SlideShare une entreprise Scribd logo
1  sur  19
Télécharger pour lire hors ligne
Little bits of cardboard	,[object Object],A study of a project using Kanban processes,[object Object]
New infrastructure project,[object Object],Unknown and rapidly emerging requirements. ,[object Object],Architecture evolved as the project progressed.,[object Object],New clients for the product meant rapidly emerging requirements,[object Object],The application had to be deployed ASAP to meet contractual obligations,[object Object],Details,[object Object]
The project was at a standstill, cards were not moving across the board. ,[object Object],Large numbers of cards clogged the board and the team felt paralysed.,[object Object],It was difficult to prioritise, as the backlog was so big and undefined,[object Object],4 months of development work done with no production deployment of any code.,[object Object],Problems,[object Object]
The board before,[object Object],Story card,[object Object],Ready,[object Object], for test,[object Object],Test failed,[object Object],In test,[object Object],Backlog,[object Object],Signed off,[object Object],Blocked,[object Object],In Dev,[object Object],Ready for Dev,[object Object],Story card,[object Object],Story card,[object Object],Story card,[object Object],Story card,[object Object],Story card,[object Object],Story card,[object Object],Story card,[object Object],Story card,[object Object],Story card,[object Object],Story card,[object Object],Story card,[object Object],Story card,[object Object],Story card,[object Object],Story card,[object Object],Story card,[object Object],Story card,[object Object],Story card,[object Object],Story card,[object Object],Story card,[object Object],Story card,[object Object],Story card,[object Object],Story card,[object Object],Story card,[object Object],Story card,[object Object],Story card,[object Object],Story card,[object Object],Story card,[object Object],Story card,[object Object],Story card,[object Object],Story card,[object Object],Jim,[object Object],Jim,[object Object],Mel,[object Object],Mel,[object Object],Tom,[object Object],A story board can provide a lot of information about a team and how it is performing.,[object Object],The team board had a lot of signals about were problems were occuring,[object Object]
Problems,[object Object],Story card,[object Object],Ready,[object Object], for test,[object Object],Test failed,[object Object],In test,[object Object],Backlog,[object Object],Blocked,[object Object],In Dev,[object Object],Ready for Dev,[object Object],Large backlog column:,[object Object],The backlog column contained upcoming stories for the entire project,[object Object],Competing priorities meant the development effort wasn’t focused,[object Object],Stand ups tended to focus on backlog items that hadn’t even made the “Ready for Dev” – (current sprint) column.,[object Object],Time was spent estimating and planning on stories that never ended up getting prioritised,[object Object],Story card,[object Object],Story card,[object Object],Story card,[object Object],Story card,[object Object],Story card,[object Object],Story card,[object Object],Story card,[object Object],Story card,[object Object],Story card,[object Object],Story card,[object Object],Story card,[object Object],Story card,[object Object],Story card,[object Object],Story card,[object Object],Story card,[object Object],Story card,[object Object],Story card,[object Object],Story card,[object Object],Story card,[object Object],Story card,[object Object],Story card,[object Object],Jim,[object Object],Jim,[object Object],Mel,[object Object],Mel,[object Object],Tom,[object Object]
In Dev,[object Object],Story card,[object Object],Story card,[object Object],Story card,[object Object],Story card,[object Object],Jim,[object Object],Jim,[object Object],Mel,[object Object],Mel,[object Object],Tom,[object Object],Problems,[object Object],Team members were deployed across multiple cards, they found it frustrating and difficult to focus on getting things done.,[object Object]
Problems,[object Object],Story card,[object Object],Blocked,[object Object],[object Object]
The reasons for this were varied, but there was a lack of ownership or urgencyStory card,[object Object],Story card,[object Object]
After a few different approaches were discussed, we trialled a Lean/Kanban approach/process,[object Object], This helped us focus on our constraints and get back to getting things done.,[object Object],What we did next,[object Object]
What is Kanban,[object Object],[object Object],Story card,[object Object],Limit Work In Progress,[object Object],Only start a new task/item when last item was complete,[object Object],Balance demand against throughput ,[object Object],The cards become signals  (Kanban) to indicate when something needs to happen,[object Object],Creates a pull system where an empty slot triggers a demand for a card further up the supply chain.,[object Object]
We started by limiting WIP (Work in progress) on the swim lanes, including the “In analysis” and “ready for Dev” lanes,[object Object],How we got there,[object Object]
Limiting WIP,[object Object],Story card,[object Object],Ready,[object Object], for test,[object Object],2,[object Object],Ready for ,[object Object],Sign off,[object Object],3,[object Object],In Analysis,[object Object],2,[object Object],Ready for Dev,[object Object],2,[object Object],In test,[object Object],2,[object Object],Signed off,[object Object],Parking lot,[object Object],In Dev,[object Object],2,[object Object],Something to talk about tomorrow,[object Object],Story card,[object Object],Story card,[object Object],Story card,[object Object],Story card,[object Object],Story card,[object Object],Story card,[object Object],Story card,[object Object],Story card,[object Object],Story card,[object Object],Story card,[object Object],Ben,[object Object],Tom,[object Object],Mel,[object Object],Jim,[object Object],Cards on the lanes limited to available pairs in the sprint.,[object Object],New cards are demand pulled into the lanes to reach capacity as cards are completed and moved across.,[object Object],Developers only allowed to be on ONE card,[object Object],This ensured the cards coming through were really the “highest” priority,[object Object],Helped minimise discussion and pre-work on low priority cards ,[object Object]
