Project Postmortems for UX Teams: Learning from Success and Failure

Why Read This from an HCI Perspective

This article is highly meaningful for HCI/UX practitioners because it concretely explains how to connect learning after a project ends to ‘system improvement’ rather than treating it as mere ‘retrospection.’ In particular, by including success stories and breaking down the underlying causes and conditions, while emphasizing psychological safety and deliverables that are actionable, it directly helps improve reproducibility and decision-making quality in collaborative environments where research, design, and product work are intertwined.

CIT's Commentary

From a CIT perspective, the core message of this piece is that postmortems should be designed not as simple after-the-fact documentation, but as an organization-wide learning infrastructure. In HCI, it’s often more important to trace what context and judgments led to a given outcome than to focus solely on the outcome itself. This article makes that tracing operational by using root-cause analysis, predefining success criteria, and assigning ownership. However, in UX, quantitative metrics alone are rarely sufficient; you also need to address issues such as the gap between research quality and real-world impact, when stakeholders get involved, and failures in interpreting qualitative evidence. In other words, a good postmortem is not a reflection letter—it’s a mechanism for updating the design rules for the next project.

Questions to Consider While Reading

• Q.When defining success criteria for a postmortem in a UX project in advance, how can we balance quantitative and qualitative indicators?
• Q.When addressing cases in a postmortem where research results were strong but were not reflected in decision-making, what structural cause should be examined first?
• Q.What operating approach is most effective for tracking actionable improvement tasks all the way through without compromising psychological safety?