SlideShare ist ein Scribd-Unternehmen logo
1 von 69
Using Bets, Boards and Missions to
Inspire Org-Wide Agility
QCon New York 2019
Joh Cutler
InfoQ.com: News & Community Site
• 750,000 unique visitors/month
• Published in 4 languages (English, Chinese, Japanese and Brazilian
Portuguese)
• Post content from our QCon conferences
• News 15-20 / week
• Articles 3-4 / week
• Presentations (videos) 12-15 / week
• Interviews 2-3 / week
• Books 1 / month
Watch the video with slide
synchronization on InfoQ.com!
https://www.infoq.com/presentations/
bets-boards-missions-agile/
Presented at QCon New York
www.qconnewyork.com
Purpose of QCon
- to empower software development by facilitating the spread of
knowledge and innovation
Strategy
- practitioner-driven conference designed for YOU: influencers of
change and innovation in your teams
- speakers and topics driving the evolution and innovation
- connecting and catalyzing the influencers and innovators
Highlights
- attended by more than 12,000 delegates since 2007
- held in 9 cities worldwide
John Cutler
@johncutlefish
medium.com/@johnpcutler
Who is this for?
Anatomy of a failed change agent…
“Oh, this sounds interesting…”
“What is John saying? What does he want?”
“We need more of that! But how?”
“John is causing mass agitation!”
“Ugh. Politics as usual…”
“Danger! DANGER!”
“I guess this will never change…”
“It is! Happy to have you aboard JC!”
“We should try this…”
Professional Canary in a Coal Mine
Confusion (externally, and personally) between…
My personal needs (including a new to “fix”)
Advocating for participatory continuous
improvement (the process, not specific outcomes)
Specific interventions (e.g. let’s do this)
Change agent V2(or 10)…
It is hard. For everyone.
Some are healthier than others.
OKRs?
Canvas X?
Canvas Y?
Discovery Sprints?
Research Sprints?
Google Sprint?
Jobs-to-be-done?
One-pagers?
Tribes and squads?
HEART?
AARRR?
Respond
Sense
Respond
Sense
A whole universe of safe to fail hacks
Focus on the OS for “trying things”
Coherence and sense-making
Offer ideas occasionally
The big ideas…
Product development is a beautiful, fractal, networked mess
Efforts to simplify or standardize often backfire
Treating it like a factory often backfires
Reflect on what is actually happening
Create a flow of meaningful stories
Embrace the mess
Mirrors are powerful.
A quick Feature Factory detour…
Angst is easy (and easy to trigger)
People crave certainty (and uncertainty = opportunity)
People have a deep, deep need for a sense of impact
People have a deep, deep need for coherence
More about a constant flow of impactful stories
Rapid feedback loops. More repeatable wins (and bigger wins). More with less complexity.
5 4 2 6 7 3
3 2 1
3 6 7 8 2 6 10 9
6
27
49
Well oiled feature factory. Reasonably usable features. Reasonably happy customers. Occasional wins.
Difficult to get anything “out the door”. Extremely long feedback loops.
Impact
Total
Time
Framing things as bets…
1
“So that is your bet? Let’s talk about it…”
Bets can be…
Big
Small
Risky
Safe
Prescriptive
Descriptive
Big batch
Increment friendly
Upfront gamble
Change bet over time
Networked/connected
Isolated
http://tiny.cc/you-betcha
Write some BetLibs
The work takes on different shapes…
2
A. Build exactly this [to a predetermined specification]
B. Build something that does [specific behavior, input-output,
interaction]
C. Build something that lets a segment of customers complete [some
task, activity, goal]
D. Solve this [more open-ended customer problem]
E. Explore the challenges of, and improve the experience for,
[segment of users/customers]
F. Increase/decrease [metric] known to influence a specific business
outcome
G. Explore various potential leverage points and run experiments to
influence [specific business outcome]
H. Directly generate [short-term business outcome]
I. Generate [long-term business outcome]
A B C D E F G H I
Dev
UX
PM
A. Build exactly this [to a
predetermined specification]
B. Build something that does
[specific behavior, input-output,
interaction]
C. Build something that lets a
segment of customers
complete [some task, activity,
goal]
D. Solve this [more open-ended
customer problem]
E. Explore the challenges of, and
improve the experience for,
[segment of users/customers]
F. Increase/decrease [metric]
known to influence a specific
business outcome
G. Explore various potential
leverage points and run
experiments to influence
[specific business outcome]
H. Directly generate [short-term
business outcome]
I. Generate [long-term business
outcome]
A
B
C
D
E
F
G
H
I
Team
PM
GM
Team
PM
VPoP
GM
Org 1 Org 2
Categorize a sample of work.
Make it visual.
The messy middle…
3
1-3h 1-3d 1-3w 1-3m 1-3q 1-3y 1-3decades
Sense
Respond
1-3h 1-3d 1-3w 1-3m 1-3q 1-3y 1-3decades
Sense
Respond Messy Middle
Map work along a time horizon.
Nest related work
Hack the language…
4
Problems/Solutions
Projects
Experiments
“Done”
“Done”
Dependency Wrangling
Debt
Opportunities/Interventions
Missions
Bets
Decision Point
Review & Measurement
Playing Tetris
Drag
Build

