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Anything that is marked RED, is part of Backlog

Story

KPI Name / Definition

Representation

Tool

Maturity Levels

KPI Calculation

On Hover

Remarks

Status

Line Graph

Issue Count

measures the overall work taken in a sprint

Line Graph

Y- Axis - Count
X- Axis - Sprints
Aggregation Method - Sum
Positive trend indication - N/A

Agile Project Management

Jira
Azure

No Maturity Trend

It is calculated as No. of stories tagged to a Sprint

Sprint Name: <<Value>>

‘Story count issue type’ is used to identify issues that are considered for Story count issue type
Issues defined in the configuration filter our the from the issues mentioned in the Sprint Report (Completed and Not Completed category)

Sprint Velocity

measures the rate at which a team can deliver every Sprint.

Since a stable velocity helps in forecasting, the KPI also measures the last 5 sprints average velocity and plots it along with the sprint velocity

Line Graph

Y- Axis - Count
X- Axis - Sprints
Aggregation Method - Sum
Positive trend indication - N/A

Agile Project Management

Jira
Azure

No Maturity Trend

SPRINT VELOCITY calculated as Sum of story points of all stories completed within a Sprint

Last 5 sprints

Sprint Name: <<Value>>

This KPI calculation is based on the total story points of all issues from the completed issues in the Sprint Report
If estimation is configured as Original Estimation for the board, then calculation is based on the total original estimate of all issues from the completed issues in the Sprint Report (Total hours will be converted to story points, i.e., 8 hrs = 1sp)

Sprint Capacity Utilization

depicts the maximum amount of time a team can commit within sprint

Line Graph + Column chart

Y- Axis - Hours
X- Axis - Sprints
Aggregation Method - Sum
Positive trend indication - N/A

Agile Project Management

Jira
Azure

No Maturity Trend

SPRINT CAPACITY UTILIZATION

This KPI is calculated based on 2 parameters

Estimated Hours: It explains the total hours required to complete Sprint backlog. The capacity is defined in KnowHOW

Logged Work: The amount of time team has logged within a Sprint. It is derived as sum of all logged work against issues tagged to a Sprint in Jira

Sprint Name: <<Value>>

Logged work will be represented by line graph whereas Estimated hours are represented by bar graph
Estimated hours can be manually entered by users from the Capacity screen in KnowHOW (Settings-->Upload Data-->Capacity)

Sprint Predictability

Average Resolution time

measures average time taken to complete an issue that could be a story or bug etc.

Commitment Reliability

measures the percentage work completed at the end of a sprint in comparison to the total work in the sprint

Line Graph

Y- Axis -

Days

Percentage
X- Axis - Sprints
Aggregation Method - Average
Positive trend indication -

Decrease

Increase

Agile Project Management

Jira
Azure

M1

: => 10 days

- <40%

M2

: 8-10 days

- 40-60%

M3

: 5-8 days

- 60-75%

M4

: 3-5 days

- 75% - 90% ,

M5

: <= 3 daysSum of resolution times of all issues completed in the Sprint/No. of issues completed within a sprint

- > 90%

It is calculated No. of issues or Size of issues completed/No. of issues or Size of issues committed

It is calculated as a

‘Days’

'Percentage'.

Fewer the days better is the ‘Speed’

Higher the percentage during a sprint, better forecasting can be done for future sprints
Maturity of the KPI is calculated based on the average of last 5 values that corresponds with the maturity scale

*If the KPI data is not available for last 5 sprints, the Maturity level will not be shown

Sprint Name: <<Value>>

Overall filter option is configurable at the instance level

Number of Check-ins & Merge requests

helps in measuring the transparency as well the how well the tasks have been broken down.

