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KPI Name | Representation (Single Project) | Tools | Maturity level values | Information IconKPI Calculation | On Hover | ||||
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Ticket open vs closed rate by type(Ticket open rate by type)Multi-select filter will have issue types Line + Column graph
Agile Project Management
| N/A | Ticket open vs closed rate by type gives a comparison of new tickets getting raised vs number of tickets getting closed grouped by issue type during a defined period. This can be filtered based on issue type | Line + Column graph
| Agile Project Management
| N/A | , the KPI is considered having a positive trend | Date Range- Count | ||
Ticket Open vs Closed rate by Priority(Ticket open rate by priority)Multi-select filter will have Prioritygives a comparison of new tickets getting raised vs number of tickets getting closed grouped by priority during a defined period. | Line + Column graph
| Agile Project Management
| N/A Ticket open vs closed rate by priority gives a comparison of new tickets getting raised vs number of tickets getting closed grouped by priority during a defined period. This can be filtered based on priority | If the No. of tickets closed are more than the No. of tickets opened in the latest time period, the KPI is considered having a positive trend | Date Range- Count | ||||
Net OpenTicket Count By Priority (Ticket Count By Priority)Multi-select filter will have Priorities Line chart
Agile Project Management
| N/A | Net Open ticket count by priority measures the overall open tickets during a defined period grouped by priority. It considers the gross open and closed count during a period and then plots the net count Decrease in net open ticket count is considered as positive | Date Range- Count | Net Open Ticket Count By RCA (Ticket Count By RCA)Multi-select filter will have RCA values counts | Line chart
| Agile Project Management
| N/ANet open ticket count by RCA | Date Range- Count | |
Net Open Ticket Count By RCA (Ticket Count By RCA)measures the overall open tickets during a defined period grouped by RCA. It considers the gross open and closed count during a period and then plots the net count Decrease in net open ticket count is considered as positive | Date Range- Count | Net Open Ticket count by Status (Total Ticket Count)Multi-select filter will have status Line chart
| Agile Project Management
| N/A | Date Range- Count | ||||
Netopen ticketOpen Ticket count bystatusStatus (Total Ticket Count)measures the overall open tickets during a defined period grouped by Status. It considers the gross open and closed count during a period and then plots the net count | Line chart
| Agile Project Management
| N/A | Date Range- Count | |||||
Open Tickets Ageing by Priority (Total Tickets Aging)Multi-select filter will have Prioritiesgroups all the open tickets based on their ageing and priority | Line chart
| Agile Project Management
| N/A | Open tickets by ageing groups all the open tickets based on their ageing and priority | Date Range- Count | ||||
Regression automation Coveragemeasures progress of automation of regression test cases | Line chart
| Agile Project Management
| M1 - <20% M2 - 20-40% M3 - 40-60% M4 - 60% - 80% , M5 - > 80% REGRESSION AUTOMATION COVERAGE measures progress of automation of regression test cases It is calculated as | No. of regression test cases automated/Total no. of regression test cases
| Date Range: <<Percentage Value>> Regression test cases automated: <<Value>> Total Regression test cases: <<Value>> | ||||
Unit Test CoverageMultiple Project: Multiple is a measurement of the amount of code that is run by unit tests - either lines, branches, or methods | Line Graph with single-select filter Line Graph YY- Axis - Percentage
| Agile Project Management
| M1 - <20% M2 - 20-40% M3 - 40-60% M4 - 60% - 80% , M5 - > 80%UNIT TEST COVERAGE is a measurement of the amount of code that is run by unit tests - either lines, branches, or methods. | The calculation is done directly in Sonarqube
| Date Range: << Percentage Value>> | ||||
Sonar ViolationsMultiple Project: Stacked Clustered Column with single-select filter Stacked Column Y- Axis - Count X- Axis - Weeks Agile Project Management
| No Maturity Trend | SONAR VIOLATIONS highlight count of issues that exist every time a piece of code breaks a coding rule. The set of coding rules is defined through the associated Quality profile for associated Quality profile for each programming language in the project. | Stacked Column
| Agile Project Management
| No Maturity Trend | The calculation is done directly in Sonarqube. Issues are categorized in 3 types: Bug, Vulnerability and Code Smells All these issues are categorized into 5 type of severity: Blocker, Critical, Major, Minor, Info | Date Range: Blocker: <<Value>> Critical: <<Value>> Major: <<Value>> Minor: <<Value>> Info: <<Value>> | ||
