Make quality a team responsibility, rather than a final-stage blocker.
✔ Embed Continuous Quality Feedback Loops – Catch issues early with structured quality gates at every stage.
How it works
Assessment: Begin with a deep dive into your current QA processes, competences, tools, and metrics to understand the starting point
Strategy Formulation: Design a tailored QA strategy, integrating early testing, collaborative approaches, and pinpointing areas for automation and AI enhancement
Training & Empowerment: Conduct workshops and training, elevating your QA team's skills and confidence, transforming them into proactive leaders in the development process
Process Implementation: Guide teams in adopting new processes, including clear role definitions, integrating QA into DevOps, and leveraging AI tools
Review & Iterate: Continuously review outcomes, gather feedback, and adjust as needed to ensure optimal results
Sustain & Grow: Focus on further growth opportunities, ensuring your QA practices remain cutting-edge and effective
Challenges we’ve addressed:
Catching Defects Early in the Development Process: We've focused on identifying issues at the earliest stages, which helps in maintaining the overall quality and efficiency of the development lifecycle.
Transitioning from Traditional QA to a Proactive, Collaborative Approach: We've shifted the focus from just finding bugs to working collaboratively across teams, enhancing the overall quality assurance process.
Empowering Testers to Play an Active Role in Product Development: Our approach has been to involve testers more integrally in the development cycle, allowing for tighter feedback loops and more robust products.
Integrating QA Seamlessly into the DevOps Pipeline: We've worked on embedding quality assurance processes within the DevOps flow, ensuring continuous integration and delivery without sacrificing quality.
Leveraging Machine Learning to Enhance Testing Efforts: We've employed machine learning techniques to improve testing processes, making them more efficient and effective.
Client outcomes
Reduced release cycle time by embedding quality earlier in development.
Shifted teams from reactive defect-fixing to proactive quality ownership.
Helped organisations automate 70% of regression testing, reducing manual effort and improving release confidence.
Leverage AI-driven tools to enhance test coverage and predict problem areas
Our thinking
Explore our latest thoughts and expert advice, crafted to inspire and advance your operational goals.