Worked out what the bare minimum was to get our “first” production release out, even if it meant the application was feature poor. ,[object Object],This was what is termed a “MMF” or “Minimum marketable feature”,[object Object],Allowed us to target incremental delivery rather than “big bang”,[object Object],if nothing else, this helped prove the “Path to Production” getting early feedback on performance across all your environments in invaluable.,[object Object],“Please, just let us release something!”,[object Object]
Release token/card,[object Object],Story card,[object Object],Ready,[object Object], for test,[object Object],2,[object Object],Ready for ,[object Object],Sign off,[object Object],3,[object Object],In Analysis,[object Object],2,[object Object],Ready for Dev,[object Object],2,[object Object],In test,[object Object],2,[object Object],Signed off,[object Object],Parking lot,[object Object],In Dev,[object Object],2,[object Object],Something to talk about tomorrow,[object Object],Story card,[object Object],Story card,[object Object],Story card,[object Object],Story card,[object Object],Story card,[object Object],Story card,[object Object],Story card,[object Object],Story card,[object Object],Story card,[object Object],Ben,[object Object],Tom,[object Object],Mel,[object Object],Jim,[object Object],Release Card,[object Object],Tom,[object Object],JT,[object Object],We introduced a “Release” token which followed the last of the cards in the MMF across the board. ,[object Object],This card behaved just as any other card did, occupying slots and requiring owners,[object Object],Any card that followed the release card was not checked into the main trunk until after the release card was “signed off” – which meant deployed ,[object Object],We released when we had enough, not at the “end” of a sprint cycle.,[object Object]
Reducing clutter/confusion,[object Object],Story card,[object Object],Story card,[object Object],Story card,[object Object],Story card,[object Object],Story card,[object Object],Story card,[object Object],Story card,[object Object],Story card,[object Object],Mel,[object Object],Jim,[object Object],Ready,[object Object], for test,[object Object],2,[object Object],Ready for ,[object Object],Sign off,[object Object],3,[object Object],In Analysis,[object Object],2,[object Object],Ready for Dev,[object Object],2,[object Object],In test,[object Object],2,[object Object],Signed off,[object Object],Parking lot,[object Object],In Dev,[object Object],2,[object Object],Something to talk about tomorrow,[object Object],Reduced the amount of clutter that was on the board by removing the backlog column,[object Object],Backlog items were removed and placed out of immediate sight ,[object Object],Removed the blocked column, changed how “blocked cards were dealt with” ,[object Object],Blocked cards had to find an owner, and therefore a swimlane, or were deprioritised,[object Object]
Adding buffers,[object Object],Story card,[object Object],Story card,[object Object],Story card,[object Object],Story card,[object Object],Story card,[object Object],Story card,[object Object],Story card,[object Object],Story card,[object Object],Mel,[object Object],Jim,[object Object],Ready,[object Object], for test,[object Object],2,[object Object],Ready for ,[object Object],Sign off,[object Object],3,[object Object],In Analysis,[object Object],2,[object Object],Ready for Dev,[object Object],2,[object Object],In test,[object Object],2,[object Object],Signed off,[object Object],Parking lot,[object Object],In Dev,[object Object],2,[object Object],Something to talk about tomorrow,[object Object],We got excited about removing lanes so;,[object Object],We removed the test failed lane and created a buffer zone above “In Dev”. These cards were considered the highest priority in that lane.,[object Object],Buffers added to other lanes as well, these helped create strong signals of constraints in the system that needed to be acted upon.,[object Object]
Sprint cycle and release cycle were “uncoupled”,[object Object],Planning was done, as required, not by timetables ,[object Object],Retained sprint cadence for “retros” and “demos”,[object Object],Team aggressively split cards to look for smallest item of “business value”,[object Object],Having limited “fixed backlog” meant we could react very quickly to change,[object Object],Rolled technical stories into stories that deliver business value forced us to change course slowly and justify changes, also reduced Technical debt,[object Object],What changed,[object Object]
Delivering a constant stream of small but valuable stuff into production every week is VERY motivating.,[object Object],Splitting stories can reveal just how little business value certain aspects of stories contain,[object Object],We almost never get through everything that was “planned”,[object Object],We almost always ended up doing stories that weren’t “planned”,[object Object],Just-in-time stories can enable the business to leave decision of what’s important to the last possible moment.,[object Object],Trying to deliver everything to everyone can lead to delivering nothing at all to anyone ,[object Object],What did we learn?,[object Object]
Simplifies workflow,[object Object],Reduces confusion,[object Object],Encourages small incremental releases,[object Object],Accepts and encourages change,[object Object],Teams with highly flexible backlogs (BAU, support) are ideal candidates for Kanban,[object Object],Allows teams to focus on their constraints and support them,[object Object],Is motivating to developers,[object Object],Forces prioritisation by limiting WIP ,[object Object],Works well for new product development teams,[object Object],Take home message,[object Object]

