Risk assessment in online collaborative environments
Abstract
Text content is received, provided to content providers that contains textual elements describing an issue experienced by a user interacting with a product in development. Textual elements of interest associated with the issue from the received text content are identified. Whether issue entries exist in a repository that include the textual elements of interest is determined. If issue entries in the repository exist including the textual elements of interest, then a most similar issue entry is identified and a risk level for the issue is generated. If no issue entries exists in the repository that includes the textual elements of interest, then a risk level for the issue is generated based on the identified textual elements of interest and metrics of the content providers including a number of unique views received by the issue reported to the content providers, and then a work item is sent to an administrative user.
Claims
exact text as granted — not AI-modified1 . A method for risk assessment in an online collaborative environment, the method comprising: receiving, by one or more computer processors, text content provided to one or more content providers that contains one or more textual elements describing an issue experienced by a user interacting with a product in development; identifying, by the one or more computer processors, textual elements of interest associated with the issue from the received text content; determining, by the one or more computer processors, whether issue entries exist in a repository that include one or more of the textual elements of interest, wherein each issue entry includes a predetermined risk level associated with the issue that indicates a likelihood that the issue will hinder the user interaction with the product; responsive to determining that issue entries in the repository exist including one or more of the textual elements of interest: identifying, by the one or more computer processors, an issue entry in the repository that is most similar to the one or more textual elements of interest; generating, by the one or more computer processors, a risk level for the issue, based on the predetermined risk level of the identified entry; responsive to determining that no issue entries exists in the repository that includes one or more of the textual elements of interest: generating, by the one or more computer processors, a risk level for the issue based on the one or more identified textual elements of interest and a metric selected from the group of metrics consisting of: a number of unique views received by the issue reported to the content providers, a pre-determined importance value associated with the text elements of interest, a frequency of text element of interest associated with the issue reported to the content providers, a number of replies responses to the issue reported to the content providers; and sending, by the one or more computer processors, a work item to an administrative user, wherein the work item indicates to the administrative user to address the issue, wherein addressing the issue involves receiving the administrative user's input to modify a corresponding module of the product in development.
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