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What’s Wrong With Estimates? 
A Journey with LEGO and Maths
In My World (Agile-EA)
In My Head (Helpful?)
…And It Works! 
Example: Custom Load 
Balancing Algorithm in 
2000 
Focused on computational 
cost of calculating 
Averages <- SERIOUSLY!!
…And It Works! (Contd)
Healthy Respect for New Stuff!
Estimates 
• Traditionally Blamed for Project Failure 
• We Don’t Like Being Held to Them 
• Blame Ensues 
– “You told me it would take this long” (external) 
– “I failed to hit my own deadline” (internal)
However, Estimates… 
• Never Killed A Project! 
– Variance Between Estimate & Actual Time/Cost Killed it! 
• Set Expectations 
– Uncertainty & Stakeholder Expectation Badly Managed 
• Deliver one ‘half’ of Value Equation 
– Like it or not, cost is the other 
• Salaries, Recruitment, Capex, Opex, SaaS… 
• Stakeholders Don’t Understand Variance 
• Larger Estimates = Uncertainty Higher 
• Humans Better At Smaller Estimates!
ACTIVITY: Audience Participation 
• Score-sheet Coming 
Round 
1. Shown Patterns of Red 
Dots for 2 seconds 
2. Count/Estimate 
Number of Dots 
3. 5 Second Countdown 
4. This will be repeated 
10 times 
5. Swap Scorecards & 
Total Results 
Yes, there is 3!
Question 1
5 
4 
3 
2 
1
Question 2
5 
4 
3 
2 
1
Question 3
5 
4 
3 
2 
1
Question 4
5 
4 
3 
2 
1
Question 5
5 
4 
3 
2 
1
Question 6
5 
4 
3 
2 
1
Question 7
5 
4 
3 
2 
1
Question 8
5 
4 
3 
2 
1
Question 9
5 
4 
3 
2 
1
Question 10
5 
4 
3 
2 
1
End of Activity 
(You can now relax)
Relevant Concepts… 
• Humans Naturally Remember (& Process) 5 to 9 
items 
– More Leads to Confusion & Complexity 
– Less and You’re Easily Confused :o) 
– Stories of 8+ Points Need Breaking Down 
• Regularity Makes Estimates Easier 
– Low/Zero Variance 
– Use Lessons Learned/Code Libraries As-is 
– e.g. Squares Easiest to Estimate (measure one side 
and square it)
However… 
• Coder’s World is [Mostly] 
Uncertain!! 
• Regularity Doesn’t Exist! 
– No two projects/Components 
are exactly the same. 
• Usually > 9 items of 
ANYTHING 
– Components 
– Classes 
– Methods 
– Lines of Code 
• Continually look at points 
distribution! Or do ‘1-point’ 
stories (e.g. #NoEstimates) 
Time 
Frequency 
Actual Client Data
Tackling Uncertainty 
• Split into Predictable Chunks, Then Aggregate 
• Use Small Chunks - Lowers Variability (& Confusion) 
• Beware Relationships! Any Relationship is Complex! Especially if Shared! 
• Use what you know as a baseline and LEARN! 
• = More ‘Accurate’ Delivery! 
4 = 14, 
4 
3 
3 
= + = 10 
9 1
Cone of Uncertainty 
Large Chunk Project 
(BDUF/RUP) = Long 
Feedback Cycle. Slow 
journey to certainty 
Small Chunk Project 
(Sprint/Iteration) = 
Frequent Learning, Moves 
towards Certainty, 
Descends Cone Faster 
Predictability 
Time 
Uncertainty Curve 
KEY
So, Get Feedback Fast! 
• Make Small Changes 
• Change one thing! 
• Deploy & Evaluate Efficacy 
Bigger Tasks Lose Accuracy, Reduce Certainty 
and ‘Quality’ of Knowledge!
Which Looks More Accurate? 