Sonar Tech DebtMultiple Project: Multiple Line Graph with single-select filterexplains the estimated time required to fix all Maintainability Issues/ code smells | Line Graph
| Agile Project Management
| M1: >100 days M2: 50-100 days M3: 30-50 days, M4: 10-30 days, M5: <10 daysSONAR TECH DEBT explains the estimated time required to fix all Maintainability Issues/ code smells | It is calculated as effort to fix all Code Smells. The effort is calculated in minutes and converted to days by assuming 1 Day=8 Hours
| Date Range:<<Days>> | ||||
Test Execution and pass percentageMultiple Project: Multiple Line + Clustered measures the percentage of test cases that have been executed & the percentage that have passed. | Line Graph + Column chart Line Graph
| Agile Project Management
| M1 - <20% M2 - 20-40% M3 - 40-60% M4 - 60% - 80% , M5 - > 80% | TEST EXECUTION AND PASS PERCENTAGE measures the percentage of test cases that have been executed & the percentage that have passed. It is calculated as No. of executed test cases out of total test cases in the latest execution during a day/week/month No. of pass test cases out of executed test cases in the latest execution during a day/week/month
| Date Range- <<Percentage Value>> Test Cycle: Executed test cases: <<Value>> Pass test cases: <<Value>> Change Failure RateMultiple Project: Multiple Line Graph with single-select filter Line Graph
Agile Project Management
M1: >50% M2: 30-50%, M3: 20-30%, M4: 10-20%, M5: <10% | ||||
CHANGE FAILURE RATE measures the proportion of builds (changes) that have failed for whatever reason over a given period of time It is calculated as Total no. of failed Builds/Total number of Builds
*If the KPI data is not available for last 5 weeks, the Maturity level will not be shown | Date Range: <<Percentage>> Total number of Changes: <<Value>> Failed Changes: <<Value>> | Ticket Velocity | Line Graph
| Agile Project Management
| N/A | Ticket velocity measures the size of tickets (in story points) completed in a defined duration | Date Range- <<Velocity>> | ||
Team Capacity | Line Graph
| Agile Project Management
| N/A | Team Capacity is sum of capacity of all team member measured in hours during a defined period | Date Range- <<Capacity Hrs>> | ||||
Number of Check-inshelps in measuring the transparency as well the how well the tasks have been broken down. | Line Graph
| Agile Project Management
| M1: 0-2 M2: 2-4 M3: 4-8 M4: 8-16 M5: >16NUMBER OF CHECK-INS helps in measuring the transparency as well the how well the tasks have been broken down. |
| Date: <<Value>> | ||||
Code Build TimeMultiple Project: Multiple Line Graph with single-select filtermeasures the time a job takes to build the code. | Line Graph
| Agile Project Management
| M1 : > 45 min M2 : 30-45 mins M3 : 15-30 min M4 : 5-15 min, M5 : <5 min | CODE BUILD TIME measures the time a job takes to build the code.
| Date Range: <<min>> | ||||
Lead TimeThe graph will have Radio buttonsis the time from the moment when the request was made by a client and placed on a board to when all work on this item is completed and the request was delivered to the client | Visualization: Text + Table
| Agile Project Management
| Lead time M1 : > 60 days M2 : 45-60 days M3 : 30-45 days M4 : 10-30 days, M5 : <10 days Open to Triage M1 : > 30 days M2 : 20-30 days M3 : 10-20 days M4 : 5-10 days, M5 : < 5 days Triage to Complete M1 : > 20 days M2 : 10-20 days M3 : 7-10 days M4 : 3-7 days, M5 : < 3 days Complete to Live M1 : > 30 days M2 : 15-30 days M3 : 5-15 days M4 : 2-5 days, M5 : <2 dayLEAD TIME is the time from the moment when the request was made by a client and placed on a board to when all work on this item is completed and the request was delivered to the client | It is calculated as the sum following Open to Triage: Time taken from ticket creation to it being refined & prioritized for development Triage to Complete: Time taken from start of work on a ticket to it being completed by team Complete to Live: Time taken between ticket completion to it going live. Each of the KPIs are calculated in 'Days' | |||||
Release FrequencyMultiple Project: Multiple Line Graphhighlights the number of releases done in a month | Line Graph
| Agile Project Management
| No Maturity | RELEASE FREQUENCY highlights the number of releases done in a month It is calculated as number of fix versions in JIRA for a Project that have a Release date falling in a particular month
| Month: <<Count>> | ||||
Value delivered (Cost of Delay)Multiple Project: Multiple Line Graphis a prioritization framework that helps a business quantify the economic value of completing a project sooner as opposed to later. | Line Graph
| Agile Project Management
| No MaturityCOST OF DELAY (CoD) is a prioritization framework that helps a business quantify the economic value of completing a project sooner as opposed to later. | It is calculated by adding the following parameters for a Epic or a Feature User-Business Value + Time Criticality + Risk Reduction and/or Opportunity Enablement.
| Month: <<Count>> No. of Epics: <<Count>> |