Best practices for using Rovo in Atlassian apps
10 min
By the end of this lesson, you'll be able to:
- Considerations while searching in Jira using Rovo
- Optimize your Jira search prompts for better results
- Describe the best practices to get accurate results
Rovo results are based on existing data
Importance of access and up-to-date data
- Rovo will only find what exists. If you don't have permission to access it or something doesn't exist, then Rovo won't display any output relating to your prompt. It can't process something that doesn’t exist.
- Keep Atlassian objects such as Jira work items or Confluence pages up-to-date Maintaining current and accurate information in your spaces and objects is important. Using AI to search for answers in Confluence yields the best results when your Confluence site is populated with detailed, complete, and up-to-date content. Regularly adhere to best practices across all apps. Ensure that you archive items when possible and keep statuses current. In Jira Service Management, the quality of AI-generated responses will be affected if your knowledge base articles are outdated or not regularly updated.
Be cautious about sharing confidential company information
Even though Atlassian and its LLM partners guarantee not to share your data for further AI training purposes, we still recommend avoiding sharing personal, confidential, or sensitive data.
AI technology is undeniably powerful and excels when paired with the appropriate mindset. Both Atlassian and its LLM partners prioritize data security by ensuring that all transmitted information is encrypted. However, it is essential to recognize that certain types of data should not be shared, even with these protective measures in place.
Search work items in Jira using Rovo
Rovo works best in the following scenarios:
✔ Search for fields and values that exist in your Jira space.
✔ Use specific fields and values in your query that can help narrow down your work item search.
✔ Searches in Jira spaces you have access to.
✔ Query is in English.
✔ Query is translatable to JQL. Since Rovo converts prompts to JQL code, inputs containing keywords that can be translated to JQL can provide better results.
Optimize AI prompts for better results
Persistence is key here. Try different things and optimize along the way. Observe how your AI responds and tweak the prompts based on its performance. Think of this as an ongoing dialogue where you're continually refining the conversation.
👉 Initial query: Imagine a situation where you, as Mitch's manager, need to review the work items assigned to him. You might start by asking, "Find all work items assigned to Mitch Davis". You get over 1,000 results distributed across more than 20 pages. Going through so many pages would make it quite challenging to locate the specific information you need.
👇 Here's an example and results of “find all work items assigned to Mitch” in Jira.
👉 Refined query: To view Mitch's work items in the specific space called "Platform development", we can refine the query for clarity by adding the space name, the updated query becomes: "Find all work items assigned to Mitch Davis in the Platform development space".
👇 Here's an example and results of “Find all work items assigned to Mitch Davis in the Platform development space" in Jira.
Using JQL, you can filter your search using the fields available in your space, such as priority, assignee, and work item type. You can also combine multiple criteria to find important work items, including those that you’re watching or those that are blocked.
Tip: Sort on the column you are searching on. If the column is not already visible, make it appear using columns in Jira. In the example above, the column Assignee was made to appear so that we know that Mitch Davis assignee was matched as mentioned in the criteria.
Using Rovo in Jira Service Management
When creating knowledge base articles for virtual service agents, keep the following in mind:
- Rovo answers don't extract information from images.
- Rovo answers perform best with text, not in tables in Confluence.
- Rovo answers quality relies on the knowledge base's accuracy and clarity.
- A well-structured, up-to-date knowledge base enables better question deflection by the virtual service agent.
Give feedback
After using any of the Rovo features, you can rate how useful it was to you by selecting the thumbs-up or thumbs-down icon. This helps improve the features for your organization. Please share which parts of the output were helpful and which could be improved. If you notice any inaccuracies in Rovo, let us know in your feedback so we can make corrections.
👇 Here's an example of where you can give feedback after using AI.
