We recommend that researchers carefully consider the use cases when developing lifetime prediction models, and select the right features for the right prediction tasks to avoid information leakage. Importantly, benchmarking of lifetime prediction models should be carried out for models designed for the same use cases. Comparing model performance across use cases would be unfair as some models can rely on richer data encoding the protocol-to-protocol variability as demonstrated in this perspective.