In non-steady-state multi-parametric quantitative MRI (e.g. MR-STAT or MR Fingerprinting (MRF)), it is a non-trivial task to devise good sequences of time-varying flip angles. Recent work addresses this issue, albeit assuming a single-voxel approach, i.e. the k-space encoding is not taken into account when optimizing. In this work we show, using examples from MR-STAT reconstructions and using a Cramer-Rao based BLAKJac analysis, that two apparently similar sequences can have vastly different outcomes when applied in an actual (2-dimensional) measurement setup - showing that the context of encoding is very relevant.