AI-Drafted Retrospectives
Get a head start on learning from every incident with FireHydrant's AI-Drafted Retrospectives. This feature leverages AI to create detailed drafts for your retrospectives, incorporating essential incident insights and facilitating a focus on discussion and improvement.
Overview
Upon incident resolution, AI-Drafted Retrospectives generate a comprehensive draft that includes a structured overview of the incident, timelines, impacts, and preliminary Lessons Learned. These drafts are designed to kickstart your retrospective discussions, ensuring a thorough review and identification of actionable improvements.
Drafting a retrospective
When landing on the retrospective summary tab, you’ll be able to draft the following items:
- Incident Description - The AI will summarize the incident at a high level and provide details about current status, impacted system components, and any mitigation steps taken.
- Customer Impact - The AI will summarize the overall customer impact based on details provided within the incident's fields, timeline, and meeting transcript, if relevant.
- Lessons Learned - The AI will attempt to answer any custom questions you have defined in your retrospective template using all context and information from the incident as a base
- Follow-Ups - The AI will create suggested follow-up tickets for the engineering team to work on based on what happened during the incident
It is as simple as clicking ‘Draft with AI’ to get started. These draft answers provide a structured framework and pre-written information for your team's discussion and review. This ensures that your retrospectives are focused, comprehensive, and aligned with your organizational goals, and the answers can be modified or updated at any time prior to publishing.
Updated about 2 months ago