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Measuring Efficiency and 
Productivity of a team 
Albert Arul Prakash
Measuring the performance 
#Management is to confuse #measuring with 
#acting, #targets with #performance, and 
#planning with #change. #beta #stoos #agile 
-Niels Pflaeging 
Author of Organize for Complexity
Measuring number of hours 
• We measure efficiency and productivity by 
number of hours a team member worked. 
Productivity No. hours worked
Efficiency of team member 
• Always gauged by the amount of time taken to 
complete a task 
More time than planned = Less efficient 
Less time than planned = More efficient
Hours – The Decider
Workaround 
• Add Sponge at every stage. 
• Always plan for worst day not for normal day
Reports
Problems with tradition 
Individual 
• Not being transparent in accepting mistakes 
• Trying to defend themselves 
• Finger-pointing at others 
• Never trying getting help from others 
• Never taking ownership 
Team 
• Low productivity 
• Team morale 
• No ownership of what they do 
• Hiding the ant until it becomes an elephant 
• No communication on the issues they face
Do we need hours 
• Hours is not 
used in 
– Release plan 
– Velocity 
calculation 
– Sprint planning 
– Ball park 
estimate
Measuring efficiency without hours 
• Number of bugs in the 
system 
– QA specialist: 
• How many bugs did you find 
early, even before the build, 
that were fixed by 
developers? 
• How many very critical bugs 
were found after the build? 
– Dev. specialist: 
• How many were avoided in 
the second run and fixed 
immediately? 
• How many were critical? 
– How improved is the 
turnaround time to fix a bug 
during a time period
Measuring efficiency without hours 
• Test scenarios and use cases 
covered 
– QA specialist: 
• How many valuable 
scenarios/use cases were written 
to cover the story? 
• How many critical scenarios were 
identified and shared with others 
early during the sprint? 
– Dev. specialist: 
• What was your contribution in 
developing those scenarios/use 
cases? 
– How collaborative team were to 
develop those scenarios and 
use cases
Measuring efficiency without hours 
• Refining 
requirements 
– Team: 
• What is your 
contribution in refining 
the backlog by adding 
details to the 
requirements? 
– How vocal the team 
is?
Measuring productivity 
• Quality of code 
– How good was the code? 
– What are the 
improvements seen over a 
period? 
– How good was the code 
coverage using the unit 
testing? 
– How productive the 
refactoring effort were 
during a particular timeline 
– How often we refactor?
Measuring productivity 
• Difference between Planned vs Actual stories 
in a sprint 
• Velocity improvements over a time period 
• How collaborative and vocal the team is in 
– Solving problems 
– Raising issues 
• What value the team brings in standup

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  • 1. Measuring Efficiency and Productivity of a team Albert Arul Prakash
  • 2. Measuring the performance #Management is to confuse #measuring with #acting, #targets with #performance, and #planning with #change. #beta #stoos #agile -Niels Pflaeging Author of Organize for Complexity
  • 3. Measuring number of hours • We measure efficiency and productivity by number of hours a team member worked. Productivity No. hours worked
  • 4. Efficiency of team member • Always gauged by the amount of time taken to complete a task More time than planned = Less efficient Less time than planned = More efficient
  • 5. Hours – The Decider
  • 6. Workaround • Add Sponge at every stage. • Always plan for worst day not for normal day
  • 8. Problems with tradition Individual • Not being transparent in accepting mistakes • Trying to defend themselves • Finger-pointing at others • Never trying getting help from others • Never taking ownership Team • Low productivity • Team morale • No ownership of what they do • Hiding the ant until it becomes an elephant • No communication on the issues they face
  • 9. Do we need hours • Hours is not used in – Release plan – Velocity calculation – Sprint planning – Ball park estimate
  • 10. Measuring efficiency without hours • Number of bugs in the system – QA specialist: • How many bugs did you find early, even before the build, that were fixed by developers? • How many very critical bugs were found after the build? – Dev. specialist: • How many were avoided in the second run and fixed immediately? • How many were critical? – How improved is the turnaround time to fix a bug during a time period
  • 11. Measuring efficiency without hours • Test scenarios and use cases covered – QA specialist: • How many valuable scenarios/use cases were written to cover the story? • How many critical scenarios were identified and shared with others early during the sprint? – Dev. specialist: • What was your contribution in developing those scenarios/use cases? – How collaborative team were to develop those scenarios and use cases
  • 12. Measuring efficiency without hours • Refining requirements – Team: • What is your contribution in refining the backlog by adding details to the requirements? – How vocal the team is?
  • 13. Measuring productivity • Quality of code – How good was the code? – What are the improvements seen over a period? – How good was the code coverage using the unit testing? – How productive the refactoring effort were during a particular timeline – How often we refactor?
  • 14. Measuring productivity • Difference between Planned vs Actual stories in a sprint • Velocity improvements over a time period • How collaborative and vocal the team is in – Solving problems – Raising issues • What value the team brings in standup