Become a Thought Leader - Laveena Ramchandani

In this episode, I talk with Laveena Ramchandani about thought leadership in testing and the changing role of testers. Laveena sees testers as engineers who lead by example, ask smart questions, and break silos. She coaches teams to share knowledge, speak up, and aim for team goals, not vanity KPIs. We touch hard calls too, like stepping in or reshaping a team when delivery slips. On AI, we agree to use the tools, then add human sense and the feel of quality, like accessibility and emotion. Testing stays very human.

"When you have to make hard decisions for the right decisions, do it." - Laveena Ramchandani

Laveena Ramchandani is a seasoned Test Manager at easyJet with over a decade of hands-on experience in quality assurance, data science testing and digital transformation. She holds a degree in Business Computing from Queen Mary University of London and has built her career bridging the technical and business worlds. As a passionate advocate for inclusive and accessible digital products, Laveena has spoken internationally on topics such as accessibility, AI and data science in testing and scalable automation. She’s also a blogger, trainer and community leader who enjoys demystifying complex testing science and helping new testers find their voice. When she’s not testing code or delivering workshops, you’ll find her diving into the latest data models, tooling, or exploring how teams can build high-quality products that truly meet user needs.

Highlights:

• Siloed knowledge is a delivery problem: when team members withhold information or processes, the whole team slows down, regardless of individual expertise.
• AI tools can take over test case writing, but human judgment remains necessary to evaluate look, feel, and emotional experience, areas where accessibility testing depends on lived human response.
• Coaching testers means asking open-ended questions about what they want from their careers, not directing them toward a predefined path, because career shapes differ and one size does not fit all.
• Developers testing their own code introduces bias in the same way AI systems carry bias, and testers bring out-of-the-box thinking that development-focused roles do not replicate.

📌 Testing is a people business, humanity as a superpower. That is my talk on October 7 at HUSTEF 2026 in Budapest: See programme and tickets