SlideShare a Scribd company logo
1 of 62
@MikeKvintus
Worthless Story Card Estimates
Mike Kvintus
@MikeKvintus@MikeKvintus
Iteration Manager at LeanDog
http://www.leandog.com/holiday/
Bio
@MikeKvintus@MikeKvintus
I have nearly 20 years of experience using agile methods to develop
software in numerous industries
Bio
@MikeKvintus@MikeKvintus
Bio
I’m passionate about finding better ways to develop/deliver
software and remove waste from software delivery processes
@MikeKvintus@MikeKvintus
Bio
I’m also an active member of the software development community
@MikeKvintus@MikeKvintus
@MikeKvintus@MikeKvintus
How About
I’ve been collecting data on various ways of tracking the progress of projects
and running experiments with estimation
@MikeKvintus@MikeKvintus
Why I’m Here
I heard about and researched #NoEstimates and was intrigued
But I had a few questions
❏Is story card estimation really waste?
❏Can projects really work by counting cards instead of using points?
❏I can see how #NoEstimates works for special cases but could it work
for our projects?
@MikeKvintus@MikeKvintus
Agenda
❏Agile Estimation Overview
❏Pitfalls of Estimation
❏Review The Collected Data
❏Observations From The Data
❏Other Considerations
❏Where To Go Next
@MikeKvintus@MikeKvintus
We need estimates to provide predictability to
our teams, customers, and other stakeholders!
@MikeKvintus@MikeKvintus
Overview of #NoEstimates
❏Some of the most vocal proponents are Neil Killick, Woody Zuill, Vasco
Duarte, and others
❏#NoEstimates - http://neilkillick.com/category/noestimates/
❏noestimates.org
❏Started as a movement to address the pitfalls and fallacies of estimation
❏The Common Ground of #Estimates and #NoEstimates
@MikeKvintus@MikeKvintus
Overview of Agile Estimation
1. Identify story cards
2. Break work down into bite size stories
3. 3 amigos/fab five discussion of the stories
a. Planning poker, etc to estimate work
@MikeKvintus
Seems Simple
@MikeKvintus@MikeKvintus
@MikeKvintus@MikeKvintus
Estimation Is Good Right?
❏Planning fallacy - optimism bias
❏Halo effect
❏Overconfidence
❏We don’t account for the unknown
❏And many more
@MikeKvintus@MikeKvintus
Even If You Could Estimate Perfectly..
There are still many things that will affect a plan:
You don’t know everything!
People are not machines!
@MikeKvintus
But There Are Good Ways to
Estimate
@MikeKvintus@MikeKvintus
People Have Solved
Estimation Problems
Lots of books and software to fix this problem, we just need to use them
@MikeKvintus@MikeKvintus
People Have Solved
Estimation Problems
Track projects and use history to predict future projects
@MikeKvintus@MikeKvintus
But
Building software is not like building bridges
People inherently are not good at estimation
Hofstadter's Law: It always takes longer than you expect,
even when you take into account Hofstadter's Law
@MikeKvintus@MikeKvintus
And Studies Still Show
We don’t know
❏How to Accurately Estimate the Effort of Mega - large, Complicated
Software Projects
❏How to Measure Software Size and Complexity for Accurate Estimation
❏How to Measure and Predict Productivity
@MikeKvintus
OK, What Else Could Go Wrong?
@MikeKvintus@MikeKvintus
Estimation Abuse
Work expands to fill the time allocated
@MikeKvintus@MikeKvintus
Estimation Abuse
Estimates are padded in an attempt to CYA
@MikeKvintus@MikeKvintus
Estimation Abuse
You finished story X faster than your estimate
@MikeKvintus@MikeKvintus
Estimation Abuse
It took you much longer to complete a story
@MikeKvintus@MikeKvintus
Graphs/Data
❏ LeanDog Studio collects and tracks data on all the projects we execute
❏ We use information radiators to make the data visible to all
❏ Our projects are quite varied in industry domain, tech stack, company
type (large corporations to small startups), and size while also having
different team members