Hamley’s Queen Ethar’s Lego Queen 
OR
Small tasks, small batches, small cycles, small timescales, small change, 
small planning… 
TAKEAWAY: KEEP STUFF SMALL!
BUT…
ACTIVITY: Can it be Too Small? 
Team A: 2 Dev + Product Owner 
• 8 sticks x 5 blocks each 
• Each block is a task 
• Each task 
– Pull in stack 
– Take 2 blocks from stack 
– Place into ready 
• Pay Per Delivery 
Team B: 4 Dev + Product Owner 
• 8 sticks x 5 blocks each 
• Each block is a task 
• Each task 
– Pull in stack 
– Take 1 block from stack 
– Place in ready 
• Pay Per Delivery 
Question: Who Wins? Why?
Beware Context Switching 
• What are context 
switches? 
– Task Done that Doesn’t 
Add Value! 
• The ‘Zero’ cost switch… 
– …Doesn’t exist! 
• Switching yourself 
between tasks… 
• But what else? 
Tasks Between Stages!! 
– Columns, People, 
Boards… 
Total Replatforms 
Large Business Pivots 
Mass Change 
Programmes 
Entire Codebase Rewrite 
…
Small tasks, small batches, small cycles, small timescales, small change, 
small planning… 
TAKEAWAY: KEEP STUFF SMALL! 
(INCLUDING CONTEXT SWITCH COST)
Thanks for Watching 
Links 
Kanban Simulator 
http://www.kanbansim.org/ 
Queuing Theory 
http://en.wikipedia.org/wiki/Queueing_theory 
Attribution 
All images courtesy of Google images and are the property of their respective owners 
Ethar Alali @EtharUK @Dynacognetics 
Managing Director & Chief Architect 
Polymath-MathMo. Programming since 9 years old. TOGAF 9 Certified, change 
agent. 
Blog: GoadingtheITGeek.blogspot.co.uk 
About Me 
Managing Director/CEO of Dynacognetics. 
Specialist Agile-EA, ICT Strategist & Advisor. 
Member of HiveMind Network. 
Accredited Growth Voucher Advisor 
certified to deliver IT & Web Growth 
Consultancy to SMEs and Startups as part of 
the government’s Growth Voucher Scheme. 
Accreditations & Associations
Q & A

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Agile Estimation @ Lean Agile Manchester: Make Estimates Small!

  • 1. What’s Wrong With Estimates? A Journey with LEGO and Maths
  • 2. In My World (Agile-EA)
  • 3. In My Head (Helpful?)
  • 4. …And It Works! Example: Custom Load Balancing Algorithm in 2000 Focused on computational cost of calculating Averages <- SERIOUSLY!!
  • 6. Healthy Respect for New Stuff!
  • 7. Estimates • Traditionally Blamed for Project Failure • We Don’t Like Being Held to Them • Blame Ensues – “You told me it would take this long” (external) – “I failed to hit my own deadline” (internal)
  • 8. However, Estimates… • Never Killed A Project! – Variance Between Estimate & Actual Time/Cost Killed it! • Set Expectations – Uncertainty & Stakeholder Expectation Badly Managed • Deliver one ‘half’ of Value Equation – Like it or not, cost is the other • Salaries, Recruitment, Capex, Opex, SaaS… • Stakeholders Don’t Understand Variance • Larger Estimates = Uncertainty Higher • Humans Better At Smaller Estimates!
  • 9. ACTIVITY: Audience Participation • Score-sheet Coming Round 1. Shown Patterns of Red Dots for 2 seconds 2. Count/Estimate Number of Dots 3. 5 Second Countdown 4. This will be repeated 10 times 5. Swap Scorecards & Total Results Yes, there is 3!