Contenu connexe

Similaire à Little bits of cardboard - a Kanban case study

How we integrate Machine Learning Algorithms into our IT Platform at Outfittery
How we integrate Machine Learning Algorithms into our IT Platform at OutfitteryHow we integrate Machine Learning Algorithms into our IT Platform at Outfittery
How we integrate Machine Learning Algorithms into our IT Platform at OutfitteryOUTFITTERY
 
Kanban At Roots 2011
Kanban At Roots 2011Kanban At Roots 2011
Kanban At Roots 2011ketilj
 
Matt carroll - "Security patching system packages is fun" said no-one ever
Matt carroll - "Security patching system packages is fun" said no-one everMatt carroll - "Security patching system packages is fun" said no-one ever
Matt carroll - "Security patching system packages is fun" said no-one everDevSecCon
 
How to write your database: the story about Event Store
How to write your database: the story about Event StoreHow to write your database: the story about Event Store
How to write your database: the story about Event StoreVictor Haydin
 
IntelNTU PDF
IntelNTU PDFIntelNTU PDF
IntelNTU PDFJosh Shih
 
Agile Requirements Stories and Backlogs
Agile Requirements Stories and BacklogsAgile Requirements Stories and Backlogs
Agile Requirements Stories and BacklogsPat Scherer
 
