Fathima Harris

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Topic Name

Using AI to Think Like a
QA Strategist

Quality Analyst, Lead Consultant

Session Outline

Crafting a strong QA strategy is tough—especially in new domains or with evolving tech. It’s slow, uncertain, and demands structured thinking. That’s where AI comes in—not as a replacement, but as a thought partner to help generate ideas, explore options, and speed up decisions.

The key is using the right tools: ChatGPT or Perplexity for research, Napkin for visual thinking, and others based on the task. But tools alone aren’t enough. You need well-crafted prompts that provide context and guide AI toward useful insights.

Still, human judgment matters. AI can assist, but knowing when to validate, adapt, or ignore its input keeps your strategy real. Real-world examples and templates make it easier to apply all this in practice—turning AI into a valuable ally in your QA journey.

What you’ll learn

1

Map Rewards to Results

What makes a QA strategy effective—and where AI can help build it faster.

2

Architect for Scale & Resilience

How to choose and use the right AI tools for each part of the strategy process.

3

Design Compliance by Default

Prompting techniques that deliver useful, domain-aware outputs.

4

Design Compliance by Default

When to rely on human insight to guide, refine, or challenge AI-generated input.

More About Speaker

Vignesh Srinivasan

Senior SDET I SumUp

Vignesh is a Senior SDET with over 10 years of experience in Software Automation Testing, specializing in Web, Mobile, API, and Performance testing. His passion for learning new technologies and tools has enabled him to excel in automation testing across various platforms.

With over 7 years of experience as a Trainer, he has trained more than 5,000 students and is the highest-rated Udemy Instructor. He also conducts corporate training sessions both online and offline.

He is proficient in a range of tools and technologies, including:

– AI: Gen-AI for QA
– Web Automation: Playwright, Cypress, Selenium, WebdriverIO
– Mobile Automation: Appium, Espresso, XCUI Test
– API Automation: RestAssured, Postman, Karate, Katalon
– Performance Testing: Gatling, JMeter
– Programming Languages: Java, JavaScript, TypeScript, Python, Kotlin, Scalaa

More About Speaker

Fathima Harris

Quality Analyst, Lead Consultant I ThoughtWorks

Fathima Harris is a Lead QA Consultant at ThoughtWorks with 11+ years of experience helping teams build better software through rock-solid quality strategies. From content platforms and banking apps to facial authentication and energy optimization systems, she’s worked across the stack and across industries.

She loves setting up smooth CI/CD pipelines, building test frameworks from scratch (UI, API, performance—you name it), and geeking out over tools like WebdriverIO, Kafka, JMeter, Gatling, and even K9s. She’s all about XP practices, clean code, and making testing feel less like a bottleneck and more like a superpower.

Outside of work, she’s either experimenting with new cuisines, tidying up code (or her kitchen), or deep into a crime thriller—sometimes all at once.