The list below mentions all the key changes done between v6.0.0 (Oct 2022) and v7.0.0 (June The list below mentions all the key changes done between v6.0.0 (Oct 2022) and v7.2.0 (July 2023)
Key Features ReleasedIteration DashboardAdditional KPIs have been added on the Iteration Dashboard. These KPIs together help in gauging the Iteration progress w.r.t Speed and |
1.Iteration Commitment KPI
The KPI shows 4 data points in terms of issue count and story points
Initial Commitment - No. ofQuality Iteration Dashboard Link. 1.Iteration Commitment KPI
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Scoped added - No. of issues added during the iteration.
Scope removed - No. of issues removed during the iteration.
Overall commitment is actually calculated as Initial commitment + Scope added - Scope removed.
This is actually the issues tagged to the iteration when it is closed.
2.Planned Work Status KPI
"Planned work Status" KPI is useful for teams that track each story against a due date within an iteration.
The KPI lets the user know that on any given day during the iteration.
How many issues were planned to be completed.
How many issues were actually completed.
No. of days delay in the completed issues when compared to the due date.
3.Unplanned work Status KPI
Contrary to Planned work status, this includes all issues without due dates.
Note - Planned work completion and unplanned work status will be renamed and repurposed.
4.Work Remaining KPI
This KPI considers all the issues which are not completed as on a given day within an iteration.
The remaining work is depicted in terms of "Issue count/Story Point," "Hours," and "Potential Delay."
Users can see the potential delay for all the stories which have a due date defined.
Predicted completion date is also calculated for the pending issues.
5.Quality Status KPI
All key defect related KPIs are combined under Quality status.
Story linked defects - All defects linked to stories.
Unlinked defects - All defects other than the ones linked to stories.
Defect Density and Defect Injection rate consider defects linked to stories equated against the story points and count of stories respectively.
6.Iteration Progress KPI
Iteration Burnup KPI Shows the cumulative actual progress against the overall scope of the iteration on daily basis.
7.Defect count by Status, RCA and Priority
Defect count is segregated by RCA, Status and Priority.
User can see the break up both for the total defects in an iteration and for the defects created after iteration start date.
8.Iteration Wastage
Iteration Wastage KPI considers the blocked and wait time that falls within a particular iteration .
An issue that is blocked for 24 hours in Jira is considered as 8 hours blocked .
Based on the configurations, users can chose to consider flagged issues also as Blocked.
9.First Time Pass Rate KPI
FTPR KPI is similar to the KPI on Quality dashboard and considers all stories which either have a defect linked or have transitioned through a configured status.
Exclusion parameters: Rejected Resolution, Rejected Status, Priority, RCA.
10. Dev Completion Status KPI
Similar to "Planned work Status" KPI, Dev completion status is useful for teams that track each story against a dev due date within an iteration.
The KPI lets the user know that on any given day during the iteration.
How many issues were planned to be dev completed.
How many issues were actually dev completed.
No. of days delay in the dev completed issues when compared to the due date.
11. Issue Likely to Spill KPI
Issue Likely to Spill KPI: Spills are determined if Predicted Completion Date (PCD) exceeds Iteration end date.
12. Closure Possible KPI
Closure Possible KPI: Issues with Predicted Completion Date (PCD) on or before the current day are considered possible closures.
Usability Enhancements
KPI Overlay experience on Iteration Dashboard
Users can now customize the table view by adding/removing columns in the overlay.
Users can sort/filter/reorder the columns.
The default sorting is on Assignee followed by Due date (wherever applicable).
Fixed Table Header: The KPI overlay table header remains fixed when scrolling.
User can tag comments to each KPI for a project
Introduced new comments feature on KnowHOW, specifically designed to help users save a text field for saving comments per KPI in each project/sprint. This feature enables users to save notes and reference them in the future.
User can see all the trend data on Hover giving him/her the ability to easily compare the trend
Seamless integration between KnowHOW & JIRA
For Speed, Quality and Value KPIs, user can see the Jira data by issue ID and navigate directly to Jira tool from KnowHOW.
A Modal Window is available to see sprint wise data on scrum dashboard and date wise on Kanban dashboard. This capability can be used for all hierarchy levels.