Line Graph

Y- Axis - Count

X- Axis - Days

Aggregation Method - Sum'

Date: <<Value>>

Mean time to merge

measures the efficiency of the code review process in a a team

Line Graph

Sprint Name: <<Percentage Value>>

Delivered: <<Count/Size>>

Committed: <<Count/Size>>

Users can ‘Filter by Issue type’. Upon selection of an issue type from the filter, the trend graph shows the commitment reliability for selected issue type
Another filter allows the user to see the delivered percentage w.r.t either
1. Initial commitment based on Issue count
2. Initial commitment based on Story Points
3. Final Scope based on Issue Count
4. Final Scope based on Story Points

Sprint Predictability

Measures the percentage the iteration velocity against the average velocity of last 3 iteration.

Line Graph

Y- Axis - Percentage
X- Axis - Sprints
Aggregation Method - Average
Positive trend indication - Increase

Agile Project Management

Jira

Repos

M1: 0-2

M2: 2-4

M3: 4-8

M4: 8-16

M5: >16

NUMBER OF MERGE REQUESTS when looked at along with commits highlights the efficiency of the review process

It is calculated as a Count. Higher the count better is the ‘Speed’
Maturity of the KPI is calculated based on the latest value

Azure

M5 - 95% -105%
M4 - 85-95%, 105-115%
M3 - 75-85%, 115-125%
M2 - 60-75%, 125-140%
M1 - <60%, >140%

It is calculated as

sprint velocity of the targeted sprint/average sprint velocity of previous 3 sprints

Sprint Name: <<Percentage Value>>

Sprint Capacity Utilization

explains the effectiveness of sprint planning and sprint execution.

Line Graph + Column chart

Y- Axis - Hours
X- Axis -

Weeks

Sprints
Aggregation Method -

Average

Sum
Positive trend indication -

Decrease

N/A	Agile Project Management Jira

Repos

Azure

M1:

> 48 Hours

<20%

M2:

16

20-

48 Hours

40%,

M3:

8

40-

16 Hours

60%,

M4:

4

60-

8 Hours

80%,

M5:

<4 Hours

It is calculated in ‘Hours’. Fewer the Hours better is the ‘Speed’
Maturity of the KPI is calculated based on the average of last 5 values that corresponds with the maturity scale

Date Range: <<Hours>

Code Build Time

measures the time a job takes to build the code.

>80%

SPRINT CAPACITY UTILIZATION

This KPI is calculated based on 3 parameters and showcases 2 views

Available Capacity: It depicts the total hours available for the Sprint . The capacity can defined in KnowHOW. Refer to Capacity Management

Estimated Hours: Sum of the estimation of all issues taken in the sprint is considered as Estimated hours

Logged Hours: The amount of time team has logged within a Sprint. It is derived as sum of all logged work against issues tagged to a Sprint in Jira

Sprint Name: <<Value>>

Logged work will be represented by line graph whereas Estimated hours are represented by bar graph
Estimated hours can be manually entered by users from the Capacity screen in KnowHOW (Settings-->Upload Data-->Capacity)
An additional configuration allows to exclude spilled issues from Estimated Hours and Logged Hours calculation
Enhanced to include the Original Estimate added in subtasks when calculating the estimation for the main story. (Release 8.0.0)

Scope Churn

Scope churn explains the change in the scope of sprint since the start of iteration

Line Graph

Y- Axis -

Min

Percentage
X- Axis -

Weeks

Sprints
Aggregation Method - Average
Positive trend indication - Decrease

Agile Project Management

Jenkins

Jira

Bamboo

Azure

M1:

> 45 min

>50%

M2: 30-

45 mins

50%

M3:

15

20-

30 min

30%

M4:

5-15 min,

10-20%

M5:

<5 min

It is calculated in ‘Mins’. Lesser the time better is the ‘Speed’
Maturity of the KPI is calculated based on the average of last 5 values that corresponds with the maturity scale

Date Range: <<min>>

Lead 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

Visualization: Text + Table

Y- Axis - Percentage

X- Axis - N/A

Aggregation Method - Average

Positive trend indication - Decrease

Commitment Reliability

measures the percentage work completed at the end of a sprint in comparison to the total work in the sprint

Line Graph

Y- Axis - Percentage

X- Axis - Sprints

<10%

Scope Churn = (Stories added + Stories removed) / Count of Stories in Initial Commitment at the time of Sprint start

Sprint Name: <<Value>>

Issue type to identify story

Planning Accuracy

measures if the team is planning iterations based on either capacity or the historical velocity.

