Summary

In this episode of Quality Talks, hosts Stu and Chris welcome Christine Pinto (co-founder & CTPO of Epic Test Quest) to discuss the launch of Wizzo, an AI quality companion designed to enhance team collaboration in software testing.

Christine shares insights into the journey of developing Wizzo, emphasising the importance of effective testing that focuses on quality rather than quantity. The conversation explores the role of AI in quality assurance, the significance of defining requirements, how Wizzo's coaching approach fosters human-AI collaboration to improve testing outcomes and much, much more.

Key Takeaways

1. Community is essential for innovation and support in AI development.
2. Prompt engineering is complex; tools that minimise prompt needs are valuable.
3. Real-world testing and community feedback accelerate product development.

Resources:

Christine's LinkedIn Page: ⁠https://www.linkedin.com/in/christine-pinto/⁠

Add Wizzo directly to your Slack: https://api.epictestquest.com/slack/install/direct

Try Wizzo out in our Sandbox: https://epictestquest.com/sandbox

Join our Community of Design Heroes: https://join.slack.com/t/etqcommunity/shared_invite/zt-3qebb30f5-rM8cpZ6OlDyVc_X3CJS15g

Follow ETQ on LinkedIn: https://www.linkedin.com/company/epictestquest

Chapters

00:00 Introduction and Anticipation

01:15 Celebrating Wizzo's Launch

05:24 Introducing Wizzo: The AI Quality Companion

12:09 The Role of AI in Quality Assurance

19:11 Human-AI Collaboration in Testing

24:25 Wizzo's Persona and Coaching Approach

26:30 Clarifying AI Interactions

29:21 The Role of AI in Team Dynamics

32:31 Human Oversight vs. AI Autonomy

35:15 Quality Assurance in AI Development

39:38 The Importance of Human Collaboration

43:36 Navigating the Rapid Evolution of AI

52:03 Integrating AI Tools for Efficiency

54:08 The Setup: A Minimalist Approach

56:31 Setting Boundaries in Work and AI

58:05 Community Building: Lessons Learned

01:02:49 The Role of Community in Product Development

01:06:09 Understanding Through Accountability

01:10:50 Exploring Wizzo: The Sandbox Experience

01:17:42 Parting Thoughts: The Importance of Community

01:20:06 End of the Party

Summary

In the 2nd episode of the Quality Talks Bitesize series: Small Changes That Make a Big Difference to Quality - hosts Stu and Chris discuss their tips on how to enhance quality in teams without causing delays.

They explore the perception of quality as a friction point, the importance of focusing on flow rather than gates, and the need to shift conversations left in the development process.

The hosts emphasise reducing unnecessary checks and adopting a positive communication approach to foster collaboration and efficiency.

Takeaways

1. Quality is often perceived as a friction point in teams.
2. Focusing on flow rather than gates can enhance efficiency.
3. Shifting conversations left helps prevent issues early on.
4. Reducing checks can streamline the quality process.
5. Saying "Yes...AND..." instead of no encourages open communication.
6. Quality should be a continuous process, not a phase.
7. Engaging in early conversations can align team goals.
8. Understanding roles within the team enhances collaboration.
9. Quality coaching is essential for team dynamics.
10. Creating a culture of psychological safety improves communication.

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Chapters

00:00 Introduction to Quality Talks

01:15 Quality as a Friction Point

01:50 Focusing on Flow, Not Gates

06:32 Shifting Conversations Left

09:33 Reducing Rework Instead of Adding Checks

17:34 The Power of 'Yes, And'

25:46 Audience Question

26:29 End

Summary

In this episode of the Quality Talks podcast, host Stu Day and guest Philippa Jennings delve into the intricate relationship between systems thinking and quality.

They explore how quality is not merely a function of testing but a holistic system that involves people, processes, and culture.

Philippa shares her insights on the importance of psychological safety, effective communication, and the need for collaboration across teams.

The conversation emphasises the significance of understanding the problem before seeking solutions and the role of leadership in fostering a culture that prioritises quality.

Key takeaways include the need for feedback loops, the impact of metrics on behaviour, and the importance of defining quality within an organisation.

Takeaways

1. Quality does not equal testing; it's a holistic system.
2. Psychological safety is essential for open communication.
3. Collaboration should be prioritised over individual metrics.
4. Understanding the problem is crucial before finding solutions.
5. Feedback loops are vital for continuous improvement.
6. Culture and values significantly influence team behaviour.
7. Metrics should encourage quality, not just speed or quantity.
8. Testing should focus on baking quality in from the start.
9. Effective communication goes beyond just moving tickets.
10. Leadership plays a key role in shaping quality culture.

