My dear students (BI Class - LC11),
This is the application case for this week's GSLC. Please read and understand carefully then answer the questions. Answers must be unique and thus copying and pasting answers are not allowed. Thank you.
Application case:
Ask.com is a well-known search engine. Ask.com believes that a fundamental component of its success lies in its ability to consistently provide better search results. However, determining the quality of search results is impossible to measure accurately using strictly quantitative measures such as click-through rate, abandonment, and search frequency; additional quantitative and qualitative measures are required. By regularly surveying its audience, ask.com uses a mix of qualitative and quantitative measures as the basis of key performance indicators, such as “Percent of Users Saying They Found What They Were Looking For”, “Percent of Users Likely to Use the Site Again,” and “Rated Usefulness of Search Results,” in addition to open-ended custom questions evaluating the user experience. By integrating quantitative and qualitative data, Ask.com was able to validate the move to its “Ask 3D” design, despite the fact that in testing purely quantitative measures showed no difference in performance between the old and new designs.
This is the application case for this week's GSLC. Please read and understand carefully then answer the questions. Answers must be unique and thus copying and pasting answers are not allowed. Thank you.
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Application case:
Ask.com is a well-known search engine. Ask.com believes that a fundamental component of its success lies in its ability to consistently provide better search results. However, determining the quality of search results is impossible to measure accurately using strictly quantitative measures such as click-through rate, abandonment, and search frequency; additional quantitative and qualitative measures are required. By regularly surveying its audience, ask.com uses a mix of qualitative and quantitative measures as the basis of key performance indicators, such as “Percent of Users Saying They Found What They Were Looking For”, “Percent of Users Likely to Use the Site Again,” and “Rated Usefulness of Search Results,” in addition to open-ended custom questions evaluating the user experience. By integrating quantitative and qualitative data, Ask.com was able to validate the move to its “Ask 3D” design, despite the fact that in testing purely quantitative measures showed no difference in performance between the old and new designs.