Measure
Learn 

Modulate
generates new
opportunities
discover & target
opportunities
Where should we intervene
to learn/create value?
intervene
Let’s try this...
make (some) sense of the
system
how is value created,
stored, transferred?
diverge converge diverge converge
Observe Orient Decide Act
diverge converge
Betting on what we
understand...
Betting on where we
focus...
Betting on how we
respond...
generates new
opportunities
etc learn more 

about system
alters system
1 2 3 Build

Measure
Learn 

Modulate
Catalog language in use.
Try subtle changes.
Designing the work taxonomy…
5
What must you eventually know
about this work to make good
decisions at the right cadence?
How does work appear in these queues?
How often? With advance notice? Who puts work in these queues?
Dependencies on other groups
Deadline? (real or not)
Cost of being late (or not delivering feature)
Size of effort
Expect impact of item
Ability to measure impact (and time)
Data on existing usage
Who is advocate? Who are stakeholders?
What is solution certainty? (range)
What is problem uncertainty?
Impacting current customers?
Type of design work
Core improvements
New feature development
Bandaids/fixes
Skills/functions required
Customer visibility
Collaboration model (e.g. contractor teams)
Urgency (P0, P1, P2)
Assumptions / beliefs
Learning goal? Permanence?
Risks willing to incur
Needed / caused by / blocked by tech debt
Background / prior story / veracity of data
Headwinds / blockers
Connected to core strategy?
Reactive vs proactive
Tech used
Org visibility
PIA factor / fun factor
Do not disturb - focus required
Solve tech debt / add new tech debt
When do you need to know the info?
Who needs to be around?
Tags V1 Vs.
“Got it! So we will have a PRD
template that EVERYONE needs to
fill in, and review it at each and
every handoff?”



Instead consider…
Try a “flexible design a one-pager”
exercise (or one-pager checklist)
Letter to the future…
6
A continuous artifact…
Kickoff
Revisit
Regularly
Review
Analysis and
Framing
A safe decision review.
Big maps of systems…
7
Just try it…
Flattening the model…
8A
3-9mo1-3y
Mid/Long
Term Value
North Star
Input
Input
Input
Health
Indicators
Level 1 BetsLevel 0 Bets
Value Creation Model
Beliefs, Assumptions, Strategy
Weekly Learning Users (WLUs)
# of Weekly Users who are active
and share a learning that is
consumed by at least 2 other people
in the previous 7 days.
Activated Accounts
Organizations that have reached at least 5
WLUs.
Broadcasted Learning (BL)
A chart, dashboard, or Notebook consumed by
2 or more people within a 7 day period.
Consumption of Learnings (CoL)
Total reach of BL in an organization within a 7
day period.
North Star workshop
Layering in interventions and OKRs…
8B
3-9mo1-3y
Mid/Long
Term Value
North Star
Input
Input
Input
Health
Indicators
Level 1 BetsLevel 0 Bets
Value Creation Model
Beliefs, Assumptions, Strategy
Target Input(s)
Level 2 Bets
1-3mo
3-9mo1-3y
Mid/Long
Term Value
North Star
Input
Input
Input
Health
Indicators
Level 1 BetsLevel 0 Bets
Value Creation Model
Beliefs, Assumptions, Strategy
Target Input(s)
Level 2 Bets
1-3mo
OKRs
Forecasted impact on input
Map work to Inputs.
A big, visual, hybrid board…
8C
Level 2 Bet
Target Input(s)
Level 3 Bet
Focus On

Next
To Try Trying Review
ReviewFocusing
To Try Trying Review
To Try Trying Review
Team A
Team B
Team C
1-3mo 1-3w
OKRs
Impact 

on

Input
3-9mo1-3y
Mid/Long Term
Value North Star
Input
Input
Input
Health
Indicators
Level 1 BetsLevel 0 Bets
Value Creation Model
Beliefs, Assumptions, Strategy
3mo
Observe continuously, revisit periodically
North Star



1-3 year bets Inputs
Focusing Trying Review
Get out that tape.
Get those magnets.
Questions
Watch the video with slide
synchronization on InfoQ.com!
https://www.infoq.com/presentations/
bets-boards-missions-agile/

Weitere ähnliche Inhalte

Was ist angesagt?

Ilead 1022 intro2_innovation
Ilead 1022 intro2_innovationIlead 1022 intro2_innovation
Ilead 1022 intro2_innovationChristine Kreger
 
9 lean lessons at the new york times
9 lean lessons at the new york times9 lean lessons at the new york times
9 lean lessons at the new york timesThoughtworks
 
The Nitty Gritty of Setting Up Customer Discovery Meetings
The Nitty Gritty of Setting Up Customer Discovery MeetingsThe Nitty Gritty of Setting Up Customer Discovery Meetings
The Nitty Gritty of Setting Up Customer Discovery MeetingsLean Startup Co.
 
Evolve or Die: A3 Thinking and Popcorn Flow in Action (#LKCE14)
Evolve or Die: A3 Thinking and Popcorn Flow in Action (#LKCE14)Evolve or Die: A3 Thinking and Popcorn Flow in Action (#LKCE14)
Evolve or Die: A3 Thinking and Popcorn Flow in Action (#LKCE14)Claudio Perrone
 
Running Lean Startup Experiments
Running Lean Startup ExperimentsRunning Lean Startup Experiments
Running Lean Startup ExperimentsLifehack HQ
 
Design Thinking - Case Studies
Design Thinking  - Case Studies Design Thinking  - Case Studies
Design Thinking - Case Studies Saurabh Kaushik
 
Jane Austin - All the Things You Need When You Want Great Design
Jane Austin - All the Things You Need When You Want Great DesignJane Austin - All the Things You Need When You Want Great Design
Jane Austin - All the Things You Need When You Want Great DesignTuring Fest
 
Thinking Inside The Box - Systematic Inventive Thinking
Thinking Inside The Box - Systematic Inventive ThinkingThinking Inside The Box - Systematic Inventive Thinking
Thinking Inside The Box - Systematic Inventive ThinkingNguyen Trung Tuyen
 
2015 Introduction to Lean Startup
2015 Introduction to Lean Startup2015 Introduction to Lean Startup
2015 Introduction to Lean StartupJanice Fraser
 
Email first a lean strategy & a workflow lens
Email first  a lean strategy & a workflow lensEmail first  a lean strategy & a workflow lens
Email first a lean strategy & a workflow lensMike Biggs GAICD
 
2015 Lean Startup Conference - Leader's Guide Project Planner
2015 Lean Startup Conference - Leader's Guide Project Planner2015 Lean Startup Conference - Leader's Guide Project Planner
2015 Lean Startup Conference - Leader's Guide Project PlannerJanice Fraser
 