Chapters

00:00 Introduction and Overview of Systems Thinking

03:04 Philippa Jennings: Journey into Quality and Testing

05:52 Shift Left: Understanding the Concept and Its Implications

08:28 Quality as a System: Exploring Systemic Quality

11:17 The Seven Parts of Quality as a System

16:23 The Importance of People in Quality Systems

21:55 Understanding Problems: The Key to Quality

27:06 Processes and Workflows: Ensuring Quality Throughout

32:45 The Role of Technology and Tools in Quality

38:35 Conclusion: The Future of Quality in Systems Thinking

41:08 The Impact of Tools on Work Processes

42:07 Understanding Feedback Loops

46:40 The Importance of Monitoring and Metrics

50:29 Cultivating a Culture of Psychological Safety

01:02:46 Leadership and Decision-Making in Quality

01:10:22 Key Takeaways for Quality Improvement

01:16:32 Close

Summary

Introducing a new Quality Talks Podcast bitesize series focusing on Small Changes That Make a Big Difference To Quality

In this 1st episode - Making Quality Visible, Chris and Stu share their top tips on how you can do this which include, the importance of reporting on impact rather than just activity, visualising risk, making quality conversations unavoidable, and the significance of delivering bad news calmly.

Takeaways

1. Stop reporting activity and report on impact.
2. Visualising risk is crucial for understanding quality.
3. Make quality conversations unavoidable.
4. Don't be afraid to share bad news early.
5. The art of storytelling makes quality relatable.
6. Understanding your audience is key to effective communication.
7. Quality advocates should encourage discussions at all levels.
8. Feedback, whether good or bad, is essential for growth.
9. Calmly delivering bad news builds confidence in your audience.
10. Quality conversations should be integrated into all aspects of the organisation.

Chapters

00:00 Introduction to the Bite-Sized Series

01:37 Reporting Impact vs. Activity

06:33 Visualising Risk in Quality

11:39 Making Quality Conversations Unavoidable

16:44 Sharing Bad News Calmly

25:37 Challenge for the Audience

26:29 End

Summary

In this episode of the Quality Talks podcast, host Stu Day and guest Ash Gawthorp discuss the rapid changes in the tech industry driven by AI advancements.

They explore the implications of Andrej Karpathy's tweet expressing feelings of inadequacy among programmers, the evolving nature of software development, and the critical role of testing in ensuring quality in AI-driven systems.

The conversation emphasises the importance of human oversight, the need for explicit verification, and the evolving dynamics between developers and testers in a landscape where AI is increasingly taking on coding tasks.

Key insights highlight the value of existing software testing skills in navigating this new environment and the necessity of adapting to maintain confidence in software outputs.

Useful Links:

Ten10 Website:

https://ten10.com/

Ash Gawthorp's Article:

https://ten10.com/blog/why-software-testing-just-became-the-most-important-skill-in-technology/

Andrej Kaparthy's Tweet: https://x.com/karpathy/status/2004607146781278521

Boris Cherny Tweet:

https://x.com/bcherny/status/2004887829252317325

Takeaways

1. Many in tech feel overwhelmed by rapid AI advancements.
2. Andrej Karpathy's tweet resonated with many programmers.
3. The pace of change in software development is unprecedented.
4. Testing is crucial in AI-driven development environments.
5. Human oversight is essential in AI applications.
6. Testers have a unique skill set that is increasingly valuable.
7. Observability and testability are paramount in AI systems.
8. The role of the verifier is becoming more important than the builder.
9. Imposter syndrome is common among experienced professionals.
10. Continuous quality is vital in software development.

Chapters

00:00 Introduction to the Tech Landscape in 2026

02:50 The Impact of AI on Software Development

06:14 The Shift in Software Development Workflows

10:22 The Non-Deterministic Nature of AI

11:33 Building Confidence in AI Outputs

15:34 The Role of Testing in AI Development

17:27 The Importance of Skepticism in Testing

21:25 Prompt Engineering and Its Challenges

22:52 Verification and Observability in AI Systems

28:05 Human Oversight in AI Development

31:45 The Evolving Role of Testers

37:06 The Future of Software Development and Testing

43:59 Key Takeaways and Closing Thoughts

49:52 Close

Summary

In this episode of the Quality Talks podcast, host Stu Day and guest Megan Ozanne discuss the pitfalls of an automation-first approach in software testing.

They explore the importance of team communication, identifying pain points, and building a capable team.

Megan shares her insights on developing an automation-first maturity model, engaging with stakeholders, and measuring impact.

The conversation also touches on improving communication through techniques like the Three Amigos approach, capturing conversations in tickets, and navigating pushback from leadership.