Line Graph

Y- Axis - Story Points/Hrs
X- Axis - Sprints
Aggregation Method - Sum
Positive trend indication - Difference

Agile Project Management

Jira
Azure

Lead time

M1 : > 60 days

M2 : 45-60 days

M3 : 30-45 days

M4 : 10-30 days,

M5 : <10 days

Intake to DOR

M1 : > 30 days

M2 : 20-30 days

M3 : 10-20 days

M4 : 5-10 days,

M5 : < 5 days

DOR to DOD

M1 : > 20 days

M2 : 10-20 days

M3 : 7-10 days

M4 : 3-7 days,

M5 : < 3 days

DOD to Live

M1 : > 30 days

M2 : 15-30 days

M3 : 5-15 days

M4 : 2-5 days,

M5 : <2 day

It is calculated as the sum of Ideation time, Development time & Release time

Ideation time (Intake to DOR): Time taken from issue creation to it being ready for Sprint

Development time (DOR to DOD): Time taken from start of work on an issue to it being completed in the Sprint as per DOD

Release time (DOD to Live): Time taken between story completion to it going live.

Each of the KPIs are calculated in 'Days' . Lower the time, better is the speed & efficiency of that phase

Sprint Name: <<Days>>

'Lead time issue type’ is used to identify issues that are considered for Lead time KPI issue type which falls under Jira/Azure Mappings--> Issue type mappings.
Mappings ‘Live Status-Lead time', ‘DOR-Lead time’ & 'DOD Status’ are used to identify issue with particular status which falls under Jira/Azure Mappings--> Workflow status mappings.

M5 - 95% -105%
M4 - 85-95%, 105-115%
M3 - 75-85%, 115-125%
M2 - 60-75%, 125-140%
M1 - <60%, >140%

Based on Average Velocity

Planned work in SP/Average Velocity

Based on Planned Capacity

Planned work/Available Capacity

Sprint

Average Velocity/Planned Capacity - 50 SP or100 Hrs

Planned work - 50 SP or100 Hrs

Under configuration, user gets to select through a radio button

Based on Average Velocity
Based on Planned Capacity

Code Build Time

measures the time a job takes to build the code.

Line Graph

Y- Axis - Min
X- Axis - Weeks
Aggregation Method - Average
Positive trend indication -

Increase

Decrease

Agile Project Management

Jira

Jenkins
Bamboo
Azure

M1

- <40%

: > 45 min

M2

- 40-60%

: 30-45 mins

M3

- 60-75%

: 15-30 min

M4

- 75% - 90%

: 5-15 min,

M5

- > 90%

: <5 min

It is calculated

No. of issues or Size of issues completed/No. of issues or Size of issues committedIt is calculated as a 'Percentage'. Higher the percentage during a sprint, better forecasting can be done for future sprintsCommitted: <<Count/Size>>

in ‘Mins’. Lesser the time better is the ‘Speed’
Maturity of the KPI is calculated based on the average of last 5 values that corresponds with the maturity scale

Sprint Name: <<Percentage Value>>

Delivered: <<Count/Size>>

Date Range: <<min>>

Versions Compared

Old Version 10

New Version Current

Key

Issue Count

Sprint Velocity

Sprint Capacity Utilization

Sprint Predictability

Average Resolution time

Commitment Reliability

Number of Check-ins & Merge requests

Mean time to merge

Sprint Predictability

Sprint Capacity Utilization

Code Build Time

Scope Churn

Lead Time

Commitment Reliability

Planning Accuracy

Code Build Time