MVP Building & Testing Your Set of “Must Have” Features
MVP Building & Testing Your Set of “Must Have” FeaturesMVP Building & Testing Your Set of “Must Have” Features
MVP Building & Testing Your Set of “Must Have” FeaturesSergey Sundukovskiy
 
Morgenbooster - Dynamic Roadmap: Bridging the gap between strategy and execution
Morgenbooster - Dynamic Roadmap: Bridging the gap between strategy and executionMorgenbooster - Dynamic Roadmap: Bridging the gap between strategy and execution
Morgenbooster - Dynamic Roadmap: Bridging the gap between strategy and execution1508 A/S
 
Effective Product Brainstorming
Effective Product BrainstormingEffective Product Brainstorming
Effective Product BrainstormingCprime
 
Running Lean Startup Experiments
Running Lean Startup ExperimentsRunning Lean Startup Experiments
Running Lean Startup ExperimentsZach Nies
 
Estimation tricks and traps
Estimation tricks and trapsEstimation tricks and traps
Estimation tricks and trapsMarta Kossowska
 
Design Thinking, From Idea to Product @ Product Tank
Design Thinking, From Idea to Product @ Product TankDesign Thinking, From Idea to Product @ Product Tank
Design Thinking, From Idea to Product @ Product TankDavide Scalzo
 

Was ist angesagt? (20)

Ilead 1022 intro2_innovation
Ilead 1022 intro2_innovationIlead 1022 intro2_innovation
Ilead 1022 intro2_innovation
 
9 lean lessons at the new york times
9 lean lessons at the new york times9 lean lessons at the new york times
9 lean lessons at the new york times
 
The Nitty Gritty of Setting Up Customer Discovery Meetings
The Nitty Gritty of Setting Up Customer Discovery MeetingsThe Nitty Gritty of Setting Up Customer Discovery Meetings
The Nitty Gritty of Setting Up Customer Discovery Meetings
 
Evolve or Die: A3 Thinking and Popcorn Flow in Action (#LKCE14)
Evolve or Die: A3 Thinking and Popcorn Flow in Action (#LKCE14)Evolve or Die: A3 Thinking and Popcorn Flow in Action (#LKCE14)
Evolve or Die: A3 Thinking and Popcorn Flow in Action (#LKCE14)
 
Running Lean Startup Experiments
Running Lean Startup ExperimentsRunning Lean Startup Experiments
Running Lean Startup Experiments
 
Design Thinking - Case Studies
Design Thinking  - Case Studies Design Thinking  - Case Studies
Design Thinking - Case Studies
 
Jane Austin - All the Things You Need When You Want Great Design
Jane Austin - All the Things You Need When You Want Great DesignJane Austin - All the Things You Need When You Want Great Design
Jane Austin - All the Things You Need When You Want Great Design
 
Thinking Inside The Box - Systematic Inventive Thinking
Thinking Inside The Box - Systematic Inventive ThinkingThinking Inside The Box - Systematic Inventive Thinking
Thinking Inside The Box - Systematic Inventive Thinking
 
2015 Introduction to Lean Startup
2015 Introduction to Lean Startup2015 Introduction to Lean Startup
2015 Introduction to Lean Startup
 
NoEstimates @ miniIAD
NoEstimates @ miniIADNoEstimates @ miniIAD
NoEstimates @ miniIAD
 
Email first a lean strategy & a workflow lens
Email first  a lean strategy & a workflow lensEmail first  a lean strategy & a workflow lens
Email first a lean strategy & a workflow lens
 
2015 Lean Startup Conference - Leader's Guide Project Planner
2015 Lean Startup Conference - Leader's Guide Project Planner2015 Lean Startup Conference - Leader's Guide Project Planner
2015 Lean Startup Conference - Leader's Guide Project Planner
 
MVP Building & Testing Your Set of “Must Have” Features
MVP Building & Testing Your Set of “Must Have” FeaturesMVP Building & Testing Your Set of “Must Have” Features
MVP Building & Testing Your Set of “Must Have” Features
 
Morgenbooster - Dynamic Roadmap: Bridging the gap between strategy and execution
Morgenbooster - Dynamic Roadmap: Bridging the gap between strategy and executionMorgenbooster - Dynamic Roadmap: Bridging the gap between strategy and execution
Morgenbooster - Dynamic Roadmap: Bridging the gap between strategy and execution
 
Effective Product Brainstorming
Effective Product BrainstormingEffective Product Brainstorming
Effective Product Brainstorming
 
Customer Discovery
Customer DiscoveryCustomer Discovery
Customer Discovery
 
Running Lean Startup Experiments
Running Lean Startup ExperimentsRunning Lean Startup Experiments
Running Lean Startup Experiments
 
Estimation tricks and traps
Estimation tricks and trapsEstimation tricks and traps
Estimation tricks and traps
 
Super Projects
Super ProjectsSuper Projects
Super Projects
 
Design Thinking, From Idea to Product @ Product Tank
Design Thinking, From Idea to Product @ Product TankDesign Thinking, From Idea to Product @ Product Tank
Design Thinking, From Idea to Product @ Product Tank
 

Ähnlich wie Using Bets, Boards and Missions to Inspire Org-wide Agility

LaunchNJ: Product Design Sprints
LaunchNJ: Product Design SprintsLaunchNJ: Product Design Sprints
LaunchNJ: Product Design SprintsAlex Britez
 
Chicago Lean Startup Challenge
Chicago Lean Startup ChallengeChicago Lean Startup Challenge
Chicago Lean Startup ChallengeqrKinetix
 
Leveraging Distributed Tools with Agile Teams
Leveraging Distributed Tools with Agile TeamsLeveraging Distributed Tools with Agile Teams
Leveraging Distributed Tools with Agile TeamsLuke Hohmann
 