❏ I wondered if the points on story cards really mattered or could we just
count the number of cards
@MikeKvintus@MikeKvintus
LeanDog Studio Project Radiator
@MikeKvintus@MikeKvintus
LeanDog Studio Project Radiator
@MikeKvintus@MikeKvintus
Graphs/Data
❏I compared points vs cards from 2 perspectives
❏ Backlog - The amount of work identified to be done
❏ Burnup - The amount of work done
❏I also compared tracking the count of only feature cards vs tracking the
count of feature, bug, and chore cards
❏Comparison of 9 different projects that varied in
❏ Team members/sizes
@MikeKvintus
(Backlog)
@MikeKvintus@MikeKvintus
Graphs/Data
@MikeKvintus@MikeKvintus
@MikeKvintus@MikeKvintus
@MikeKvintus@MikeKvintus
@MikeKvintus@MikeKvintus
@MikeKvintus@MikeKvintus
@MikeKvintus@MikeKvintus
@MikeKvintus@MikeKvintus
@MikeKvintus@MikeKvintus
@MikeKvintus
(Completed Work)
@MikeKvintus@MikeKvintus
@MikeKvintus@MikeKvintus
@MikeKvintus@MikeKvintus
@MikeKvintus@MikeKvintus
@MikeKvintus@MikeKvintus
@MikeKvintus@MikeKvintus
@MikeKvintus@MikeKvintus
@MikeKvintus@MikeKvintus
@MikeKvintus@MikeKvintus
@MikeKvintus@MikeKvintus
Observations From The Data
❏Counting cards can be a viable replacement for using story points for well
defined work in our environment
❏This works both to track progress and backlog size
@MikeKvintus@MikeKvintus
But I realized..
Even though the projects were widely varied, there were some consistencies:
❏The teams were made of highly talented/experienced people
❏Projects follow common practices, including breaking story cards
down into relatively small sizes
Thus YMMV
@MikeKvintus@MikeKvintus
So Are Story Card Estimates Worthless?
❏Gaining a common understanding of the work through discussion is the
true value of story card estimation sessions, not the points that are
assigned to a story
❏Assigning points doesn’t take any substantial additional time, so “waste” is
minimal
❏But for our projects, the story card estimates are worthless!
@MikeKvintus@MikeKvintus
What Else Do We Need To Consider
❏ Forecasting into the future
❏ Can use card sizes
❏ Use backlog growth to estimate future work
❏ Bugs/chores
@MikeKvintus@MikeKvintus
Is Stopping All Estimation
the Right Answer?
❏ Doesn’t give you any insight into the future beyond work
you’ve broken down into story smallish cards
❏ #NoEstimates acknowledges this
@MikeKvintus@MikeKvintus
Estimates Give The Illusion Of Predictability
❏We know estimates are flawed
❏How about we look for other ways to satisfy
the predictability needs of teams, customers,
and other stakeholders
@MikeKvintus@MikeKvintus
We need estimates to provide predictability to
our teams, customers, and other stakeholders!
@MikeKvintus@MikeKvintus
❏ Team instability
❏ Big bang releases
❏ Bad coding practices
❏ Too much WIP
❏ Lack of collaboration
What Affects Predictability
@MikeKvintus@MikeKvintus
How About Focusing On Improving
Predictability
❏ Team stability
❏ Frequent releases
❏ Focus on good coding practices (TDD, Pair Programming,
ATDD)
❏ Limit WIP
❏ Improve collaboration
@MikeKvintus@MikeKvintus
❏ Not all organizations are comfortable not having “estimates” despite
the known fallacies
❏ Requires you to sell predictability without estimates
❏ You may have to
❏ Give in and use estimates
❏ Walk away
❏ There are times when estimates are appropriate
@MikeKvintus@MikeKvintus
❏ Look at data about your projects
❏ Experiment
❏ Find out what works for your team
Where To Go Next
@MikeKvintus@MikeKvintus
Project Data Site
I plan to setup a website where people can upload their project data and see
graphs of their projects like the ones I presented
The dataset will be open to all
When site is ready, I’ll tweet the location:
Follow @MikeKvintus or send an email to mikekvintus@gmail.com with
the subject of “Project Data”
Slides are available at http://www.slideshare.net/MikeKvintus