Vincent Kok - Microservices 5 things I wish I'd known - Codemotion Milan 2017
Vincent Kok - Microservices 5 things I wish I'd known - Codemotion Milan 2017Vincent Kok - Microservices 5 things I wish I'd known - Codemotion Milan 2017
Vincent Kok - Microservices 5 things I wish I'd known - Codemotion Milan 2017Codemotion
 
Microservices: 5 Things I Wish I'd Known - Code Motion Milan 2017
Microservices: 5 Things I Wish I'd Known - Code Motion Milan 2017Microservices: 5 Things I Wish I'd Known - Code Motion Milan 2017
Microservices: 5 Things I Wish I'd Known - Code Motion Milan 2017Vincent Kok
 
No estimates - a controversial way to improve estimation with results-handouts
No estimates - a controversial way to improve estimation with results-handoutsNo estimates - a controversial way to improve estimation with results-handouts
No estimates - a controversial way to improve estimation with results-handoutsVasco Duarte
 
Making the Most of In-Memory: More than Speed
Making the Most of In-Memory: More than SpeedMaking the Most of In-Memory: More than Speed
Making the Most of In-Memory: More than SpeedInside Analysis
 
Agile User Stories
Agile User StoriesAgile User Stories
Agile User Storieskahgeh75
 
DevDay 2013 - Building Startups and Minimum Viable Products
DevDay 2013 - Building Startups and Minimum Viable ProductsDevDay 2013 - Building Startups and Minimum Viable Products
DevDay 2013 - Building Startups and Minimum Viable ProductsBen Hall
 
Introduction to Agile Project Management and Scrum
Introduction to Agile Project Management and ScrumIntroduction to Agile Project Management and Scrum
Introduction to Agile Project Management and ScrumVoximate
 
Introduction to Agile Project Management and Scrum
Introduction to Agile Project Management and ScrumIntroduction to Agile Project Management and Scrum
Introduction to Agile Project Management and ScrumEric Krock
 
PHP World DC 2015 - What Can Go Wrong with Agile Development and How to Fix It
PHP World DC 2015 - What Can Go Wrong with Agile Development and How to Fix ItPHP World DC 2015 - What Can Go Wrong with Agile Development and How to Fix It
PHP World DC 2015 - What Can Go Wrong with Agile Development and How to Fix ItMatt Toigo
 
Lean Kanban India 2017 | Damn… we missed the date again! | Sudipta Lahiri
Lean Kanban India 2017 | Damn… we missed the date again! | Sudipta LahiriLean Kanban India 2017 | Damn… we missed the date again! | Sudipta Lahiri
Lean Kanban India 2017 | Damn… we missed the date again! | Sudipta LahiriLeanKanbanIndia
 
LKIN17: Damn we missed the date again - Sudipta
LKIN17: Damn we missed the date again - Sudipta LKIN17: Damn we missed the date again - Sudipta
LKIN17: Damn we missed the date again - Sudipta Innovation Roots
 
Damn... we missed the date again
Damn... we missed the date againDamn... we missed the date again
Damn... we missed the date againSudipta Lahiri
 

Similaire à Little bits of cardboard - a Kanban case study (20)

How we integrate Machine Learning Algorithms into our IT Platform at Outfittery
How we integrate Machine Learning Algorithms into our IT Platform at OutfitteryHow we integrate Machine Learning Algorithms into our IT Platform at Outfittery
How we integrate Machine Learning Algorithms into our IT Platform at Outfittery
 
Kanban At Roots 2011
Kanban At Roots 2011Kanban At Roots 2011
Kanban At Roots 2011
 
Matt carroll - "Security patching system packages is fun" said no-one ever
Matt carroll - "Security patching system packages is fun" said no-one everMatt carroll - "Security patching system packages is fun" said no-one ever
Matt carroll - "Security patching system packages is fun" said no-one ever
 
How to write your database: the story about Event Store
How to write your database: the story about Event StoreHow to write your database: the story about Event Store
How to write your database: the story about Event Store
 
IntelNTU PDF
IntelNTU PDFIntelNTU PDF
IntelNTU PDF
 
Maximizing Big Data ROI via Best of Breed Technology Patterns and Practices -...
Maximizing Big Data ROI via Best of Breed Technology Patterns and Practices -...Maximizing Big Data ROI via Best of Breed Technology Patterns and Practices -...
Maximizing Big Data ROI via Best of Breed Technology Patterns and Practices -...
 
