Within the IT world of both development and support, JIRA has become a ubiquitous system used by teams to manage projects, prioritize tasks, run sprints, and issue tickets. JIRA’s Issue Navigator works really well for developers and managers who know exactly what they are looking for and are adept at properly building queries in the system. The more recent dropdown filters also make it easier on the user than the previous reliance on JIRA Query Language.
But Issue Navigator does not allow for a broader search experience with the possibility of serendipitous discovery, since it builds lists of issues based on known criteria. It also doesn’t allow for searching across attachments, such as log files, which could hold a needed answer. With results presented atypically for a search results page and lacking the context for those results, the chances of finding something new are further diminished. For instance, you may not find a person who was associated with a similar issue or problem previously and could save you the effort of having to solve it again.
What if there was as an easier way to see this kind of information and allowed you to more easily find your problem, solve it, and get back to productivity?
Now there is – Q-Sensei’s Spark for JIRA. It’s a powerful plug-in that brings the power of our indexing technology to enhance the search capabilities of an application you’re already using.
You’ll be able to find the right person to fix that bug, locate identical errors in uploaded log files, or get answers from a product specification.
Available in the Atlassian marketplace, Spark for JIRA is just as easy to download and install as other plug-ins found there. After you login and find it, just download it and follow our installation guide for setting up the Fuse service that runs the plug-in. The guide also details the system requirements and specifications and will walk you through building the index of your content. Once complete, Spark for JIRA will be up and running in a matter of hours, not days, and allow you to get back to your development projects or fix those bugs that have crept up.
Inherent in the plug-in are a suite of features that make finding actionable information quick and easy, as we feel it should be. Built on the idea of multidimensionality, you’ll be able to simultaneously search both content and metadata in JIRA and reveal relations in your system you were unaware of. Our dynamic facets will give you a quick view of information about your search results and allow you to select, or remove, facets to hone in more quickly on what you’re looking for without having to reset your search parameters. Full-text search is available for all content including attachments, and the real-time autocomplete suggestions are based on what is in your system and not merely generic keywords. The Spark also handles permissions so any sensitive material stays out of view.
It’s your data and we think it should be easy and quick for you to search it on your own terms. Spark for JIRA empowers you to do just that – it’s simple, fast, and smart.