More Related Content

What's hot

What's hot (18)

Productivity land
Productivity landProductivity land
Productivity land
 
Think like a Data Scientist
Think like a Data ScientistThink like a Data Scientist
Think like a Data Scientist
 
Being prepared for the Unexpected
Being prepared for the UnexpectedBeing prepared for the Unexpected
Being prepared for the Unexpected
 
Get better estimates and avoid unrealistic due dates
Get better estimates and avoid unrealistic due datesGet better estimates and avoid unrealistic due dates
Get better estimates and avoid unrealistic due dates
 
W2 d4
W2 d4W2 d4
W2 d4
 
D. Aitcheson. How to make forecasts that are actually accurate.
D. Aitcheson. How to make forecasts that are actually accurate.D. Aitcheson. How to make forecasts that are actually accurate.
D. Aitcheson. How to make forecasts that are actually accurate.
 
Lean Metrics
Lean MetricsLean Metrics
Lean Metrics
 
DevOps Days SLC 16: Stop running with sharp metrics
DevOps Days SLC 16:  Stop running with sharp metricsDevOps Days SLC 16:  Stop running with sharp metrics
DevOps Days SLC 16: Stop running with sharp metrics
 
DSPA Insights Conference 2019
DSPA Insights Conference 2019DSPA Insights Conference 2019
DSPA Insights Conference 2019
 
Visual Work Management in Product Development
Visual Work Management in Product DevelopmentVisual Work Management in Product Development
Visual Work Management in Product Development
 
How to kill an idea
How to kill an ideaHow to kill an idea
How to kill an idea
 
Where to work? 2016 Employment and Labor trends
Where to work? 2016 Employment and Labor trendsWhere to work? 2016 Employment and Labor trends
Where to work? 2016 Employment and Labor trends
 
Multiprojects management
Multiprojects managementMultiprojects management
Multiprojects management
 
Growth, Engagement & Search Metrics: Snake Oil or North Stars
Growth, Engagement & Search Metrics: Snake Oil or North StarsGrowth, Engagement & Search Metrics: Snake Oil or North Stars
Growth, Engagement & Search Metrics: Snake Oil or North Stars
 
Dealing with Estimation, Uncertainty, Risk, and Commitment
Dealing with Estimation, Uncertainty, Risk, and CommitmentDealing with Estimation, Uncertainty, Risk, and Commitment
Dealing with Estimation, Uncertainty, Risk, and Commitment
 
Is data visualisation bullshit?
Is data visualisation bullshit?Is data visualisation bullshit?
Is data visualisation bullshit?
 
Estimates in Project Management
Estimates in Project ManagementEstimates in Project Management
Estimates in Project Management
 
Estimations in Project Management
Estimations in Project ManagementEstimations in Project Management
Estimations in Project Management
 

Similar to Worthless story card estimates

Similar to Worthless story card estimates (20)

Forecasting with Less Effort and More Accuracy (Agile Camp NY 2018)
Forecasting with Less Effort and More Accuracy (Agile Camp NY 2018)Forecasting with Less Effort and More Accuracy (Agile Camp NY 2018)
Forecasting with Less Effort and More Accuracy (Agile Camp NY 2018)
 
Speak To The Business! Agile Metrics That Inform Rather Confuse the Business
Speak To The Business! Agile Metrics That Inform Rather Confuse the BusinessSpeak To The Business! Agile Metrics That Inform Rather Confuse the Business
Speak To The Business! Agile Metrics That Inform Rather Confuse the Business
 
