This is exactly the kinda breakdown I've been looking for! The censored data problem hits home because we always stop measuring before all incidents are resolved, so our averages are basically lying to us. What really clicked for me is how the Kaplan-Meier curve lets you see where incidents get stuck in the pipline. I've been calculating MTTR wrong this whole time.
Glad it could help! If you ready to dive in and give it a shot both Python and R have some great survival analysis packages that do most of the work for you.
This is exactly the kinda breakdown I've been looking for! The censored data problem hits home because we always stop measuring before all incidents are resolved, so our averages are basically lying to us. What really clicked for me is how the Kaplan-Meier curve lets you see where incidents get stuck in the pipline. I've been calculating MTTR wrong this whole time.
Glad it could help! If you ready to dive in and give it a shot both Python and R have some great survival analysis packages that do most of the work for you.