Quantitative research methodology should be used to measure the success and usability of a feature on Experience Cloud. Quantitative research involves collecting and analyzing numerical data that can be measured, compared, or statistically tested. Quantitative research can help answer questions such as:
How many users are using the feature?
How often are they using it?
How long does it take them to complete a task with the feature?
How satisfied are they with the feature?
How does the feature affect key performance indicators, such as conversion rates, retention rates, or revenue?
Quantitative research methods can include surveys, analytics, A/B testing, usability testing, and benchmarking. These methods can provide objective and reliable data that can be used to evaluate the impact and effectiveness of a feature on Experience Cloud.
Qualitative research methodology, on the other hand, involves collecting and analyzing non-numerical data that can reveal users’ attitudes, behaviors, motivations, and preferences. Qualitative research can help answer questions such as:
Why are users using or not using the feature?
What are their pain points, needs, and goals with the feature?
How do they feel about the feature?
What are their expectations and feedback for the feature?
How does the feature fit into their context and workflow?
Qualitative research methods can include interviews, focus groups, observations, diary studies, and card sorting. These methods can provide rich and detailed insights that can be used to understand the user experience and identify opportunities for improvement.
Both quantitative and qualitative research methods are valuable for UX design, but they serve different purposes and answer different types of questions. In this case, the UX designer wants to know if the feature was successful and track usability over time, which are questions that can be best answered by quantitative research methods.
[References: User Research Methods, Quantitative vs. Qualitative Usability Testing, 8 Essential Usability Testing Methods for UX Insights, , , , , ]