Megan emphasises the need for empathy in leadership and the challenges of remote work, concluding with key takeaways for listeners.

Takeaways

1. Start with the conversations, not the test suites.
2. Fix the conversations that the teams are having.
3. It's all about conversations.
4. Engage with stakeholders to drive change.
5. Everyone's opinion is valid, even if it's not the path you want to go down.
6. Gather as much data as you can beforehand.
7. Visibility and communication are key.
8. Develop an automation first maturity model.
9. Measure impact through storytelling, not just metrics.
10. Empathy is crucial in leadership.

Chapters

00:00 Introduction to Quality Talks Podcast

01:49 Understanding the Automation First Trap

04:06 Challenges in Automation Implementation

06:00 The Importance of Team Communication

10:14 Gathering Insights from Team Members

11:35 Using Maturity Models for Team Development

14:20 Engaging with Stakeholders Effectively

17:35 Measuring Impact and Metrics

18:28 Improving Communication with Three Amigos

23:21 Navigating Remote Work Dynamics

27:26 Building Empathy in Leadership

31:20 Conversations with Senior Leadership

35:02 The Challenges of Remote Conversations

38:55 Key Takeaways and Closing Thoughts

40:45 End

Summary

In this episode, hosts Stu Day and Chris Henderson reflect on the year 2025, discussing the growth and engagement of the podcast, the challenges of mental health in the workplace, and the evolving role of AI in shaping careers.

They emphasise the importance of community support and effective communication in navigating these changes, while also exploring emerging trends in quality engineering and testing for 2026.

Takeaways

1. 2025 has been a year of significant growth for the podcast.
2. Engagement from listeners has remained high throughout the year.
3. Mental health challenges in the workplace are prevalent and need addressing.
4. Control the controllables to navigate mental checkouts.
5. Metrics should tell a story, not just be numbers.
6. AI is a tool, but community will shape our careers.
7. Human interaction will be crucial in the tech industry moving forward.
8. Continuous learning and adaptation are essential in a rapidly changing environment.
9. Effective communication is key to influencing teams and driving change.
10. Leadership in quality requires a broad understanding of various disciplines.

Chapters

00:00 Reflecting on 2025: A Year in Review

21:44 Navigating Mental Checkouts in the Workplace

28:26 The Role of Metrics in Quality Assurance

34:38 AI vs Community: The Future of Careers

36:02 Embracing AI: The Community's Role

46:30 The Future of Work: Human Interaction and AI

56:51 Trends in Quality Engineering: Skills for 2026

01:07:19 Closing out 2025

Summary

In this episode Stu Day and special guest James Lawther (author of ‘Managed by Morons’) discuss the intricacies of leadership and management, drawing from personal experiences and insights from James's book.

They explore the importance of learning from bad leadership, the need for psychological safety in organisations, and the balance between effectiveness and efficiency.

The discussion emphasises the significance of understanding systems within organisations, the impact of bonus-driven development, and the necessity of a customer-centric approach.

Ultimately, they highlight the importance of building trust and fostering a culture that encourages open communication and continuous learning.

Takeaways

1. Leadership is about creating a culture of trust.
2. You learn more from bad experiences than good ones.
3. Management is straightforward but often poorly executed.
4. Focus on effectiveness, not just efficiency.
5. Psychological safety is crucial for open communication.
6. The system must be managed, not just the people.
7. Long-term thinking leads to better outcomes.
8. Measurement can drive the wrong behaviours.
9. AI should be used to solve real problems, not just for the sake of it.
10. What kind of legacy do you want to leave as a leader?

Chapters

00:00 Introduction to Leadership and the Book

03:02 The Journey of Writing and Blogging

05:57 Learning from Bad Leadership

08:47 The Importance of Systems in Leadership

11:33 Case Studies and Real-World Examples

14:28 The Impact of Incentives on Team Dynamics

17:15 Psychological Safety in the Workplace

21:34 Creating a Safe Space for Open Communication

22:40 The Swiss Cheese Model: Learning from Mistakes

27:01 Connecting Experiences Across Industries

29:11 Admitting Failure: A Key to Improvement

31:46 Understanding Purpose in Business

36:55 The Dangers of Target-Driven Culture

41:05 The Importance of Systems Thinking

45:44 Optimising Systems Over Individual Performance

48:23 The Impact of Systemic Issues on Operations

51:30 The Cost of Short-Term Thinking

53:45 The Balance Between Efficiency and Effectiveness

56:36 Learning from Failures in Organisations

01:01:33 Building Trust in Leadership

01:03:14 Legacy and Leadership: What Will You Be Remembered For?

01:05:07 Show Close