Life data analysts often face the challenge of zero-time failures, which are defined as failures occurring before a product is in the hands of the end customer or out-of-box failures. Processing zero-time failure data can be a complex process since most statistical distributions and analysis software packages do not handle such data well. The analyst must thoroughly understand the appropriateness and implications of including zero-time failures when analyzing life data.