Agile Requirements Stories and Backlogs
Agile Requirements Stories and BacklogsAgile Requirements Stories and Backlogs
Agile Requirements Stories and Backlogs
 
Vincent Kok - Microservices 5 things I wish I'd known - Codemotion Milan 2017
Vincent Kok - Microservices 5 things I wish I'd known - Codemotion Milan 2017Vincent Kok - Microservices 5 things I wish I'd known - Codemotion Milan 2017
Vincent Kok - Microservices 5 things I wish I'd known - Codemotion Milan 2017
 
Microservices: 5 Things I Wish I'd Known - Code Motion Milan 2017
Microservices: 5 Things I Wish I'd Known - Code Motion Milan 2017Microservices: 5 Things I Wish I'd Known - Code Motion Milan 2017
Microservices: 5 Things I Wish I'd Known - Code Motion Milan 2017
 
No estimates - a controversial way to improve estimation with results-handouts
No estimates - a controversial way to improve estimation with results-handoutsNo estimates - a controversial way to improve estimation with results-handouts
No estimates - a controversial way to improve estimation with results-handouts
 
Making the Most of In-Memory: More than Speed
Making the Most of In-Memory: More than SpeedMaking the Most of In-Memory: More than Speed
Making the Most of In-Memory: More than Speed
 
Agile User Stories
Agile User StoriesAgile User Stories
Agile User Stories
 
DevDay 2013 - Building Startups and Minimum Viable Products
DevDay 2013 - Building Startups and Minimum Viable ProductsDevDay 2013 - Building Startups and Minimum Viable Products
DevDay 2013 - Building Startups and Minimum Viable Products
 
QtEmbedded
QtEmbeddedQtEmbedded
QtEmbedded
 
Introduction to Agile Project Management and Scrum
Introduction to Agile Project Management and ScrumIntroduction to Agile Project Management and Scrum
Introduction to Agile Project Management and Scrum
 
Introduction to Agile Project Management and Scrum
Introduction to Agile Project Management and ScrumIntroduction to Agile Project Management and Scrum
Introduction to Agile Project Management and Scrum
 
PHP World DC 2015 - What Can Go Wrong with Agile Development and How to Fix It
PHP World DC 2015 - What Can Go Wrong with Agile Development and How to Fix ItPHP World DC 2015 - What Can Go Wrong with Agile Development and How to Fix It
PHP World DC 2015 - What Can Go Wrong with Agile Development and How to Fix It
 
Lean Kanban India 2017 | Damn… we missed the date again! | Sudipta Lahiri
Lean Kanban India 2017 | Damn… we missed the date again! | Sudipta LahiriLean Kanban India 2017 | Damn… we missed the date again! | Sudipta Lahiri
Lean Kanban India 2017 | Damn… we missed the date again! | Sudipta Lahiri
 
LKIN17: Damn we missed the date again - Sudipta
LKIN17: Damn we missed the date again - Sudipta LKIN17: Damn we missed the date again - Sudipta
LKIN17: Damn we missed the date again - Sudipta
 
Damn... we missed the date again
Damn... we missed the date againDamn... we missed the date again
Damn... we missed the date again
 

Dernier

Connector Corner: Extending LLM automation use cases with UiPath GenAI connec...
Connector Corner: Extending LLM automation use cases with UiPath GenAI connec...Connector Corner: Extending LLM automation use cases with UiPath GenAI connec...
Connector Corner: Extending LLM automation use cases with UiPath GenAI connec...DianaGray10
 