How to make friends and influence developers - @stekenwright at #TechSEO Summat
How to make friends and influence developers - @stekenwright at #TechSEO SummatHow to make friends and influence developers - @stekenwright at #TechSEO Summat
How to make friends and influence developers - @stekenwright at #TechSEO Summat
 
2019 Seattle Code Camp Fantastic outcomes and how to measure them by Cheryl H...
2019 Seattle Code Camp Fantastic outcomes and how to measure them by Cheryl H...2019 Seattle Code Camp Fantastic outcomes and how to measure them by Cheryl H...
2019 Seattle Code Camp Fantastic outcomes and how to measure them by Cheryl H...
 
To Estimate or Not to Estimate, Is that the Question? (2017 Better Software C...
To Estimate or Not to Estimate, Is that the Question? (2017 Better Software C...To Estimate or Not to Estimate, Is that the Question? (2017 Better Software C...
To Estimate or Not to Estimate, Is that the Question? (2017 Better Software C...
 
NoEstimates: Forecasting with Less Effort and More Accuracy by Matthew Philip
NoEstimates: Forecasting with Less Effort and More Accuracy by Matthew PhilipNoEstimates: Forecasting with Less Effort and More Accuracy by Matthew Philip
NoEstimates: Forecasting with Less Effort and More Accuracy by Matthew Philip
 
The #NoEstimates Movement - 2017
The #NoEstimates Movement - 2017The #NoEstimates Movement - 2017
The #NoEstimates Movement - 2017
 
Content for 2015 and Beyond by Matt Beswick, SEM Days 2015
Content for 2015 and Beyond by Matt Beswick, SEM Days 2015Content for 2015 and Beyond by Matt Beswick, SEM Days 2015
Content for 2015 and Beyond by Matt Beswick, SEM Days 2015
 
Big Data Projects, Small Newsroom
Big Data Projects, Small NewsroomBig Data Projects, Small Newsroom
Big Data Projects, Small Newsroom
 
Analytics Tune Up! Insights and methods to achieve a manageable approach to...
Analytics Tune Up! Insights and methods to achieve a manageable approach to...Analytics Tune Up! Insights and methods to achieve a manageable approach to...
Analytics Tune Up! Insights and methods to achieve a manageable approach to...
 
No estimates - 10 new principles for testing
No estimates  - 10 new principles for testingNo estimates  - 10 new principles for testing
No estimates - 10 new principles for testing
 
3 Reasons to Use Data for Successful CRO
3 Reasons to Use Data for Successful CRO3 Reasons to Use Data for Successful CRO
3 Reasons to Use Data for Successful CRO
 
To Estimate or Not to Estimate, is that the Question?
To Estimate or Not to Estimate, is that the Question?To Estimate or Not to Estimate, is that the Question?
To Estimate or Not to Estimate, is that the Question?
 
#NoEstimates
#NoEstimates#NoEstimates
#NoEstimates
 
Milestones, SHUV, Roadmaps - Oh My!
Milestones, SHUV, Roadmaps - Oh My!Milestones, SHUV, Roadmaps - Oh My!
Milestones, SHUV, Roadmaps - Oh My!
 
Milestones, SHUV, Roadmaps - Oh My!
Milestones, SHUV, Roadmaps - Oh My!Milestones, SHUV, Roadmaps - Oh My!
Milestones, SHUV, Roadmaps - Oh My!
 
