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Track Talk W3

Why do we need Imagination & Emotion in QA?

Anamika Mukhopadhyay

Deepshikha.

14:40-15:25 CET, Wednesday 4th November

As artificial intelligence rapidly permeates every stage of the SDLC, quality engineering faces a quiet but critical risk: the erosion of human imagination and, with it, the emotional experience of the end user.

Our session begins by addressing two fundamental questions. What is Imagination Quotient in Quality Engineering? The human ability to think beyond predefined paths, to envision unknown scenarios, edge cases, misuse patterns, and future behaviors that no historical data can predict. And what is Emotional Experience? How users feel while interacting with software. Whether they feel confident, reassured, respected, frustrated, or alienated, and whether the system emotionally validates them.

We will talk about how these two concepts are deeply interconnected. Imagination is what allows quality engineers to anticipate emotional outcomes before users experience them. In the AI era, this connection becomes even more critical. AI excels at speed, scale, and pattern recognition, and it is increasingly used to generate test cases, predict defects, optimize coverage, and automate decisions. But AI tests what it has seen. Over-reliance on AI without human imagination risks creating software that may be efficient and intelligent but emotionally disconnected.

This session will explore how quality engineers can maintain a high imagination quotient while working alongside AI. Attendees will learn practical ways to keep their neurons active: using AI as a collaborator rather than a crutch, running imagination-led exploratory testing, creating emotional journey stories, and deliberately testing “unlikely but high-impact” scenarios. The focus is not on reducing AI usage, but on ensuring that human curiosity, skepticism, and creativity continue to guide quality decisions.

We will learn how imagination informed quality engineering improves emotional experience for end-users. How will users feel understood rather than judged, guided rather than confused, and confident rather than hesitant. Let’s learn how to transform quality from defect prevention into relationship building.

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What you will Learn

  1. Imagination is an essential quality skill and not a nice-to-have. We will define how to cultivate Imagination Quotient in quality engineering. Learn how to combine AI-generated tests with imagination-led exploratory sessions actively testing the unknown, emotional, and future-facing scenarios
  2. Emotional experience is a measurable quality outcome. Attendees will learn how emotional experience differs from usability and functional testing — and why it matters. How to add emotional acceptance criteria to critical journeys and treat emotional breakdowns as quality defects.
  3. How to use AI without letting it replace your thinking. How to keep human cognition sharp while using AI across the SDLC. Let AI optimize coverage but let humans challenge assumptions.

Session Details

  • Intermediate
  • 30 minutes
  • 15mins Q&A
  • Real-World Impact & Storytelling
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Check out this video from Anamika & Deepshika to hear more about this talk on 'Why Do We Need Imagination & Emotion in QA?'. We look forward to welcoming you to AutomationSTAR

Session Speaker

Anamika Mukhopadhyay

Nagarro, India

Anamika, a QA consultant with 12+ years in software testing and automation, leads Nagarro’s Emerging and Special Tech Practice. Passionate about inclusivity and equality, she explores AI-driven innovations to advance testing. Her focus is on delivering sustainable, accessible, high-quality solutions that empower diverse users across the evolving technology landscape.

Co Speaker

Deepshikha.

Nagarro, India

Deepshikha, with 10+ years in software testing and quality engineering, heads Nagarro’s AI in Testing practice. She drives sustainable, AI-powered automation strategies that boost efficiency, optimize processes, and speed up delivery. Her expertise empowers organizations to achieve reliable, high-quality software while enhancing business value, performance, and long-term impact.

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