NIDOS Log frames training 14th March 2013 - Jill Gentle
NIDOS Log frames training 14th March 2013 - Jill GentleNIDOS Log frames training 14th March 2013 - Jill Gentle
NIDOS Log frames training 14th March 2013 - Jill GentleNIDOS
 
Agile Development Overview (with a bit about builds)
Agile Development Overview (with a bit about builds)Agile Development Overview (with a bit about builds)
Agile Development Overview (with a bit about builds)David Benjamin
 
PCC2 - How do I incorporate Apple-like design into my products?
PCC2 - How do I incorporate Apple-like design into my products?PCC2 - How do I incorporate Apple-like design into my products?
PCC2 - How do I incorporate Apple-like design into my products?ProductCamp Chicago
 
Ig agile roots-2010
Ig agile roots-2010Ig agile roots-2010
Ig agile roots-2010Luke Hohmann
 
Agile practices for management
Agile practices for managementAgile practices for management
Agile practices for managementIcalia Labs
 
Getting the most from Scrum and Agile.pdf
Getting the most from Scrum and Agile.pdfGetting the most from Scrum and Agile.pdf
Getting the most from Scrum and Agile.pdfEveryThing68
 
Exec Leadership workshop
Exec Leadership workshopExec Leadership workshop
Exec Leadership workshopRavi Tadwalkar
 
Accelerator Workshop "After"
Accelerator Workshop "After"Accelerator Workshop "After"
Accelerator Workshop "After"Yvonne Shek
 
Process Evolution and Product Maturity
Process Evolution and Product MaturityProcess Evolution and Product Maturity
Process Evolution and Product MaturityQAware GmbH
 
Maximizing the impact of UX in an agile environment: Mixing agile and Lean UX
Maximizing the impact of UX in an agile environment: Mixing agile and Lean UXMaximizing the impact of UX in an agile environment: Mixing agile and Lean UX
Maximizing the impact of UX in an agile environment: Mixing agile and Lean UXJohn Whalen
 
Maximizing the impact of UX in an agile environment: Mixing agile and lean UX
Maximizing the impact of UX in an agile environment: Mixing agile and lean UXMaximizing the impact of UX in an agile environment: Mixing agile and lean UX
Maximizing the impact of UX in an agile environment: Mixing agile and lean UXBrilliant Experience
 
User Story Mapping: Discover the whole story, build the right product
User Story Mapping: Discover the whole story, build the right productUser Story Mapping: Discover the whole story, build the right product
User Story Mapping: Discover the whole story, build the right productJoan Choi
 
Introduction To Project Management Megat
Introduction To Project Management MegatIntroduction To Project Management Megat
Introduction To Project Management Megatmegat zainurul anuar
 

Ähnlich wie Using Bets, Boards and Missions to Inspire Org-wide Agility (20)

AcceleratorWorkshop_UPA2008_After
AcceleratorWorkshop_UPA2008_AfterAcceleratorWorkshop_UPA2008_After
AcceleratorWorkshop_UPA2008_After
 
LaunchNJ: Product Design Sprints
LaunchNJ: Product Design SprintsLaunchNJ: Product Design Sprints
LaunchNJ: Product Design Sprints
 
Chicago Lean Startup Challenge
Chicago Lean Startup ChallengeChicago Lean Startup Challenge
Chicago Lean Startup Challenge
 
Leveraging Distributed Tools with Agile Teams
Leveraging Distributed Tools with Agile TeamsLeveraging Distributed Tools with Agile Teams
Leveraging Distributed Tools with Agile Teams
 
Testers in an agile world
Testers in an agile worldTesters in an agile world
Testers in an agile world
 
NIDOS Log frames training 14th March 2013 - Jill Gentle
NIDOS Log frames training 14th March 2013 - Jill GentleNIDOS Log frames training 14th March 2013 - Jill Gentle
NIDOS Log frames training 14th March 2013 - Jill Gentle
 
Agile Development Overview (with a bit about builds)
Agile Development Overview (with a bit about builds)Agile Development Overview (with a bit about builds)
Agile Development Overview (with a bit about builds)
 
PCC2 - How do I incorporate Apple-like design into my products?
PCC2 - How do I incorporate Apple-like design into my products?PCC2 - How do I incorporate Apple-like design into my products?
PCC2 - How do I incorporate Apple-like design into my products?
 
Ig agile roots-2010
Ig agile roots-2010Ig agile roots-2010
Ig agile roots-2010
 
Agile practices for management
Agile practices for managementAgile practices for management
Agile practices for management
 
Getting the most from Scrum and Agile.pdf
Getting the most from Scrum and Agile.pdfGetting the most from Scrum and Agile.pdf
Getting the most from Scrum and Agile.pdf
 
Kickingoff agile product team culture
Kickingoff agile product team cultureKickingoff agile product team culture
Kickingoff agile product team culture
 
Exec Leadership workshop
Exec Leadership workshopExec Leadership workshop
Exec Leadership workshop
 
Accelerator Workshop "After"
Accelerator Workshop "After"Accelerator Workshop "After"
Accelerator Workshop "After"
 
Process Evolution and Product Maturity
Process Evolution and Product MaturityProcess Evolution and Product Maturity
Process Evolution and Product Maturity
 
Maximizing the impact of UX in an agile environment: Mixing agile and Lean UX
Maximizing the impact of UX in an agile environment: Mixing agile and Lean UXMaximizing the impact of UX in an agile environment: Mixing agile and Lean UX
Maximizing the impact of UX in an agile environment: Mixing agile and Lean UX
 
Maximizing the impact of UX in an agile environment: Mixing agile and lean UX
Maximizing the impact of UX in an agile environment: Mixing agile and lean UXMaximizing the impact of UX in an agile environment: Mixing agile and lean UX
Maximizing the impact of UX in an agile environment: Mixing agile and lean UX
 
User Story Mapping: Discover the whole story, build the right product
User Story Mapping: Discover the whole story, build the right productUser Story Mapping: Discover the whole story, build the right product
User Story Mapping: Discover the whole story, build the right product
 