No Estimates - Hai Dang
No Estimates - Hai DangNo Estimates - Hai Dang
No Estimates - Hai Dang
 
Facts Over Opinions - Wie Daten das Bauchgefühl schlagen
Facts Over Opinions - Wie Daten das Bauchgefühl schlagenFacts Over Opinions - Wie Daten das Bauchgefühl schlagen
Facts Over Opinions - Wie Daten das Bauchgefühl schlagen
 
Demystifying ML/AI
Demystifying ML/AIDemystifying ML/AI
Demystifying ML/AI
 
Data-driven Product Management
Data-driven Product ManagementData-driven Product Management
Data-driven Product Management
 

Recently uploaded

AI Mastery 201: Elevating Your Workflow with Advanced LLM Techniques
AI Mastery 201: Elevating Your Workflow with Advanced LLM TechniquesAI Mastery 201: Elevating Your Workflow with Advanced LLM Techniques
AI Mastery 201: Elevating Your Workflow with Advanced LLM Techniques
VictorSzoltysek
 
CHEAP Call Girls in Pushp Vihar (-DELHI )🔝 9953056974🔝(=)/CALL GIRLS SERVICE
CHEAP Call Girls in Pushp Vihar (-DELHI )🔝 9953056974🔝(=)/CALL GIRLS SERVICECHEAP Call Girls in Pushp Vihar (-DELHI )🔝 9953056974🔝(=)/CALL GIRLS SERVICE
CHEAP Call Girls in Pushp Vihar (-DELHI )🔝 9953056974🔝(=)/CALL GIRLS SERVICE
9953056974 Low Rate Call Girls In Saket, Delhi NCR
 

Recently uploaded (20)

How To Use Server-Side Rendering with Nuxt.js
How To Use Server-Side Rendering with Nuxt.jsHow To Use Server-Side Rendering with Nuxt.js
How To Use Server-Side Rendering with Nuxt.js
 
AI Mastery 201: Elevating Your Workflow with Advanced LLM Techniques
AI Mastery 201: Elevating Your Workflow with Advanced LLM TechniquesAI Mastery 201: Elevating Your Workflow with Advanced LLM Techniques
AI Mastery 201: Elevating Your Workflow with Advanced LLM Techniques
 
HR Software Buyers Guide in 2024 - HRSoftware.com
HR Software Buyers Guide in 2024 - HRSoftware.comHR Software Buyers Guide in 2024 - HRSoftware.com
HR Software Buyers Guide in 2024 - HRSoftware.com
 
VTU technical seminar 8Th Sem on Scikit-learn
VTU technical seminar 8Th Sem on Scikit-learnVTU technical seminar 8Th Sem on Scikit-learn
VTU technical seminar 8Th Sem on Scikit-learn
 
Microsoft AI Transformation Partner Playbook.pdf
Microsoft AI Transformation Partner Playbook.pdfMicrosoft AI Transformation Partner Playbook.pdf
Microsoft AI Transformation Partner Playbook.pdf
 
10 Trends Likely to Shape Enterprise Technology in 2024
10 Trends Likely to Shape Enterprise Technology in 202410 Trends Likely to Shape Enterprise Technology in 2024
10 Trends Likely to Shape Enterprise Technology in 2024
 
CHEAP Call Girls in Pushp Vihar (-DELHI )🔝 9953056974🔝(=)/CALL GIRLS SERVICE
CHEAP Call Girls in Pushp Vihar (-DELHI )🔝 9953056974🔝(=)/CALL GIRLS SERVICECHEAP Call Girls in Pushp Vihar (-DELHI )🔝 9953056974🔝(=)/CALL GIRLS SERVICE
CHEAP Call Girls in Pushp Vihar (-DELHI )🔝 9953056974🔝(=)/CALL GIRLS SERVICE
 
A Secure and Reliable Document Management System is Essential.docx
A Secure and Reliable Document Management System is Essential.docxA Secure and Reliable Document Management System is Essential.docx
A Secure and Reliable Document Management System is Essential.docx
 
call girls in Vaishali (Ghaziabad) 🔝 >༒8448380779 🔝 genuine Escort Service 🔝✔️✔️
call girls in Vaishali (Ghaziabad) 🔝 >༒8448380779 🔝 genuine Escort Service 🔝✔️✔️call girls in Vaishali (Ghaziabad) 🔝 >༒8448380779 🔝 genuine Escort Service 🔝✔️✔️
call girls in Vaishali (Ghaziabad) 🔝 >༒8448380779 🔝 genuine Escort Service 🔝✔️✔️
 
