Abstract: Provided herein are systems and methods for hyper-personalizing digital guidance for improved user adoption of an underlying computer application. In one exemplary implementation, a method includes identifying an underlying application, gathering usage data at a user level for n days, choosing at least two methods from the group consisting of sequence analysis, top popular analysis, repeat usage analysis, similar users analysis and popular analysis, combining results from the at least two chosen methods, and recommending content to a recommendation user based upon the combined results.

Abstract: Provided herein are systems and methods for creating, testing and providing digital guidance for use in an underlying computer application. In one exemplary implementation, a method includes using a browser extension to record steps of digital guidance content as the steps are created by a content author, automatically testing the content with the same browser and making the tested content available for playback. The testing may include receiving an execute testing command, fetching test case data from a server, executing a test case in the browser using the test case data, running tests on the test case in a background tab of the browser, recording passes and or failures of the tests, sending reports of the passes and failures to the server, sending a notification to the content author that the testing results are ready to view, and displaying the testing results in the dashboard.

Abstract: Provided herein are systems and methods for personalizing digital guidance for improved user adoption of an underlying computer application. In one exemplary implementation, a method includes identifying an underlying application, identifying different pages of the application, gathering usage data at a user level for n days, creating a user behavior matrix from the gathered data, performing a user similarity calculation for each pair of the users, tabulating a consumption count for each of the users, performing a series of score calculations for a recommendation user, calculating an intermediate score for each piece of content, counting a number of users who clicked on each piece of content, obtaining a final score for each piece of content, deciding on a ranking order of the content based on the final scores, and recommending content to the recommendation user from the ranking step.

Abstract: Provided herein are systems and methods for personalizing digital guidance for improved user adoption of an underlying computer application. In one exemplary implementation, a method includes identifying an underlying application, identifying different pages of the application, gathering usage data at a user level for n days, creating a user behavior matrix from the gathered data, performing a user similarity calculation for each pair of the users, tabulating a consumption count for each of the users, performing a series of score calculations for a recommendation user, calculating an intermediate score for each piece of content, counting a number of users who clicked on each piece of content, obtaining a final score for each piece of content, deciding on a ranking order of the content based on the final scores, and recommending content to the recommendation user from the ranking step.

Abstract: Provided herein are systems and methods for creating, testing and providing digital guidance for use in an underlying computer application. In one exemplary implementation, a method includes using a browser extension to record steps of digital guidance content as the steps are created by a content author, automatically testing the content with the same browser and making the tested content available for playback. The testing may include receiving an execute testing command, fetching test case data from a server, executing a test case in the browser using the test case data, running tests on the test case in a background tab of the browser, recording passes and or failures of the tests, sending reports of the passes and failures to the server, sending a notification to the content author that the testing results are ready to view, and displaying the testing results in the dashboard.

Abstract: Provided herein are systems and methods for providing digital guidance in an underlying computer application. In one exemplary implementation, a method includes setting a rule or rules, in a computing device, in advance of digital guidance content creation, for detecting, upon later playback of the content, page elements of the underlying computer application that are associated with the content. The exemplary method further includes recording, in the computing device, steps of the digital guidance content as the steps are created by a content author, and automatically applying, in the computing device, the previously set rule or rules for detecting page elements, and thereby assigning strong attributes to the page elements. The method further includes saving, in the computing device, the content steps along with the strong attributes of the page elements associated with the content steps.

Abstract: Provided herein are systems and methods for providing digital guidance in an underlying computer application. In one exemplary implementation, a method includes recording, in a computing device, steps of digital guidance content as the steps are created by a content author. The exemplary method also includes automatically segmenting, in the computing device, the digital guidance content as it is being created such that the digital guidance content is only associated with segments of the underlying computer application where the content is relevant. The exemplary method further includes making the digital guidance content available for playback to an end user on a computing device only when the end user is in a segment of the underlying computer application that is relevant to the digital guidance content.

Abstract: Provided herein are systems and methods for providing digital guidance in an underlying computer application. In one exemplary implementation, a method includes setting a rule or rules, in a computing device, in advance of digital guidance content creation, for detecting, upon later playback of the content, page elements of the underlying computer application that are associated with the content. The exemplary method further includes recording, in the computing device, steps of the digital guidance content as the steps are created by a content author, and automatically applying, in the computing device, the previously set rule or rules for detecting page elements, and thereby assigning strong attributes to the page elements. The method further includes saving, in the computing device, the content steps along with the strong attributes of the page elements associated with the content steps.

Abstract: Provided herein are systems and methods for providing digital guidance in an underlying computer application. In one exemplary implementation, a method includes recording, in a computing device, steps of digital guidance content as the steps are created by a content author. The exemplary method also includes automatically segmenting, in the computing device, the digital guidance content as it is being created such that the digital guidance content is only associated with segments of the underlying computer application where the content is relevant. The exemplary method further includes making the digital guidance content available for playback to an end user on a computing device only when the end user is in a segment of the underlying computer application that is relevant to the digital guidance content.

Abstract: A method and system for providing an interactive user guide on a webpage includes extracting attributes of one or more elements in a webpage. Further, the method includes enabling a user to define steps for the one or more elements in the webpage. The method includes creating an interactive user guide in one or more formats. The method includes embedding the interactive user guide in-line with the webpage in the one or more formats. Further, the method includes publishing the interactive user guide on the webpage. Furthermore, the method includes enabling one or more users to access and contribute to the interactive user guide.