Overview Dashboards provide a crucial way to configure unique views without the need for changes to the solution workflow. Dashboards deliver an at-a-glance view into the relevant goals, metrics, initiatives, etc., being tracked in your Shibumi solution. The Dashboards page is a centralized location in which all Dashboards are held…
The addYears() function provides the ability to add or subtract years from a date. Syntax addYears(date, integer) Argument Description date (required) An expression that results in a date value (i.e., a hard-coded date, a reference to a date attribute, or a function that returns a date value). integer (required) The…
19 October 2024 (Note: Official Release Notes are available as an attachment to this article.) Enhancements: New Dashboards Expressions: addYears() Function Tables: Ability to filter a Calculated Column in a Table Tables: Metric Timeframe columns should include group header on export Workplan Gantt: Show Milestone diamond for Target dates Issue…
Overview App Admins have the ability to define default sections that can be used to streamline configuration of sections. This is especially useful when users lack the basic understanding of their Shibumi solution (e.g., to know which attributes to include as columns on a table). For example, on the Initiative…
21 September 2024 (Note: Official Release Notes are available as an attachment to this article.) Enhancements: AI Chatbot: Remove tabs from chat window Card: Static values in Operations Forms: Set separators for multiple fields at once Presentations: Configure a slide with the context of a work item Table: Calculated numeric…
24 August 2024 (Note: Official Release Notes are available as an attachment to this article.) Enhancements: Card: Conditional Colors Issue Resolutions: Small metric values in Tables display in exponential format and ignore decimal place setting 218.0 Release Notes
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…
Overview The Shibumi AI Chatbot uses a Large Language Model (LLM) to provide four 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…
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…
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…