Agile Presentation_Lite
Agile Presentation_LiteAgile Presentation_Lite
Agile Presentation_Lite
 
Introduction To Project Management Megat
Introduction To Project Management MegatIntroduction To Project Management Megat
Introduction To Project Management Megat
 

Mehr von C4Media

Streaming a Million Likes/Second: Real-Time Interactions on Live Video
Streaming a Million Likes/Second: Real-Time Interactions on Live VideoStreaming a Million Likes/Second: Real-Time Interactions on Live Video
Streaming a Million Likes/Second: Real-Time Interactions on Live VideoC4Media
 
Next Generation Client APIs in Envoy Mobile
Next Generation Client APIs in Envoy MobileNext Generation Client APIs in Envoy Mobile
Next Generation Client APIs in Envoy MobileC4Media
 
Software Teams and Teamwork Trends Report Q1 2020
Software Teams and Teamwork Trends Report Q1 2020Software Teams and Teamwork Trends Report Q1 2020
Software Teams and Teamwork Trends Report Q1 2020C4Media
 
Understand the Trade-offs Using Compilers for Java Applications
Understand the Trade-offs Using Compilers for Java ApplicationsUnderstand the Trade-offs Using Compilers for Java Applications
Understand the Trade-offs Using Compilers for Java ApplicationsC4Media
 
Kafka Needs No Keeper
Kafka Needs No KeeperKafka Needs No Keeper
Kafka Needs No KeeperC4Media
 
High Performing Teams Act Like Owners
High Performing Teams Act Like OwnersHigh Performing Teams Act Like Owners
High Performing Teams Act Like OwnersC4Media
 
Does Java Need Inline Types? What Project Valhalla Can Bring to Java
Does Java Need Inline Types? What Project Valhalla Can Bring to JavaDoes Java Need Inline Types? What Project Valhalla Can Bring to Java
Does Java Need Inline Types? What Project Valhalla Can Bring to JavaC4Media
 
Service Meshes- The Ultimate Guide
Service Meshes- The Ultimate GuideService Meshes- The Ultimate Guide
Service Meshes- The Ultimate GuideC4Media
 
Shifting Left with Cloud Native CI/CD
Shifting Left with Cloud Native CI/CDShifting Left with Cloud Native CI/CD
Shifting Left with Cloud Native CI/CDC4Media
 
CI/CD for Machine Learning
CI/CD for Machine LearningCI/CD for Machine Learning
CI/CD for Machine LearningC4Media
 
Fault Tolerance at Speed
Fault Tolerance at SpeedFault Tolerance at Speed
Fault Tolerance at SpeedC4Media
 
Architectures That Scale Deep - Regaining Control in Deep Systems
Architectures That Scale Deep - Regaining Control in Deep SystemsArchitectures That Scale Deep - Regaining Control in Deep Systems
Architectures That Scale Deep - Regaining Control in Deep SystemsC4Media
 
ML in the Browser: Interactive Experiences with Tensorflow.js
ML in the Browser: Interactive Experiences with Tensorflow.jsML in the Browser: Interactive Experiences with Tensorflow.js
ML in the Browser: Interactive Experiences with Tensorflow.jsC4Media
 
Build Your Own WebAssembly Compiler
Build Your Own WebAssembly CompilerBuild Your Own WebAssembly Compiler
Build Your Own WebAssembly CompilerC4Media
 
User & Device Identity for Microservices @ Netflix Scale
User & Device Identity for Microservices @ Netflix ScaleUser & Device Identity for Microservices @ Netflix Scale
User & Device Identity for Microservices @ Netflix ScaleC4Media
 
Scaling Patterns for Netflix's Edge
Scaling Patterns for Netflix's EdgeScaling Patterns for Netflix's Edge
Scaling Patterns for Netflix's EdgeC4Media
 
Make Your Electron App Feel at Home Everywhere
Make Your Electron App Feel at Home EverywhereMake Your Electron App Feel at Home Everywhere
Make Your Electron App Feel at Home EverywhereC4Media
 
The Talk You've Been Await-ing For
The Talk You've Been Await-ing ForThe Talk You've Been Await-ing For
The Talk You've Been Await-ing ForC4Media
 
Future of Data Engineering
Future of Data EngineeringFuture of Data Engineering
Future of Data EngineeringC4Media
 
Automated Testing for Terraform, Docker, Packer, Kubernetes, and More
Automated Testing for Terraform, Docker, Packer, Kubernetes, and MoreAutomated Testing for Terraform, Docker, Packer, Kubernetes, and More
Automated Testing for Terraform, Docker, Packer, Kubernetes, and MoreC4Media
 

Mehr von C4Media (20)

Streaming a Million Likes/Second: Real-Time Interactions on Live Video
Streaming a Million Likes/Second: Real-Time Interactions on Live VideoStreaming a Million Likes/Second: Real-Time Interactions on Live Video
Streaming a Million Likes/Second: Real-Time Interactions on Live Video
 
Next Generation Client APIs in Envoy Mobile
Next Generation Client APIs in Envoy MobileNext Generation Client APIs in Envoy Mobile
Next Generation Client APIs in Envoy Mobile
 
Software Teams and Teamwork Trends Report Q1 2020
Software Teams and Teamwork Trends Report Q1 2020Software Teams and Teamwork Trends Report Q1 2020
Software Teams and Teamwork Trends Report Q1 2020
 
Understand the Trade-offs Using Compilers for Java Applications
Understand the Trade-offs Using Compilers for Java ApplicationsUnderstand the Trade-offs Using Compilers for Java Applications
Understand the Trade-offs Using Compilers for Java Applications
 
Kafka Needs No Keeper
Kafka Needs No KeeperKafka Needs No Keeper
Kafka Needs No Keeper
 
High Performing Teams Act Like Owners
High Performing Teams Act Like OwnersHigh Performing Teams Act Like Owners
High Performing Teams Act Like Owners
 