The Real-World Challenges of Medical Device Cybersecurity- Mitigating Vulnera...
The Real-World Challenges of Medical Device Cybersecurity- Mitigating Vulnera...The Real-World Challenges of Medical Device Cybersecurity- Mitigating Vulnera...
The Real-World Challenges of Medical Device Cybersecurity- Mitigating Vulnera...
 
call girls in Vaishali (Ghaziabad) 🔝 >༒8448380779 🔝 genuine Escort Service 🔝✔️✔️
call girls in Vaishali (Ghaziabad) 🔝 >༒8448380779 🔝 genuine Escort Service 🔝✔️✔️call girls in Vaishali (Ghaziabad) 🔝 >༒8448380779 🔝 genuine Escort Service 🔝✔️✔️
call girls in Vaishali (Ghaziabad) 🔝 >༒8448380779 🔝 genuine Escort Service 🔝✔️✔️
 
Tech Tuesday-Harness the Power of Effective Resource Planning with OnePlan’s ...
Tech Tuesday-Harness the Power of Effective Resource Planning with OnePlan’s ...Tech Tuesday-Harness the Power of Effective Resource Planning with OnePlan’s ...
Tech Tuesday-Harness the Power of Effective Resource Planning with OnePlan’s ...
 
Unveiling the Tech Salsa of LAMs with Janus in Real-Time Applications
Unveiling the Tech Salsa of LAMs with Janus in Real-Time ApplicationsUnveiling the Tech Salsa of LAMs with Janus in Real-Time Applications
Unveiling the Tech Salsa of LAMs with Janus in Real-Time Applications
 
The Ultimate Test Automation Guide_ Best Practices and Tips.pdf
The Ultimate Test Automation Guide_ Best Practices and Tips.pdfThe Ultimate Test Automation Guide_ Best Practices and Tips.pdf
The Ultimate Test Automation Guide_ Best Practices and Tips.pdf
 
Optimizing AI for immediate response in Smart CCTV
Optimizing AI for immediate response in Smart CCTVOptimizing AI for immediate response in Smart CCTV
Optimizing AI for immediate response in Smart CCTV
 
Software Quality Assurance Interview Questions
Software Quality Assurance Interview QuestionsSoftware Quality Assurance Interview Questions
Software Quality Assurance Interview Questions
 
Vip Call Girls Noida ➡️ Delhi ➡️ 9999965857 No Advance 24HRS Live
Vip Call Girls Noida ➡️ Delhi ➡️ 9999965857 No Advance 24HRS LiveVip Call Girls Noida ➡️ Delhi ➡️ 9999965857 No Advance 24HRS Live
Vip Call Girls Noida ➡️ Delhi ➡️ 9999965857 No Advance 24HRS Live
 
Shapes for Sharing between Graph Data Spaces - and Epistemic Querying of RDF-...
Shapes for Sharing between Graph Data Spaces - and Epistemic Querying of RDF-...Shapes for Sharing between Graph Data Spaces - and Epistemic Querying of RDF-...
Shapes for Sharing between Graph Data Spaces - and Epistemic Querying of RDF-...
 
Diamond Application Development Crafting Solutions with Precision
Diamond Application Development Crafting Solutions with PrecisionDiamond Application Development Crafting Solutions with Precision
Diamond Application Development Crafting Solutions with Precision
 
How To Troubleshoot Collaboration Apps for the Modern Connected Worker
How To Troubleshoot Collaboration Apps for the Modern Connected WorkerHow To Troubleshoot Collaboration Apps for the Modern Connected Worker
How To Troubleshoot Collaboration Apps for the Modern Connected Worker
 

