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Advanced Scrum Metrics - Big Apple Scrum Day - June 1, 2015
30+ metrics in addition to velocity that may help your team improve
Jason Tice | jason@theagilefactor.com | @theagilefactor | www.theagilefactor.com | www.asynchrony.com
Recommendation: Teams should gather several metrics in each of the five categories to assess the impact
of changes – measure just enough to understand & assess vs. measuring for the sake of measurement
Velocity (Process Health)
• What – Number of work items completed in a period
of time
• Why – Assess the impact of team process changes
Cycle Time (Process Health)
• What – Amount of time needed to complete a work
item
• Why – Consistent cycle time increases the
predictability of work
Cumulative Flow (Process Health)
• What – Amount of work-in-progress at any state at
any time
• Why – Identify bottlenecks that reduce flow and
assess the impacts of process changes
Percent Complete & Accurate (Process Health)
• What – Number of completed and acceptable work
items
• Why – Improve delivery by measuring completion and
quality
Flow Efficiency (Process Health)
• What – Ratio of time spent working on an item vs.
time the item waits
• Why – Calibrate WIP limits to minimize delay and
promote flow
Time Blocked per story (Process Health)
• What – Amount of time that a work item was blocked
during its completion
• Why – Determine the cost of delay & propose
proactive mitigations / avoidances
Blocker Clusters (Process Health)
• What – Frequency and grouping of impediments that
block work items
• Why – Identify largest sources of delay and propose
common mitigations
Escaped Defects (Release)
• What – Count of defects that are discovered in
production
• Why – Identify root causes as to why defect was not
detected prior to release
Escaped Defect Resolution Time (Release)
• What – Amount of time required to resolve an
escaped defect
• Why – Understand the cost of resolving escaped
defects
Release Success Rate (Release)
• What – Ratio of accepted vs. rejected releases from
the customer
• Why – Encourage partnership between team &
customer
Release Time (Release)
• What – Amount of time required to release the
product to a production-like environment (or
production itself)
• Why – Establish consensus on sustainable cost/time
for a production or production-like release
Time Since Last Release (Release)
• What – Amount of time since the team last released
their product to “real” users
• Why – Encourage teams to integrate more “real” user
feedback into development activities
Cost Per Release (Release)
• What – The cost to complete a software release
(planned and/or unplanned)
• Why – Enable consideration of economic factors
when deciding when/if to release
Release Net Promoter Score (Release)
• What – Would you recommend this product based on
the new features included with this release?
• Why – Determine if new features align to user needs
Release adoption / install rate (Release)
• What – Number of existing users that have upgraded,
Number of new users gained from release
• Why – Assess ROI on product development and
validate business / market assumptions
Business Value Burnup (Product Dev)
• What – The amount of business value provided by
each completed work item
• Why – Allow customers & stakeholders to manage ROI
Risk Burndown (Product Dev)
• What – Amount of known and unmitigated risk shown
across a period of time
• Why – Encourage self-management to reduce project
risk
Push / Pull (Product Dev)
• What – The ratio / count of work items completed vs.
work items added
• Why – Guard against team being overwhelmed with
work that can compromise promise
Product Forecast (Product Dev)
• What – Future trend lines (best & worst case) based
on historical performance of work item completion
• Why – Predict when future work will be completed
using work item count
Product Net Promoter Score (Product Dev)
• What – Would you recommend this product to a
colleague?
• Why – Gather simple yet comprehensive user
feedback on if the product meets user needs
User Analytics (Product Dev)
• What – Identify usage patterns within the product
• Why – Determine effectiveness of design; look for
emergent usage patterns that warrant consideration
for future investment
Test Coverage (Technical / Code)
• What – Percentage of codebase exercised by various
types of automated tests
• Why – Guide efforts / investments to improve test
coverage to sufficient levels
Build Time (Technical / Code)
• What – Execution time to run build and tests to
provide developer feedback
• Why – Guard against slow builds & test execution that
reduce frequency of feedback
Defect Density (Technical / Code)
• What – Percentage of defects in each area of the
system – determined by functionality or code
architecture
• Why – Identify parts of the app/code where quality
can be improved
Code Churn (Technical / Code)
• What – Number of lines of code changed to complete
a work item
• Why – Assess if the amount of code changed is
reflective of the work item addressed
Code Ownership (Technical / Code)
• What – Frequency that team members change or
commit to each area of the code base
• Why – Assess and promote collective code ownership
Code Complexity (Technical / Code)
• What – Cyclomatic complexity score of product code
base determined by a tool
• Why – Promote engineering practices to create clean
code using quantitative data
Coding Standards Adherence (Technical / Code)
• What – Assessment score of code alignment to
architecture standards
• Why – Promote agreed upon coding standards to
create clean code
Crash Rate (Technical / Code)
• What – Frequency of incidents that cause the
application / product to crash
• Why – Be able to perform root cause analysis to
reduce crashes; Improve the user experience
Happiness Metric (Team / People)
• What – Team member satisfaction as a member of the
team (5 point scale)
• Why – Create transparency regarding team member
satisfaction
Learning Log (Team / People)
• What – A listing of items the team (or team members)
have learned
• Why – Direct focus to the importance of learning on
scrum teams / projects throughout their duration
Team Tenure (Team / People)
• What – How long has each team member been on the
team
• Why – Encourage activities reflective of tenure
(mentoring for new team members, job/knowledge
sharing for long standing team members)
Phone-A-Friend Stats (Team / People)
• What – Number of times a former team member
needs to be contacted for assistance
• Why – Assess effectiveness of job sharing and
knowledge transfer activities as team members
change; Promote sharing of work & knowledge
Whole Team Contribution (Team / People)
• What – Percentage of team members that contribute
to a work item throughout its lifecycle
• Why – Quantitative metric to assess & improve whole-
team approach

