Laura Maguire is a Researcher at Jeli.io, the first dedicated instant analysis platform that combines more comprehensive data to deliver more proactive solutions and identify problems.
Victoria talks to Laura about incident management, giving companies a powerful tool to learn from their incidents, and what types of customers are ideal for taking on a platform like Jeli.io.
Jeli.io (https://www.jeli.io/)
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Transcript:
VICTORIA: This is the Giant Robots Smashing Into Other Giant Robots Podcast, where we explore the design, development, and business of great products. I'm your host, Victoria Guido. And with me today is Laura Maguire, Researcher at Jeli, the first dedicated instant analysis platform that combines more comprehensive data to deliver more proactive solutions and identify problems. Laura, thank you for joining me.
LAURA: Thanks for having me, Victoria.
VICTORIA: This might be a very introductory level question but just right off the bat, what is an incident?
LAURA: What we find is a lot of companies define this very differently across the space, but typically, it's where they are seeing an impact, either a customer impact or a degradation of their service. This can be either formally, it kind of impacts their SLOs or their SLAs, or informally it's something that someone on the team notices or someone, you know, one of their users notice as being degraded performance or something not working as intended.
VICTORIA: Gotcha. From my background being in IT operations, I'm familiar with incidents, and it's been a practice in IT for a long time. But what brought you to be a part of building this platform and creating a product around incidents?
LAURA: I am a, let's say, recovering safety professional.
VICTORIA: [chuckles]
LAURA: I started my career in the safety and risk management realm within natural resource industries in the physical world. And so I worked with people who were at the sharp end in high-risk, high-consequence type work. And they were really navigating risk and navigating safety in the real world. And as I was working in this domain, I noticed that there was a delta between what was being said, created safety, and helped risk management and what I was actually seeing with the people that I was working with on the front lines.
And so I started to pull the thread on this, and I thought, is work as done really the same as work as written or work as prescribed? And what I found was a whole field of research, a whole field of practice around thinking about safety and risk management in the world of cognitive work. And so this is how people think about risk, how they manage risk, and how do they interpret change and events in the world around them.
And so as I started to do my master's degree in human factors and system safety and then later my Ph.D. in cognitive systems engineering, I realized that whether you are on the frontlines of a wildland fire or you're on the frontlines of responding to an incident in the software realm, the ways in which people detect, diagnose, and repair the issues that they're facing are quite similar in terms of the cognitive work.
And so when I was starting my Ph.D. work, I was working with Dr. David Woods at the Cognitive Systems Engineering Lab at The Ohio State University. And I came into it, and I was thinking I'm going to work with astronauts, or with fighter pilots, or emergency room doctors, these really exciting domains. And he was like, "We're going to have you work with software engineers."
And at first,