Secure your environment with UiPath and CyberArk technologies - Session 1
Secure your environment with UiPath and CyberArk technologies - Session 1Secure your environment with UiPath and CyberArk technologies - Session 1
Secure your environment with UiPath and CyberArk technologies - Session 1DianaGray10
 
Things you didn't know you can use in your Salesforce
Things you didn't know you can use in your SalesforceThings you didn't know you can use in your Salesforce
Things you didn't know you can use in your SalesforceMartin Humpolec
 
Videogame localization & technology_ how to enhance the power of translation.pdf
Videogame localization & technology_ how to enhance the power of translation.pdfVideogame localization & technology_ how to enhance the power of translation.pdf
Videogame localization & technology_ how to enhance the power of translation.pdfinfogdgmi
 
20200723_insight_release_plan_v6.pdf20200723_insight_release_plan_v6.pdf
20200723_insight_release_plan_v6.pdf20200723_insight_release_plan_v6.pdf20200723_insight_release_plan_v6.pdf20200723_insight_release_plan_v6.pdf
20200723_insight_release_plan_v6.pdf20200723_insight_release_plan_v6.pdfJamie (Taka) Wang
 
COMPUTER 10: Lesson 7 - File Storage and Online Collaboration
COMPUTER 10: Lesson 7 - File Storage and Online CollaborationCOMPUTER 10: Lesson 7 - File Storage and Online Collaboration
COMPUTER 10: Lesson 7 - File Storage and Online Collaborationbruanjhuli
 
9 Steps For Building Winning Founding Team
9 Steps For Building Winning Founding Team9 Steps For Building Winning Founding Team
9 Steps For Building Winning Founding TeamAdam Moalla
 
Apres-Cyber - The Data Dilemma: Bridging Offensive Operations and Machine Lea...
Apres-Cyber - The Data Dilemma: Bridging Offensive Operations and Machine Lea...Apres-Cyber - The Data Dilemma: Bridging Offensive Operations and Machine Lea...
Apres-Cyber - The Data Dilemma: Bridging Offensive Operations and Machine Lea...Will Schroeder
 
Basic Building Blocks of Internet of Things.
Basic Building Blocks of Internet of Things.Basic Building Blocks of Internet of Things.
Basic Building Blocks of Internet of Things.YounusS2
 
UiPath Solutions Management Preview - Northern CA Chapter - March 22.pdf
UiPath Solutions Management Preview - Northern CA Chapter - March 22.pdfUiPath Solutions Management Preview - Northern CA Chapter - March 22.pdf
UiPath Solutions Management Preview - Northern CA Chapter - March 22.pdfDianaGray10
 
Machine Learning Model Validation (Aijun Zhang 2024).pdf
Machine Learning Model Validation (Aijun Zhang 2024).pdfMachine Learning Model Validation (Aijun Zhang 2024).pdf
Machine Learning Model Validation (Aijun Zhang 2024).pdfAijun Zhang
 
PicPay - GenAI Finance Assistant - ChatGPT for Customer Service
PicPay - GenAI Finance Assistant - ChatGPT for Customer ServicePicPay - GenAI Finance Assistant - ChatGPT for Customer Service
PicPay - GenAI Finance Assistant - ChatGPT for Customer ServiceRenan Moreira de Oliveira
 
Meet the new FSP 3000 M-Flex800™
Meet the new FSP 3000 M-Flex800™Meet the new FSP 3000 M-Flex800™
Meet the new FSP 3000 M-Flex800™Adtran
 
How to Effectively Monitor SD-WAN and SASE Environments with ThousandEyes
How to Effectively Monitor SD-WAN and SASE Environments with ThousandEyesHow to Effectively Monitor SD-WAN and SASE Environments with ThousandEyes
How to Effectively Monitor SD-WAN and SASE Environments with ThousandEyesThousandEyes
 
