Put simply, managing incidents—big or small—is good for business. Not only is it a regulatory requirement, but also a factor in your profits. Your customers expect smooth operations, good customer service and protection. A dedicated incident management tool can help protect all of these. While many may think of incidents as an IT or DevOps issue, it’s hard to over emphasize that they can happen in any department.
In this episode, Pete and Lisa discuss why great communication (both internally and externally) is essential to the success of any incident management process. From keeping your wider team in the loop to minimise disruption, to using customer communication to strengthen your brand when things go wrong, the team share their experiences and top tips for having a transparent incident communication culture.
Let’s get one thing out of the way: we’re going into 2023 on a high-note. We’ve closed deals with some of the most respected companies in both the UK and US, we’ve hired in the double-digits, expanded into New York, and revenue is growing steadily. But we aren’t hanging up our football boots just yet. Yes, we can take some time to celebrate our wins, but we’re all hands on deck for 2023 planning.
In this podcast, the three incident.io co-founders Stephen, Chris and Pete take a trip down memory lane, revisiting the story of how they came to found incident.io and the major milestones of the first 12 months in business.
In this podcast, our panellists discuss the foundations that any team needs to put in place when designing their incident management process. Starting from the basics of defining what we really mean by an incident, to how to set your severity levels, roles and statuses, Chris and Pete share their tips for building solid foundations to run your incidents.
Most well established data teams have a clear remit and a well defined structured for what they work on and when: from the scope of their role (from engineer to analyst) to which part of the business they work with. At incident.io, we have a 2 person data team (soon to be 3) with both of us being Product Analysts.