  • 11. 5 4 3 2 1
  • 13. 5 4 3 2 1
  • 15. 5 4 3 2 1
  • 17. 5 4 3 2 1
  • 19. 5 4 3 2 1
  • 21. 5 4 3 2 1
  • 23. 5 4 3 2 1
  • 25. 5 4 3 2 1
  • 27. 5 4 3 2 1
  • 29. 5 4 3 2 1
  • 30. End of Activity (You can now relax)
  • 31. Relevant Concepts… • Humans Naturally Remember (& Process) 5 to 9 items – More Leads to Confusion & Complexity – Less and You’re Easily Confused :o) – Stories of 8+ Points Need Breaking Down • Regularity Makes Estimates Easier – Low/Zero Variance – Use Lessons Learned/Code Libraries As-is – e.g. Squares Easiest to Estimate (measure one side and square it)
  • 32. However… • Coder’s World is [Mostly] Uncertain!! • Regularity Doesn’t Exist! – No two projects/Components are exactly the same. • Usually > 9 items of ANYTHING – Components – Classes – Methods – Lines of Code • Continually look at points distribution! Or do ‘1-point’ stories (e.g. #NoEstimates) Time Frequency Actual Client Data
  • 33. Tackling Uncertainty • Split into Predictable Chunks, Then Aggregate • Use Small Chunks - Lowers Variability (& Confusion) • Beware Relationships! Any Relationship is Complex! Especially if Shared! • Use what you know as a baseline and LEARN! • = More ‘Accurate’ Delivery! 4 = 14, 4 3 3 = + = 10 9 1
  • 34. Cone of Uncertainty Large Chunk Project (BDUF/RUP) = Long Feedback Cycle. Slow journey to certainty Small Chunk Project (Sprint/Iteration) = Frequent Learning, Moves towards Certainty, Descends Cone Faster Predictability Time Uncertainty Curve KEY
  • 35. So, Get Feedback Fast! • Make Small Changes • Change one thing! • Deploy & Evaluate Efficacy Bigger Tasks Lose Accuracy, Reduce Certainty and ‘Quality’ of Knowledge!
  • 36. Which Looks More Accurate? Hamley’s Queen Ethar’s Lego Queen OR
  • 37. Small tasks, small batches, small cycles, small timescales, small change, small planning… TAKEAWAY: KEEP STUFF SMALL!
  • 39. ACTIVITY: Can it be Too Small? Team A: 2 Dev + Product Owner • 8 sticks x 5 blocks each • Each block is a task • Each task – Pull in stack – Take 2 blocks from stack – Place into ready • Pay Per Delivery Team B: 4 Dev + Product Owner • 8 sticks x 5 blocks each • Each block is a task • Each task – Pull in stack – Take 1 block from stack – Place in ready • Pay Per Delivery Question: Who Wins? Why?
  • 40. Beware Context Switching • What are context switches? – Task Done that Doesn’t Add Value! • The ‘Zero’ cost switch… – …Doesn’t exist! • Switching yourself between tasks… • But what else? Tasks Between Stages!! – Columns, People, Boards… Total Replatforms Large Business Pivots Mass Change Programmes Entire Codebase Rewrite …
  • 41. Small tasks, small batches, small cycles, small timescales, small change, small planning… TAKEAWAY: KEEP STUFF SMALL! (INCLUDING CONTEXT SWITCH COST)
  • 42. Thanks for Watching Links Kanban Simulator http://www.kanbansim.org/ Queuing Theory http://en.wikipedia.org/wiki/Queueing_theory Attribution All images courtesy of Google images and are the property of their respective owners Ethar Alali @EtharUK @Dynacognetics Managing Director & Chief Architect Polymath-MathMo. Programming since 9 years old. TOGAF 9 Certified, change agent. Blog: GoadingtheITGeek.blogspot.co.uk About Me Managing Director/CEO of Dynacognetics. Specialist Agile-EA, ICT Strategist & Advisor. Member of HiveMind Network. Accredited Growth Voucher Advisor certified to deliver IT & Web Growth Consultancy to SMEs and Startups as part of the government’s Growth Voucher Scheme. Accreditations & Associations
  • 43. Q & A