Using IESVE for Loads, Sizing and Heat Pump Modeling to Achieve Decarbonization
Using IESVE for Loads, Sizing and Heat Pump Modeling to Achieve DecarbonizationUsing IESVE for Loads, Sizing and Heat Pump Modeling to Achieve Decarbonization
Using IESVE for Loads, Sizing and Heat Pump Modeling to Achieve DecarbonizationIES VE
 
Artificial Intelligence & SEO Trends for 2024
Artificial Intelligence & SEO Trends for 2024Artificial Intelligence & SEO Trends for 2024
Artificial Intelligence & SEO Trends for 2024D Cloud Solutions
 
The Data Metaverse: Unpacking the Roles, Use Cases, and Tech Trends in Data a...
The Data Metaverse: Unpacking the Roles, Use Cases, and Tech Trends in Data a...The Data Metaverse: Unpacking the Roles, Use Cases, and Tech Trends in Data a...
The Data Metaverse: Unpacking the Roles, Use Cases, and Tech Trends in Data a...Aggregage
 
UiPath Studio Web workshop series - Day 7
UiPath Studio Web workshop series - Day 7UiPath Studio Web workshop series - Day 7
UiPath Studio Web workshop series - Day 7DianaGray10
 
Introduction to Matsuo Laboratory (ENG).pptx
Introduction to Matsuo Laboratory (ENG).pptxIntroduction to Matsuo Laboratory (ENG).pptx
Introduction to Matsuo Laboratory (ENG).pptxMatsuo Lab
 
Cloud Revolution: Exploring the New Wave of Serverless Spatial Data
Cloud Revolution: Exploring the New Wave of Serverless Spatial DataCloud Revolution: Exploring the New Wave of Serverless Spatial Data
Cloud Revolution: Exploring the New Wave of Serverless Spatial DataSafe Software
 

Dernier (20)

Connector Corner: Extending LLM automation use cases with UiPath GenAI connec...
Connector Corner: Extending LLM automation use cases with UiPath GenAI connec...Connector Corner: Extending LLM automation use cases with UiPath GenAI connec...
Connector Corner: Extending LLM automation use cases with UiPath GenAI connec...
 
Secure your environment with UiPath and CyberArk technologies - Session 1
Secure your environment with UiPath and CyberArk technologies - Session 1Secure your environment with UiPath and CyberArk technologies - Session 1
Secure your environment with UiPath and CyberArk technologies - Session 1
 
Things you didn't know you can use in your Salesforce
Things you didn't know you can use in your SalesforceThings you didn't know you can use in your Salesforce
Things you didn't know you can use in your Salesforce
 
Videogame localization & technology_ how to enhance the power of translation.pdf
Videogame localization & technology_ how to enhance the power of translation.pdfVideogame localization & technology_ how to enhance the power of translation.pdf
Videogame localization & technology_ how to enhance the power of translation.pdf
 
20200723_insight_release_plan_v6.pdf20200723_insight_release_plan_v6.pdf
20200723_insight_release_plan_v6.pdf20200723_insight_release_plan_v6.pdf20200723_insight_release_plan_v6.pdf20200723_insight_release_plan_v6.pdf
20200723_insight_release_plan_v6.pdf20200723_insight_release_plan_v6.pdf
 
COMPUTER 10: Lesson 7 - File Storage and Online Collaboration
COMPUTER 10: Lesson 7 - File Storage and Online CollaborationCOMPUTER 10: Lesson 7 - File Storage and Online Collaboration
COMPUTER 10: Lesson 7 - File Storage and Online Collaboration
 
9 Steps For Building Winning Founding Team
9 Steps For Building Winning Founding Team9 Steps For Building Winning Founding Team
9 Steps For Building Winning Founding Team
 
Apres-Cyber - The Data Dilemma: Bridging Offensive Operations and Machine Lea...
Apres-Cyber - The Data Dilemma: Bridging Offensive Operations and Machine Lea...Apres-Cyber - The Data Dilemma: Bridging Offensive Operations and Machine Lea...
Apres-Cyber - The Data Dilemma: Bridging Offensive Operations and Machine Lea...
 
