What are Suggested Follow-ups?
In this snippet, Rob explains exactly what our latest Suggested Follow-ups feature is all about.
Operations | Monitoring | ITSM | DevOps | Cloud
The Place Where Modern Operations & Technology Come Together
Incident.io
Why spec sheets for AI products are a grey area
In this snippet, Rob explains why product spec sheets for AI builds are very different from everyday projects.
The Debrief: AI can help you never forget incident follow-up actions again
Noting follow-up actions is really important at the end of the incident response process. The problem is that it can be really easy to overlook certain actions or forget to do them entirely. With Suggested Follow-ups, this is now a thing of the past. In this episode, you'll hear from Rob, the project lead for our latest Suggested Follow-ups feature, to get a peek behind the curtain.
Making incidents less painful with Kerim Satirli of HashiCorp & Lawrence Jones of incident.io
For a lot of teams, incident management can be a bit of a headache. It's stressful. It's not optimized. The whole process can feel like it's being held together with tape. Worst of all? Responders are the ones feeling the brunt of it. But in reality, your customers are, too. Think about it: But honestly, the situation doesn't even have to be so dire. Things can be, generally speaking, totally fine. But you recognize that there are some things that you can do to make incident response really shine at your organization.
The Debrief: How we built a "game changing" AI assistant feature
Imagine an AI assistant that could automatically surface a whole host of useful incident response data points with just a prompt. Well, you won't need to imagine for much longer. That's exactly what we built in Assistant, one of our newest features powered by AI. In this episode, you'll hear from Charlie, the project lead for Assistant, to get a peek behind this game-changing product. You'll hear him chat about.
The Debrief: Making incidents less painful with Kerim Satirli of HashiCorp & Lawrence Jones of incident.io
For a lot of teams, incident management can be a bit of a headache. It's stressful. It's not optimized. The whole process can feel like it's being held together with tape. Worst of all? Responders are the ones feeling the brunt of it. But in reality, your customers are, too. Think about it: But honestly, the situation doesn't even have to be so dire. Things can be, generally speaking, totally fine.
Are organizations finding value in the incident metrics they track?
See the full report—Incident metrics pulse: How organizations are measuring their incident management What metrics do you look at to measure how efficient your incident response is? This is a question we get asked all the time and one we empathize with deeply. While there are several well-established incident metrics that organizations commonly use, like MTTR and raw counts of incidents, a vast number of them are ineffective, or worse still entirely misleading.
What value you can expect to get from Assistant
In this clip of The Debrief, Charlie explains exactly what teams can look forward to getting from Assistant. Imagine an AI assistant that could automatically surface a whole host of useful incident response data points with just a prompt. Well, you won't need to imagine for much longer. That's exactly what we built in Assistant, one of our newest features powered by AI. In this episode, you'll hear from Charlie, the project lead for Assistant, to get a peek behind this game-changing product.
How we aligned on what "good" looked like for Assistant
In this clip of The Debrief, Charlie explains how we determined what "good" would look like during the process of building out Assistant. Imagine an AI assistant that could automatically surface a whole host of useful incident response data points with just a prompt. Well, you won't need to imagine for much longer. That's exactly what we built in Assistant, one of our newest features powered by AI.
Why design parters were critical during the Assistant project
In this clip of The Debrief, Charlie explains why design partners, and the feedback they gave, was so crucial to the product we ended up building. Imagine an AI assistant that could automatically surface a whole host of useful incident response data points with just a prompt. Well, you won't need to imagine for much longer. That's exactly what we built in Assistant, one of our newest features powered by AI.