Commit 5782b9fc authored by Carl Pearson's avatar Carl Pearson

Update index.html

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<p>Our organization identified a need to track metrics of usability across product development versions. First, I gathered existing methods of usability metrics. I decided on the SUM method based on its ability to summarize classic usability metrics for easier accessibility to non-researchers. Additionally, I devised a cross-team communication plan to share out qualitative insights that can make immediate product impact while quantiative metrics are still in collection. With a general method set, I began to pilot it with one of our lead products.</p>
<p>I gathered information from stakeholders on the critical tasks to test and worked with the development team to get an active version to run with end-user participants. To gather participants, I explored and ultimately used many different avenues to schedule the specialized subset of Red Hat product users that would be appropriate for our testing plan.</p>
<p>While recruiting I made <a href="https://carljpearson.github.io/openshift-sum/" target="_blank">a script in R to analyze the metrics and produce clear plots</a> to represent the data trends. The phase of data collection for version 1 has been completed. The recruitment/data collection for version 2 is in progress and qualitative insights are shared out along the way to acheiving our sample size requirement for metrics.</p>
<p>Our organization identified a need to track metrics of usability across product versions. First, I gathered existing methods of usability benchmarking. I decided on the SUM method based on its ability to summarize classic usability metrics for easier accessibility to non-researchers. </p>
<p>I gathered information from stakeholders on the critical tasks to test and worked with the development team to get an active version to run with end-user participants. To gather participants, I explored and used many different avenues to schedule the specialized subset of Red Hat product users that would be appropriate for our testing plan.</p>
<p>Recruiting proved to be an organizational challenge for our team. I adpated in two ways to make up for the extended time-frame. While recruiting, I made <a href="https://carljpearson.github.io/openshift-sum/" target="_blank">a script in R to analyze the metrics and produce clear plots</a> to represent the data trends. This put our quantitative data analysis process up-front, instead of after collection. Second, I devised a cross-team communication plan to share out qualitative insights that could make immediate product impact while quantiative metrics were still in collection. </p>
<p>I reported some of our results alongside a tutorial on usability benchmarking at devconf.us (<a href="https://docs.google.com/presentation/d/1eA6CtkqqqUOUK3I-l3BsFGMloZNQjnr8x6-7shlLYqI/edit?usp=sharing" target="_blank">link to presentation deck</a>).</p>
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