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Big Apple Scrum Day 2015 - Advanced Scrum Metrics Reference Sheet

  • 1. Advanced Scrum Metrics - Big Apple Scrum Day - June 1, 2015 30+ metrics in addition to velocity that may help your team improve Jason Tice | jason@theagilefactor.com | @theagilefactor | www.theagilefactor.com | www.asynchrony.com Recommendation: Teams should gather several metrics in each of the five categories to assess the impact of changes – measure just enough to understand & assess vs. measuring for the sake of measurement Velocity (Process Health) • What – Number of work items completed in a period of time • Why – Assess the impact of team process changes Cycle Time (Process Health) • What – Amount of time needed to complete a work item • Why – Consistent cycle time increases the predictability of work Cumulative Flow (Process Health) • What – Amount of work-in-progress at any state at any time • Why – Identify bottlenecks that reduce flow and assess the impacts of process changes Percent Complete & Accurate (Process Health) • What – Number of completed and acceptable work items • Why – Improve delivery by measuring completion and quality Flow Efficiency (Process Health) • What – Ratio of time spent working on an item vs. time the item waits • Why – Calibrate WIP limits to minimize delay and promote flow Time Blocked per story (Process Health) • What – Amount of time that a work item was blocked during its completion • Why – Determine the cost of delay & propose proactive mitigations / avoidances Blocker Clusters (Process Health) • What – Frequency and grouping of impediments that block work items • Why – Identify largest sources of delay and propose common mitigations Escaped Defects (Release) • What – Count of defects that are discovered in production • Why – Identify root causes as to why defect was not detected prior to release Escaped Defect Resolution Time (Release) • What – Amount of time required to resolve an escaped defect • Why – Understand the cost of resolving escaped defects Release Success Rate (Release) • What – Ratio of accepted vs. rejected releases from the customer • Why – Encourage partnership between team & customer Release Time (Release) • What – Amount of time required to release the product to a production-like environment (or production itself) • Why – Establish consensus on sustainable cost/time for a production or production-like release Time Since Last Release (Release) • What – Amount of time since the team last released their product to “real” users • Why – Encourage teams to integrate more “real” user feedback into development activities Cost Per Release (Release) • What – The cost to complete a software release (planned and/or unplanned) • Why – Enable consideration of economic factors when deciding when/if to release Release Net Promoter Score (Release) • What – Would you recommend this product based on the new features included with this release? • Why – Determine if new features align to user needs Release adoption / install rate (Release) • What – Number of existing users that have upgraded, Number of new users gained from release • Why – Assess ROI on product development and validate business / market assumptions Business Value Burnup (Product Dev) • What – The amount of business value provided by each completed work item • Why – Allow customers & stakeholders to manage ROI
  • 2. Risk Burndown (Product Dev) • What – Amount of known and unmitigated risk shown across a period of time • Why – Encourage self-management to reduce project risk Push / Pull (Product Dev) • What – The ratio / count of work items completed vs. work items added • Why – Guard against team being overwhelmed with work that can compromise promise Product Forecast (Product Dev) • What – Future trend lines (best & worst case) based on historical performance of work item completion • Why – Predict when future work will be completed using work item count Product Net Promoter Score (Product Dev) • What – Would you recommend this product to a colleague? • Why – Gather simple yet comprehensive user feedback on if the product meets user needs User Analytics (Product Dev) • What – Identify usage patterns within the product • Why – Determine effectiveness of design; look for emergent usage patterns that warrant consideration for future investment Test Coverage (Technical / Code) • What – Percentage of codebase exercised by various types of automated tests • Why – Guide efforts / investments to improve test coverage to sufficient levels Build Time (Technical / Code) • What – Execution time to run build and tests to provide developer feedback • Why – Guard against slow builds & test execution that reduce frequency of feedback Defect Density (Technical / Code) • What – Percentage of defects in each area of the system – determined by functionality or code architecture • Why – Identify parts of the app/code where quality can be improved Code Churn (Technical / Code) • What – Number of lines of code changed to complete a work item • Why – Assess if the amount of code changed is reflective of the work item addressed Code Ownership (Technical / Code) • What – Frequency that team members change or commit to each area of the code base • Why – Assess and promote collective code ownership Code Complexity (Technical / Code) • What – Cyclomatic complexity score of product code base determined by a tool • Why – Promote engineering practices to create clean code using quantitative data Coding Standards Adherence (Technical / Code) • What – Assessment score of code alignment to architecture standards • Why – Promote agreed upon coding standards to create clean code Crash Rate (Technical / Code) • What – Frequency of incidents that cause the application / product to crash • Why – Be able to perform root cause analysis to reduce crashes; Improve the user experience Happiness Metric (Team / People) • What – Team member satisfaction as a member of the team (5 point scale) • Why – Create transparency regarding team member satisfaction Learning Log (Team / People) • What – A listing of items the team (or team members) have learned • Why – Direct focus to the importance of learning on scrum teams / projects throughout their duration Team Tenure (Team / People) • What – How long has each team member been on the team • Why – Encourage activities reflective of tenure (mentoring for new team members, job/knowledge sharing for long standing team members) Phone-A-Friend Stats (Team / People) • What – Number of times a former team member needs to be contacted for assistance • Why – Assess effectiveness of job sharing and knowledge transfer activities as team members change; Promote sharing of work & knowledge Whole Team Contribution (Team / People) • What – Percentage of team members that contribute to a work item throughout its lifecycle • Why – Quantitative metric to assess & improve whole- team approach