Backlog Dashboard
Defect Reopen Rate Backlog Dashboard Link
Defect Reopen Rate: Measures the number of reopened defects out of the total defects raised KPI includes.
1. Number of defects reopened.
2. Reopened defects as a percentage of total defects raised.
3. Average time to reopen: Calculates the average duration between the last closed date and the reopen date.
Refinement Rejection Rate
Refinement Rejection Rate measures the percentage of rejected stories during refinement. for the last 5 weeks
To take benefit from the KPI users are required to identify three status in the workflow that signify that issues are "Ready for Refinement" OR "Accepted in Refinement" OR "Rejected in Refinement".
Flow Load and Distribution KPI
Flow Distribution KPI evaluates the counts of each issue type that is open in the backlog over a specified period.
The dataset includes issues that have been open within the last 12 months.
Flow KPI indicates the number of issues currently in the backlog.
Backlog considers all open issues that are either tagged to Backlog or any future iteration. It excludes the issues tagged to active sprint on a given day.
This KPI emphasizes limiting work in progress to maintain a fast flow of issues.
The X-axis represents the months, and the Y-axis represents counts allowing you to track the backlog status over time.
Backlog Readiness Efficiency KPI
Backlog Readiness Efficiency KPI: Measures backlog readiness based on ready Product Backlog items.
Determines if enough backlog items are available to be picked up in the upcoming iterations by equating the refined backlog size with the average velocity of past iterations.
Calculates average time for Backlog items to be ready.
Release Dashboard
Release Defect KPI: The KPI shows the breakdown of all defects within an iteration by:
Status
Priority
Assignee
RCA
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Release Burnup KPI
Tracks progress of a release based on cumulative count of closed issues.
It highlights cumulative scope added/removed along with a breakup for each day.
Release Progress KPI
Release Progress KPI introduced: Tracks the count of issues in different stages: To Do, In Progress, and Done.
Based on the size of issues count & Story Point.
2.Planned Work Status KPI
3.Unplanned work Status KPI
Note - Planned work completion and unplanned work status will be renamed and repurposed. 4.Work Remaining KPI
5.Quality Status KPI
6.Iteration Progress KPI
7.Defect count by Status, RCA and Priority
8.Iteration Wastage
9.First Time Pass Rate KPI
10. Dev Completion Status KPI
11. Issue Likely to Spill KPI
12. Closure Possible KPI
Usability EnhancementsKPI Overlay experience on Iteration Dashboard
User can tag comments to each KPI for a project Introduced new comments feature on KnowHOW, specifically designed to help users save a text field for saving comments per KPI in each project/sprint. This feature enables users to save notes and reference them in the future. User can see all the trend data on Hover giving him/her the ability to easily compare the trend Seamless integration between KnowHOW & JIRA
Backlog Dashboard
Release Dashboard
KnowHOW Landing pageEnhanced the UI of the KnowHOW Landing page by displaying all the current dashboard categories in the left navigation. The left navigation bar now displays the following dashboard categories in the given order.
Feature to push KPI data by user
Maturity wheel enhancement
Configuration of authentication types and Tool Connections
Configuration Enhancements
Unit Test Coverage KPI Enhancements
New Tools Support
Quality KPI EnhancementsScrum QUALITY KPIs Link
Speed KPI EnhancementsScrum SPEED KPIs Link 1.Average velocity along with Sprint Velocity KPI
2.Commitment Reliability KPI
3.Story Count KPI
Jira Template Configuration
Azure Board
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Comment section Enhancement
Capacity Table
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Happiness Index displayed on the Y-axis rating.
Sprints tracked on the X-axis.
Notes
Download the offline release option for this release here, if you need to set up/upgrade KnowHOW behind the client firewall.
In case of an upgrade, the database will be migrated to Mongo 4.4.1 from 3.4 via script; in case of any issues while upgrading, please contact the DOJO Support Team.
KnowHOW 5.0.0 requires Sonar configuratin to be reconfigured to support trend data for Sonar KPIs.
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Notes
Download the offline release option for this release here, if you need to set up/upgrade KnowHOW behind the client firewall.