Quality for All: Integrating Critical Thinking, Quality Advocacy and AI for Agility and Inclusion
Abstract: In an era of rapid technological advancements and ever-evolving market demands, ensuring the delivery of high-quality products is paramount. This conference proposal seeks to present an innovative approach to quality that empowers individuals at every stage of the product development lifecycle, fostering a culture of collaboration and shared responsibility. The participants will master the traditional approaches, experience group dynamics and human-centered AI collaboration in this practical session. Objective: The primary goal of this session is to introduce a comprehensive framework for integrating critical thinking, quality advocacy, and a testing mindset throughout the entire product development process, from the idea inception to the product release. By emphasizing inclusivity, we aim to make these principles accessible to all team members, irrespective of their roles or expertise. Benefits: This session will provide attendees with tangible strategies and useful tools to implement a quality-driven approach at all levels of their organization. By breaking down traditional silos and involving every team member in the delivering a better quality products, companies can enhance product reliability, reduce defects, and ultimately deliver greater value to their customers.
Anna Royzman
Date & Time
Tuesday, July 23, 2024, 2:00 PM - 5:00 PM
Location Name
Texas 1
Session Type
Technology for All
Learning Level
Learning Objectives
1. Critical Thinking in Idea Generation:
• Encouraging a culture of critical thinking from the inception of product ideas.
• Strategies for challenging assumptions, fostering creativity, and anticipating potential quality issues.
2. Quality Advocacy in Innovation:
• Empowering cross-functional teams to become quality advocates.
• Techniques for embedding quality considerations into the innovative process without impeding creativity.
3. Testing Mindset in Release Management:
• Shifting the testing mindset beyond traditional QA roles.
• Practical methodologies for incorporating testing practices at various stages of development, from coding to deployment.
4. Mastering human-centric AI collaboration techniques in gaining expertise, accessing knowledge base and performing risk analysis.
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