Does Java Need Inline Types? What Project Valhalla Can Bring to Java
Does Java Need Inline Types? What Project Valhalla Can Bring to JavaDoes Java Need Inline Types? What Project Valhalla Can Bring to Java
Does Java Need Inline Types? What Project Valhalla Can Bring to Java
 
Service Meshes- The Ultimate Guide
Service Meshes- The Ultimate GuideService Meshes- The Ultimate Guide
Service Meshes- The Ultimate Guide
 
Shifting Left with Cloud Native CI/CD
Shifting Left with Cloud Native CI/CDShifting Left with Cloud Native CI/CD
Shifting Left with Cloud Native CI/CD
 
CI/CD for Machine Learning
CI/CD for Machine LearningCI/CD for Machine Learning
CI/CD for Machine Learning
 
Fault Tolerance at Speed
Fault Tolerance at SpeedFault Tolerance at Speed
Fault Tolerance at Speed
 
Architectures That Scale Deep - Regaining Control in Deep Systems
Architectures That Scale Deep - Regaining Control in Deep SystemsArchitectures That Scale Deep - Regaining Control in Deep Systems
Architectures That Scale Deep - Regaining Control in Deep Systems
 
ML in the Browser: Interactive Experiences with Tensorflow.js
ML in the Browser: Interactive Experiences with Tensorflow.jsML in the Browser: Interactive Experiences with Tensorflow.js
ML in the Browser: Interactive Experiences with Tensorflow.js
 
Build Your Own WebAssembly Compiler
Build Your Own WebAssembly CompilerBuild Your Own WebAssembly Compiler
Build Your Own WebAssembly Compiler
 
User & Device Identity for Microservices @ Netflix Scale
User & Device Identity for Microservices @ Netflix ScaleUser & Device Identity for Microservices @ Netflix Scale
User & Device Identity for Microservices @ Netflix Scale
 
Scaling Patterns for Netflix's Edge
Scaling Patterns for Netflix's EdgeScaling Patterns for Netflix's Edge
Scaling Patterns for Netflix's Edge
 
Make Your Electron App Feel at Home Everywhere
Make Your Electron App Feel at Home EverywhereMake Your Electron App Feel at Home Everywhere
Make Your Electron App Feel at Home Everywhere
 
The Talk You've Been Await-ing For
The Talk You've Been Await-ing ForThe Talk You've Been Await-ing For
The Talk You've Been Await-ing For
 
Future of Data Engineering
Future of Data EngineeringFuture of Data Engineering
Future of Data Engineering
 
Automated Testing for Terraform, Docker, Packer, Kubernetes, and More
Automated Testing for Terraform, Docker, Packer, Kubernetes, and MoreAutomated Testing for Terraform, Docker, Packer, Kubernetes, and More
Automated Testing for Terraform, Docker, Packer, Kubernetes, and More
 

Kürzlich hochgeladen

The Future of Software Development - Devin AI Innovative Approach.pdf
The Future of Software Development - Devin AI Innovative Approach.pdfThe Future of Software Development - Devin AI Innovative Approach.pdf
The Future of Software Development - Devin AI Innovative Approach.pdfSeasiaInfotech2
 
Install Stable Diffusion in windows machine
Install Stable Diffusion in windows machineInstall Stable Diffusion in windows machine
Install Stable Diffusion in windows machinePadma Pradeep
 
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)Mark Simos
 
Advanced Test Driven-Development @ php[tek] 2024
Advanced Test Driven-Development @ php[tek] 2024Advanced Test Driven-Development @ php[tek] 2024
Advanced Test Driven-Development @ php[tek] 2024Scott Keck-Warren
 
Bun (KitWorks Team Study 노별마루 발표 2024.4.22)
Bun (KitWorks Team Study 노별마루 발표 2024.4.22)Bun (KitWorks Team Study 노별마루 발표 2024.4.22)
Bun (KitWorks Team Study 노별마루 발표 2024.4.22)Wonjun Hwang
 
Ensuring Technical Readiness For Copilot in Microsoft 365
Ensuring Technical Readiness For Copilot in Microsoft 365Ensuring Technical Readiness For Copilot in Microsoft 365
Ensuring Technical Readiness For Copilot in Microsoft 3652toLead Limited
 
My Hashitalk Indonesia April 2024 Presentation
My Hashitalk Indonesia April 2024 PresentationMy Hashitalk Indonesia April 2024 Presentation
My Hashitalk Indonesia April 2024 PresentationRidwan Fadjar
 
Connect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck PresentationConnect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck PresentationSlibray Presentation
 
Powerpoint exploring the locations used in television show Time Clash
Powerpoint exploring the locations used in television show Time ClashPowerpoint exploring the locations used in television show Time Clash
Powerpoint exploring the locations used in television show Time Clashcharlottematthew16
 
Human Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR SystemsHuman Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR SystemsMark Billinghurst
 
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024BookNet Canada
 
Leverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage Cost
Leverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage CostLeverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage Cost
Leverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage CostZilliz
 
"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr Bagan"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr BaganFwdays
 
Training state-of-the-art general text embedding
Training state-of-the-art general text embeddingTraining state-of-the-art general text embedding
Training state-of-the-art general text embeddingZilliz
 
What's New in Teams Calling, Meetings and Devices March 2024
What's New in Teams Calling, Meetings and Devices March 2024What's New in Teams Calling, Meetings and Devices March 2024
What's New in Teams Calling, Meetings and Devices March 2024Stephanie Beckett
 
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...Integration and Automation in Practice: CI/CD in Mule Integration and Automat...
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...Patryk Bandurski
 
Developer Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQLDeveloper Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQLScyllaDB
 
Story boards and shot lists for my a level piece
Story boards and shot lists for my a level pieceStory boards and shot lists for my a level piece
Story boards and shot lists for my a level piececharlottematthew16
 
Artificial intelligence in cctv survelliance.pptx
Artificial intelligence in cctv survelliance.pptxArtificial intelligence in cctv survelliance.pptx
Artificial intelligence in cctv survelliance.pptxhariprasad279825
 