Worthless story card estimates

Editor's Notes

  1. http://www.leandog.com/holiday/
  2. http://www.leandog.com/holiday/
  3. http://www.leandog.com/holiday/
  4. That doesn’t give you any reason to be here. Really?? I know a lot of people that could claim a lot of experience, etc but wouldn’t have anything interesting to say.
  5. There were lots of examples of very experienced teams breaking cards into very consistent sizes and substituting cards for points, but could this really work for other teams. I thought about this a lot, and when I started working at LeanDog and realized they had data for many projects, I started to explore comparing counting cards to using story points.
  6. Makes sense, right? We must estimate our work to know how long it will take build it. Seems reasonable, let’s go with that for now.
  7. Started purely to eliminate estimates but the discussion has transitioned to a more pragmatic approach to balancing the needs of stakeholders and project management. I encourage people to read about noestimates and also read the comments.
  8. Does this sound familiar? How does it work? Many projects in the LeanDog Studio execute this way: break stories down into small cards, discuss each card as a team, cast estimate sizes, discuss and then assign a point size to the card
  9. What could go wrong?
  10. Cone of uncertainty. (Note this image shows a mostly waterfall approach but the concept still applies to agile) Estimation accuracy improves as you get closer to developing code.
  11. We underestimate the work Halo effect - Something went well or stood out so you assume everything else will be just like it Being over confident leads us to think we know everything even when we don’t and to believe we can do things that we can’t
  12. You discover things you didn’t know or think about The productivity of people is not always constant Everyone writes perfect bug-free code
  13. Surely there are
  14. Anyone hear these?
  15. Anyone hear these?
  16. Most bridge designs are well known as are the variables that affect the time to build each bridge. You are not building software that has already been built; if you are then you should .
  17. Work expands - developers abusing estimates. Sound familiar? How many people have experienced these?
  18. Work expands - developers abusing estimates. Sound familiar? How many people have experienced these?
  19. You must be sandbagging! We can move the whole project up!
  20. Freak out time - Is the whole project blown? Your estimates suck! Can we trust the estimates?
  21. In LeanDog Studio we use Pivotal Tracker and Google Docs. Pairs of developers change from project to project.
  22. In LeanDog Studio we use Pivotal Tracker and Google Docs. Pairs of developers change from project to project.
  23. Notice the slope of the all cards is more similar to the points slope while feature cards is a different slope
  24. All 3 have very similar shapes and slopes, just different magnitudes
  25. Notice the slope of the feature cards is more similar to the points slope while all cards is a different slope
  26. Notice the slope of the feature cards is more similar to the points slope while all cards is a slightly different slope
  27. Notice the slope of the all cards is more similar to the points slope while feature cards is a different slope
  28. Notice the slope of the feature cards is more similar to the points slope while all cards is a different slope
  29. Notice the slope of the feature cards is more similar to the points slope while all cards is a different slope
  30. Notice the slope of the all cards is more similar to the points slope while feature cards is a different slope
  31. Notice the slope of the feature cards is more similar to the points slope while all cards is a different slope
  32. 3 graphs are similar
  33. All 3 graphs have similar shapes
  34. All 3 shapes are similar
  35. Notice the slope of the feature cards is more similar to the points slope while all cards is slightly different
  36. All3 have similar shapes
  37. Notice the slope of the all cards is more similar to the points slope while feature cards is a slightly different slope
  38. Notice the slope of the feature cards is more similar to the points slope while all cards is a different slope
  39. Notice the slope of the all cards is more similar to the points slope while feature cards only is a different slope
  40. These are my observations
  41. Since the time it takes to assign points is minimal and the discussion is valuable, I don’t view estimation as “waste” but as misleading
  42. Assign sizes to epic cards that are in the future, replace these cards with Using backlog growth rate to forecast future backlog growth is rather interesting. Works best if story card breakdown is done consistently and at regular intervals. Bugs and chores are work that takes time away from features. Opinions vary on counting vs not counting them.
  43. Since estimates are flawed, the “predictability” of anything based on them is just an illusion. A chain is only as strong as the weakest link
  44. Do we really NEED estimates or are there other ways to provide predictability?