For engineering metrics, the right combination of incentives, culture, and alignment to goals can significantly reduce the risk of unintended outcomes.įinally, there is the question of how to integrate engineering metrics into regular workflows and conversations so that they lead to the appropriate actions. Though there is some manipulation, financial metrics still form the backbone of our economy. However, this is not an insurmountable hurdle. This is definitely a legitimate worry, as evidenced by the long list of corporate scandals involving manipulation of financial metrics. This risks favoring the more politically savvy engineers at the expense of quieter hard workers.Īnother question that often arises during the engineering analytics adoption process is whether they will guide people toward the organization’s true goals, or whether people will game the metrics. However, it’s important for everyone to understand that without data, managers are already prone to bias and have to make decisions with less information, primarily relying on what they hear in discussions. One concern that comes up with adopting engineering metrics is whether managers and executives will use the data in a fair and appropriate way rather than leaping to conclusions without having adequate context, especially if they will be a factor in performance reviews. Rolling out engineering analytics across an organization to achieve their full potential while avoiding pitfalls involves a lot of stakeholders and can be tricky to do well. When people first see data in minware, they are often surprised with the level of detail and have questions about how to use this information effectively and responsibly. Minware Engineering Analytics Adoption and Change Management Guide
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