Kürzlich hochgeladen (20)

The Future of Software Development - Devin AI Innovative Approach.pdf
The Future of Software Development - Devin AI Innovative Approach.pdfThe Future of Software Development - Devin AI Innovative Approach.pdf
The Future of Software Development - Devin AI Innovative Approach.pdf
 
Install Stable Diffusion in windows machine
Install Stable Diffusion in windows machineInstall Stable Diffusion in windows machine
Install Stable Diffusion in windows machine
 
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
 
Advanced Test Driven-Development @ php[tek] 2024
Advanced Test Driven-Development @ php[tek] 2024Advanced Test Driven-Development @ php[tek] 2024
Advanced Test Driven-Development @ php[tek] 2024
 
E-Vehicle_Hacking_by_Parul Sharma_null_owasp.pptx
E-Vehicle_Hacking_by_Parul Sharma_null_owasp.pptxE-Vehicle_Hacking_by_Parul Sharma_null_owasp.pptx
E-Vehicle_Hacking_by_Parul Sharma_null_owasp.pptx
 
Bun (KitWorks Team Study 노별마루 발표 2024.4.22)
Bun (KitWorks Team Study 노별마루 발표 2024.4.22)Bun (KitWorks Team Study 노별마루 발표 2024.4.22)
Bun (KitWorks Team Study 노별마루 발표 2024.4.22)
 
Ensuring Technical Readiness For Copilot in Microsoft 365
Ensuring Technical Readiness For Copilot in Microsoft 365Ensuring Technical Readiness For Copilot in Microsoft 365
Ensuring Technical Readiness For Copilot in Microsoft 365
 
My Hashitalk Indonesia April 2024 Presentation
My Hashitalk Indonesia April 2024 PresentationMy Hashitalk Indonesia April 2024 Presentation
My Hashitalk Indonesia April 2024 Presentation
 
Connect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck PresentationConnect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck Presentation
 
Powerpoint exploring the locations used in television show Time Clash
Powerpoint exploring the locations used in television show Time ClashPowerpoint exploring the locations used in television show Time Clash
Powerpoint exploring the locations used in television show Time Clash
 
Human Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR SystemsHuman Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR Systems
 
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
 
Leverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage Cost
Leverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage CostLeverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage Cost
Leverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage Cost
 
"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr Bagan"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr Bagan
 
Training state-of-the-art general text embedding
Training state-of-the-art general text embeddingTraining state-of-the-art general text embedding
Training state-of-the-art general text embedding
 
What's New in Teams Calling, Meetings and Devices March 2024
What's New in Teams Calling, Meetings and Devices March 2024What's New in Teams Calling, Meetings and Devices March 2024
What's New in Teams Calling, Meetings and Devices March 2024
 
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...Integration and Automation in Practice: CI/CD in Mule Integration and Automat...
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...
 
Developer Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQLDeveloper Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQL
 
Story boards and shot lists for my a level piece
Story boards and shot lists for my a level pieceStory boards and shot lists for my a level piece
Story boards and shot lists for my a level piece
 
Artificial intelligence in cctv survelliance.pptx
Artificial intelligence in cctv survelliance.pptxArtificial intelligence in cctv survelliance.pptx
Artificial intelligence in cctv survelliance.pptx
 

