This explanation feels unsatisfying. It's so high-level that it's mostly void of any actual information. What was the wrong assumption that the code made that caused this wrong behavior? Why was it not caught in the many layers of automated testing before it made its way to production? What process and procedural changes are being implemented to reduce the risk of this class of bug happening again? Presumably all of…
In a medical setting this is equivalent to saying "the patient was coughing up blood, and now they're dead". It's relaying some potentially useful info, and I guess it's _technically_ a post-mortem analysis but it doesn't fit expectations for the phrase!