We present here a testing approach that focuses on better monitoring rather than increased control of loading conditions. It relies on a combination of Bayesian inference with Palmgren-Miner’s rule to efficiently extract information from the experimental set of results. In particular, it compensates creep-induced dispersion on the loading conditions in parallel testing configurations. We evidence its efficiency through its impact on the correlation between a predictive criterion and associated endurance tyre test results.