Basic Building Blocks of Internet of Things.
Basic Building Blocks of Internet of Things.Basic Building Blocks of Internet of Things.
Basic Building Blocks of Internet of Things.
 
UiPath Solutions Management Preview - Northern CA Chapter - March 22.pdf
UiPath Solutions Management Preview - Northern CA Chapter - March 22.pdfUiPath Solutions Management Preview - Northern CA Chapter - March 22.pdf
UiPath Solutions Management Preview - Northern CA Chapter - March 22.pdf
 
Machine Learning Model Validation (Aijun Zhang 2024).pdf
Machine Learning Model Validation (Aijun Zhang 2024).pdfMachine Learning Model Validation (Aijun Zhang 2024).pdf
Machine Learning Model Validation (Aijun Zhang 2024).pdf
 
PicPay - GenAI Finance Assistant - ChatGPT for Customer Service
PicPay - GenAI Finance Assistant - ChatGPT for Customer ServicePicPay - GenAI Finance Assistant - ChatGPT for Customer Service
PicPay - GenAI Finance Assistant - ChatGPT for Customer Service
 
Meet the new FSP 3000 M-Flex800™
Meet the new FSP 3000 M-Flex800™Meet the new FSP 3000 M-Flex800™
Meet the new FSP 3000 M-Flex800™
 
How to Effectively Monitor SD-WAN and SASE Environments with ThousandEyes
How to Effectively Monitor SD-WAN and SASE Environments with ThousandEyesHow to Effectively Monitor SD-WAN and SASE Environments with ThousandEyes
How to Effectively Monitor SD-WAN and SASE Environments with ThousandEyes
 
Using IESVE for Loads, Sizing and Heat Pump Modeling to Achieve Decarbonization
Using IESVE for Loads, Sizing and Heat Pump Modeling to Achieve DecarbonizationUsing IESVE for Loads, Sizing and Heat Pump Modeling to Achieve Decarbonization
Using IESVE for Loads, Sizing and Heat Pump Modeling to Achieve Decarbonization
 
Artificial Intelligence & SEO Trends for 2024
Artificial Intelligence & SEO Trends for 2024Artificial Intelligence & SEO Trends for 2024
Artificial Intelligence & SEO Trends for 2024
 
The Data Metaverse: Unpacking the Roles, Use Cases, and Tech Trends in Data a...
The Data Metaverse: Unpacking the Roles, Use Cases, and Tech Trends in Data a...The Data Metaverse: Unpacking the Roles, Use Cases, and Tech Trends in Data a...
The Data Metaverse: Unpacking the Roles, Use Cases, and Tech Trends in Data a...
 
UiPath Studio Web workshop series - Day 7
UiPath Studio Web workshop series - Day 7UiPath Studio Web workshop series - Day 7
UiPath Studio Web workshop series - Day 7
 
Introduction to Matsuo Laboratory (ENG).pptx
Introduction to Matsuo Laboratory (ENG).pptxIntroduction to Matsuo Laboratory (ENG).pptx
Introduction to Matsuo Laboratory (ENG).pptx
 
Cloud Revolution: Exploring the New Wave of Serverless Spatial Data
Cloud Revolution: Exploring the New Wave of Serverless Spatial DataCloud Revolution: Exploring the New Wave of Serverless Spatial Data
Cloud Revolution: Exploring the New Wave of Serverless Spatial Data
 

Little bits of cardboard - a Kanban case study

  • 1.
  • 2.
  • 3.
  • 4.
  • 5.
  • 6.
  • 7.
  • 8.
  • 9.
  • 10.
  • 11.
  • 12.
  • 13.
  • 14.
  • 15.
  • 16.
  • 17.
  • 18.
  • 19.
  • 20.

Notes de l'éditeur

  1. This shows a typical agile story board. There is an area for the sprint backlog, the Work in progress and signed off work.
  2. Japanese for “visual (kan) card(ban)”Kaizen – improvement (pause, reflect, adapt)Muda - waste