• Bubble Chart Section

    Overview The Bubble Chart displays three dimensions of data where each bubble represents a data point. Each bubble’s position on the x and y axes represents two dimensions of data, while the size of the bubble represents the third dimension. Positive values will be displayed as colored circles, 0 values…

  • Shibumi AI

    Overview The Shibumi AI uses a Large Language Model (LLM) to provide five AI offerings via natural language prompts: AI Support: Trained on Shibumi support materials to provide on-demand help with solution configuration. Available on Templates and Dashboards. Users can ask configuration-related questions and the bot will look through applicable…

  • AI Support

    Overview Here at Shibumi, we’ve harnessed the power of AI to help Shibumi Admins get answers to their configuration questions faster. AI Support has been trained on the articles on Shibumi support materials to provide on-demand help with solution configuration. Now, App Admins can get precise answers to their questions…

  • AI Analyze

    Overview AI Analyze intelligently reviews your program to help you progress initiatives/opportunities, get ahead of risks, and make prioritization decisions. The chatbot responds to natural language prompts by assessing your specified work item’s value, risk, dependencies, timelines, etc. AI Analyze Prerequisites AI must first be enabled in your solution. Contact…

  • Release 217.0

    10 August 2024 (Note: Official Release Notes are available as an attachment to this article.) Enhancements: Charts: Bubble Chart AI: Create Dashboard Tables: Bold font in Total row Custom Sections: Open URL Button does not require GraphQL Issue Resolutions: Bulk editing a Table with lots of data causes the contents…

  • Donut / Pie Chart Section

    Overview The Pie/Donut Chart is a section designed to visualize aggregated Attribute/Metric data or the count of work items in a circular format, showcasing proportional data and percentages. The chart consists of slices that represent different categories, which are proportional to the value the slice represents When reviewing charts, you…

  • Release 216.0

    13 July 2024 (Note: Official Release Notes are available as an attachment to this article.) Enhancements: Cards: Display Date and Text attribute values Cards: Expression-able text for Value 1 and Value 2 on the Display tab  Charts: Pie and Donut Charts  GraphQL API: API call to disable users in an…

  • AI Create Dashboard

    Overview The AI Create Dashboard capability allows for quick, interactive dashboard creation. By using natural language prompts on the Create tab of the Shibumi Chatbot, you can request a dashboard of the items you’d like to see. The Chatbot will respond to your prompt to configure a dashboard including a…

  • Release 215.0

    29 June, 2024 (Note: Official Release Notes are available as an attachment to this article.) Enhancements: Shibumi Database upgrade Issue Resolutions: Views with Role columns are failing to export 215.0 Release Notes

  • Parent

    When referencing the potential parent of a work item, use the parent. prefix followed by the desired suffix. The parent reference can be used to pull values from within the hierarchy, I.E., The name (parent.name), an attribute value (parent.Stage__c), role values (parent.Approver__r), etc. Where Available Calculated Attribute and Metrics Injected…