System and method for unmoderated remote user testing and card sorting
A system for performing remote usability testing of a website includes a module for generating particular tasks, a module for moderating a session with a number of participants, and a module for receiving usability data. The system further includes an analytics module for analyzing the received usability data. The module for generating the particular tasks includes a research server configured to interface with user experience researchers and storing multiple testing modules for selecting qualified participants from the number of participants and for generating the particular tasks having research metrics associated with a target web site. In an embodiment, the research server randomly assigns one or more of the multiple testing modules to one of the participants. The multiple testing modules may include card sorting studies for optimizing a web site's architecture or layout.
1. A method comprising:
presenting a virtual tracking code to a participant computing system, wherein the virtual tracking code includes a plurality of tasks associated with the target web site;
inserting, at the participant computing system, the virtual tracking code to the target web site to generate a modified target web site;
generating a study comprising the plurality of tasks, wherein the tasks include relating a plurality of items by conceptual categories by degree of perceived similarity or number of shared characteristics, wherein the tasks may include an open task wherein the conceptual categories are determined by the participant and a closed task wherein the conceptual categories are determined by a task author;
generating groupings of the plurality of tasks, wherein each grouping comprises the same number of tasks;
randomly selecting at least one task from each grouping of tasks;
presenting to the participant the selected tasks;
receiving results from the selected tasks responsive to the virtual tracking code;
requesting feedback regarding the selected tasks from the participant, wherein the feedback asks why the participant categorized a set of items together;
analyzing the results against a plurality of quality control rules on a purpose-built analytics server optimized for scalable client queries to generate refined results; and
storing the refined results and associated feedback in a behavioral database.
2. The method of claim 1 , wherein the degree of perceived similarity is subjectively determined by the participant.
3. The method of claim 2 , wherein the participant defines a plurality of categories.
4. The method of claim 3 , wherein a plurality of items are placed into the plurality of categories by the perceived similarity.
5. The method of claim 2 , wherein a plurality of categories are pre-defined.
6. The method of claim 5 , wherein a plurality of items are placed into the plurality of predefined categories by the perceived similarity.
7. The method of claim 1 , further comprising accessing the behavioral database which stores behavioral profiles.
8. The method of claim 7 , further comprising comparing the received results against the behavior profiles.
9. The method of claim 8 , further comprising eliminating the participant when the results fail to match at least one of the behavior profiles.
10. A computer program product stored on a non-transitory memory which when executed by a computer system causes the following steps to be performed:
presenting a virtual tracking code to a participant computing system, wherein the virtual tracking code includes a plurality of tasks associated with the target web site;
inserting, at the participant computing system, the virtual tracking code to the target web site to generate a modified target web site;
generating a study comprising the plurality of tasks, wherein the tasks include relating a plurality of items by conceptual categories by degree of perceived similarity or number of shared characteristics, wherein the tasks may include an open task wherein the conceptual categories are determined by the participant and a closed task wherein the conceptual categories are determined by a task author;
generating groupings of the plurality of tasks, wherein each grouping comprises the same number of tasks;
randomly selecting at least one task from each grouping of tasks;
presenting to the participant the selected tasks;
receiving results from the selected tasks responsive to the virtual tracking code;
requesting feedback regarding the selected tasks from the participant, wherein the feedback asks why the participant categorized a set of items together;
analyzing the results against a plurality of quality control rules on a purpose-built analytics server optimized for scalable client queries to generate refined results; and
storing the refined results and associated feedback in a behavioral database.
11. The computer program product of claim 10 , wherein the degree of perceived similarity is subjectively determined by the participant.
12. The computer program product of claim 11 , wherein the participant defines a plurality of categories.
13. The computer program product of claim 12 , wherein a plurality of items are placed into the plurality of categories by the perceived similarity.
14. The computer program product of claim 11 , wherein a plurality of categories are pre-defined.
15. The computer program product of claim 14 , wherein a plurality of items are placed into the plurality of predefined categories by the perceived similarity.
16. The computer program product of claim 10 , wherein the steps further comprise accessing the behavioral database which stores behavioral profiles.
17. The computer program product of claim 16 , wherein the steps further comprise comparing the received results against the behavior profiles.
18. The computer program product of claim 17 , wherein the steps further comprise eliminating the participant when the results fail to match at least one of the behavior profiles.