${?}_{{?}_{{?}_{?}}{?}_{i}s\text{o}\text{n}\text{g}\text{o}\text{i}\text{n}\text{g}\text{r}\text{e}\text{s}\text{e}\text{a}\text{r}\text{c}\text{h}\text{c}\text{o}\text{n}\text{d}\text{u}\text{c}\text{t}\text{e}\text{d}to\text{e}\text{s}\text{t}\text{a}\text{b}\text{l}\text{i}\text{s}\text{h}\text{,}\text{f}\text{o}\text{r}\text{e}\text{x}\text{a}\text{m}\text{p}\text{l}\text{e}\text{,}\text{t}\text{h}\text{e}\text{n}\text{u}\text{m}\text{b}\text{e}\text{r}of\text{e}\text{r}\text{r}\text{o}\text{r}\text{s}\text{t}\text{h}\text{r}\text{o}\text{u}\text{g}\text{h}\text{o}\text{u}\text{t}\text{a}\text{p}\text{r}\text{o}\text{d}\text{u}\text{c}\text{t}\text{d}\text{e}\text{s}\text{i}\text{g}\text{n}\text{,}\text{f}\text{o}\text{l}\text{l}\text{o}\text{w}\text{e}\text{d}by\text{e}\text{f}\text{f}\text{o}\text{r}\text{t}\text{s}to\text{i}\text{m}\text{p}\text{r}\text{o}\text{v}\text{e}\text{t}\text{h}\text{e}\text{e}\text{r}\text{r}\text{o}\text{r}\text{s}\text{,}\text{w}\text{h}\text{e}\text{r}\text{e}\text{a}\text{f}\text{t}\text{e}\text{r}\text{t}\text{h}\text{e}\text{n}\text{u}\text{m}\text{b}\text{e}\text{r}of\text{m}\text{i}\text{s}\text{t}\text{a}\text{k}\text{e}\text{s}is\text{m}\text{e}\text{a}\text{s}\text{u}\text{r}\text{e}\text{d}\text{a}\text{g}\text{a}\text{i}\text{n}\text{.}}$

${?}_{{?}_{?}}{?}_{i}s$ research conducted $at$ the end $of,$ for example, product design, $to$ establish the user satisfaction $on$ completion $of$ the project.

$If$ the $UX$ goal $isto$ measure how long $it$ takes $to$ complete a transaction, ${?}_{?}{?}_{{?}_{?}}{?}_{{?}_{?}}$ might $bean$ appropriate metric $to$ use.

$If$ the $UX$ goal $isto$ measure the maximization $of$ usability for a critical product, ${?}_{?}{?}_{{?}_{?}}{?}_{{?}_{?}}$ might $bean$ appropriate metric $to$ use.

$If$ the $UX$ goal $isto$ evaluate the impact $of$ small design changes, ${?}_{?}{?}_{{?}_{?}}{?}_{{?}_{?}}$ might $bean$ appropriate metric $to$ use.

The bigger the sample size $in$ usability studies, the higher the ${?}_{?}{?}_{{?}_{?}}{?}_{{?}_{?}}{?}_{i}n$ the data.

$A{?}_{?}{?}_{{?}_{?}}{?}_{{?}_{?}}{?}_{{?}_{?}}$ check might include comparing task completion times and successes $to$ self$-$reported metrics.

When deciding $on$ the most appropriate metrics, three main aspects $of$ user experience should $be$ considered, namely ${?}_{?}{?}_{{?}_{?}}{?}_{{?}_{?}},$ preferences, and emotion.

A metric used $to$ evaluate navigation $or$ information architecture.

A tool used $to$ understand how users interact $on$ a digital platform.

A step $in$ the data cleanup phase.

One $of$ the most common user research methods.