Using Bets, Boards and Missions to Inspire Org-wide Agility

  • 1. Using Bets, Boards and Missions to Inspire Org-Wide Agility QCon New York 2019 Joh Cutler
  • 2. InfoQ.com: News & Community Site • 750,000 unique visitors/month • Published in 4 languages (English, Chinese, Japanese and Brazilian Portuguese) • Post content from our QCon conferences • News 15-20 / week • Articles 3-4 / week • Presentations (videos) 12-15 / week • Interviews 2-3 / week • Books 1 / month Watch the video with slide synchronization on InfoQ.com! https://www.infoq.com/presentations/ bets-boards-missions-agile/
  • 3. Presented at QCon New York www.qconnewyork.com Purpose of QCon - to empower software development by facilitating the spread of knowledge and innovation Strategy - practitioner-driven conference designed for YOU: influencers of change and innovation in your teams - speakers and topics driving the evolution and innovation - connecting and catalyzing the influencers and innovators Highlights - attended by more than 12,000 delegates since 2007 - held in 9 cities worldwide
  • 5. Who is this for?
  • 6. Anatomy of a failed change agent…
  • 7. “Oh, this sounds interesting…” “What is John saying? What does he want?” “We need more of that! But how?” “John is causing mass agitation!” “Ugh. Politics as usual…” “Danger! DANGER!” “I guess this will never change…” “It is! Happy to have you aboard JC!” “We should try this…”
  • 9. Confusion (externally, and personally) between… My personal needs (including a new to “fix”) Advocating for participatory continuous improvement (the process, not specific outcomes) Specific interventions (e.g. let’s do this)
  • 11.
  • 12. It is hard. For everyone. Some are healthier than others.
  • 13. OKRs? Canvas X? Canvas Y? Discovery Sprints? Research Sprints? Google Sprint? Jobs-to-be-done? One-pagers? Tribes and squads? HEART? AARRR?
  • 14.
  • 15.
  • 17. A whole universe of safe to fail hacks Focus on the OS for “trying things” Coherence and sense-making Offer ideas occasionally
  • 19. Product development is a beautiful, fractal, networked mess Efforts to simplify or standardize often backfire Treating it like a factory often backfires Reflect on what is actually happening Create a flow of meaningful stories Embrace the mess
  • 21. A quick Feature Factory detour…
  • 22.
  • 23. Angst is easy (and easy to trigger) People crave certainty (and uncertainty = opportunity) People have a deep, deep need for a sense of impact People have a deep, deep need for coherence More about a constant flow of impactful stories
  • 24. Rapid feedback loops. More repeatable wins (and bigger wins). More with less complexity. 5 4 2 6 7 3 3 2 1 3 6 7 8 2 6 10 9 6 27 49 Well oiled feature factory. Reasonably usable features. Reasonably happy customers. Occasional wins. Difficult to get anything “out the door”. Extremely long feedback loops. Impact Total Time
  • 25. Framing things as bets… 1
  • 26. “So that is your bet? Let’s talk about it…”
  • 27. Bets can be… Big Small Risky Safe Prescriptive Descriptive Big batch Increment friendly Upfront gamble Change bet over time Networked/connected Isolated
  • 30. The work takes on different shapes… 2
  • 31. A. Build exactly this [to a predetermined specification] B. Build something that does [specific behavior, input-output, interaction] C. Build something that lets a segment of customers complete [some task, activity, goal] D. Solve this [more open-ended customer problem] E. Explore the challenges of, and improve the experience for, [segment of users/customers] F. Increase/decrease [metric] known to influence a specific business outcome G. Explore various potential leverage points and run experiments to influence [specific business outcome] H. Directly generate [short-term business outcome] I. Generate [long-term business outcome]
  • 32.
  • 33. A B C D E F G H I Dev UX PM A. Build exactly this [to a predetermined specification] B. Build something that does [specific behavior, input-output, interaction] C. Build something that lets a segment of customers complete [some task, activity, goal] D. Solve this [more open-ended customer problem] E. Explore the challenges of, and improve the experience for, [segment of users/customers] F. Increase/decrease [metric] known to influence a specific business outcome G. Explore various potential leverage points and run experiments to influence [specific business outcome] H. Directly generate [short-term business outcome] I. Generate [long-term business outcome]
  • 35. Categorize a sample of work. Make it visual.
  • 37. 1-3h 1-3d 1-3w 1-3m 1-3q 1-3y 1-3decades Sense Respond
  • 38. 1-3h 1-3d 1-3w 1-3m 1-3q 1-3y 1-3decades Sense Respond Messy Middle
  • 39. Map work along a time horizon. Nest related work
  • 42. Build
 Measure Learn 
 Modulate generates new opportunities discover & target opportunities Where should we intervene to learn/create value? intervene Let’s try this... make (some) sense of the system how is value created, stored, transferred? diverge converge diverge converge Observe Orient Decide Act diverge converge Betting on what we understand... Betting on where we focus... Betting on how we respond... generates new opportunities etc learn more 
 about system alters system 1 2 3 Build
 Measure Learn 
 Modulate
  • 43. Catalog language in use. Try subtle changes.
  • 44. Designing the work taxonomy… 5
  • 45. What must you eventually know about this work to make good decisions at the right cadence?
  • 46. How does work appear in these queues? How often? With advance notice? Who puts work in these queues? Dependencies on other groups Deadline? (real or not) Cost of being late (or not delivering feature) Size of effort Expect impact of item Ability to measure impact (and time) Data on existing usage Who is advocate? Who are stakeholders? What is solution certainty? (range) What is problem uncertainty? Impacting current customers? Type of design work Core improvements New feature development Bandaids/fixes Skills/functions required Customer visibility Collaboration model (e.g. contractor teams) Urgency (P0, P1, P2) Assumptions / beliefs Learning goal? Permanence? Risks willing to incur Needed / caused by / blocked by tech debt Background / prior story / veracity of data Headwinds / blockers Connected to core strategy? Reactive vs proactive Tech used Org visibility PIA factor / fun factor Do not disturb - focus required Solve tech debt / add new tech debt When do you need to know the info? Who needs to be around? Tags V1 Vs.
  • 47. “Got it! So we will have a PRD template that EVERYONE needs to fill in, and review it at each and every handoff?”
 
 Instead consider…
  • 48. Try a “flexible design a one-pager” exercise (or one-pager checklist)
  • 49. Letter to the future… 6
  • 51. A safe decision review.
  • 52. Big maps of systems… 7
  • 53.
  • 56. 3-9mo1-3y Mid/Long Term Value North Star Input Input Input Health Indicators Level 1 BetsLevel 0 Bets Value Creation Model Beliefs, Assumptions, Strategy
  • 57. Weekly Learning Users (WLUs) # of Weekly Users who are active and share a learning that is consumed by at least 2 other people in the previous 7 days. Activated Accounts Organizations that have reached at least 5 WLUs. Broadcasted Learning (BL) A chart, dashboard, or Notebook consumed by 2 or more people within a 7 day period. Consumption of Learnings (CoL) Total reach of BL in an organization within a 7 day period.
  • 59. Layering in interventions and OKRs… 8B
  • 60. 3-9mo1-3y Mid/Long Term Value North Star Input Input Input Health Indicators Level 1 BetsLevel 0 Bets Value Creation Model Beliefs, Assumptions, Strategy Target Input(s) Level 2 Bets 1-3mo
  • 61. 3-9mo1-3y Mid/Long Term Value North Star Input Input Input Health Indicators Level 1 BetsLevel 0 Bets Value Creation Model Beliefs, Assumptions, Strategy Target Input(s) Level 2 Bets 1-3mo OKRs Forecasted impact on input
  • 62. Map work to Inputs.
  • 63. A big, visual, hybrid board… 8C
  • 64. Level 2 Bet Target Input(s) Level 3 Bet Focus On
 Next To Try Trying Review ReviewFocusing To Try Trying Review To Try Trying Review Team A Team B Team C 1-3mo 1-3w OKRs Impact 
 on
 Input 3-9mo1-3y Mid/Long Term Value North Star Input Input Input Health Indicators Level 1 BetsLevel 0 Bets Value Creation Model Beliefs, Assumptions, Strategy 3mo Observe continuously, revisit periodically
  • 65.
  • 66. North Star
 
 1-3 year bets Inputs Focusing Trying Review
  • 67. Get out that tape. Get those magnets.
  • 69. Watch the video with slide synchronization on InfoQ.com! https://www.infoq.com/presentations/ bets-boards-missions-agile/