SlideShare a Scribd company logo
Building the Right Product Using
Experiment-Driven Development
!1
Mike Hall
Senior Agile Coach/Trainer
@MikeH_agile
mike.hall@agilevelocity.com
www.agilevelocity.com
Accelerate Agility
Transformation | Training | Coaching
2
Predict AccelerateLearnAlign Adapt
Status Quo Chaos &
Resistance Integration&
Practice
New Status Quo
The goal for the transformation
cannot be to do Agile. Understanding
and communicating the business
objectives that will be achieved with
the transformation is a critical first
step.
Through Agile training and
coaching, teams and
leadership are equipped
with new techniques and
an understanding of how
Agile works.
Ownership of processes
are transferred to an
empowered team and a
culture of continuous
improvement is put in
place.
Teams harden these newly
learned practices and
become more disciplined in
order to deliver working
product in a predictable and
iterative manner.
Once the teams become disciplined
and predictable, we can focus on team
and organizational improvements to
optimize across the full delivery cycle
and shorten time to market.
Agile will begin to permeate
throughout the organization and
executive leadership, enabling
empowered teams and adaptive
leadership to respond to ever-
changing market demands as they
have transformed to an
organization with true Agility.
www.AgileVelocity.com
info@agilevelocity.com
@agile_velocity
!3
What if we found ourselves
building something that
nobody wanted?
In that case, what did it
matter if we did it on
time, on budget, and with
high quality?
!4
Has this ever happened to you?
Let’s celebrate our failures! ???
!5
$200M SW/HW development investment, 12 months.
Result: $0 revenues.
Experiment-Driven Development (EDD)
!6
How long is the
Release cycle? (From
Concept to
Customer)
How many features
are released
together?
How is success
determined?
Your
Product
Today
Your Reality
3
!7
!8
Nordstrom Video
Debrief Video Impact?
How long is the
Release cycle? (From
Concept to
Customer)
How many features
are released
together?
How is success
determined?
Your
Product
Today
3
!9
Activity:
Huddle up in pairs or 3s.
Discuss what was
different in this
approach vs. your
current project/product.
!10
3
Debrief - Potential Differences:
!11
“Never work on
things that are
not valued by the
customer!”
Develop a short list of product hypotheses:
• Consider “baked-in” assumptions
• Define testable hypotheses from assumptions
• Prioritize these hypotheses - based on potential learnings
EDD Step 1: Start With a Product Hypotheses
!12
Types of hypotheses:
• Customer
• Problem
• Solution
• Value
• Growth
Product Hypothesis - Examples
!13
Growth hypothesis:
“An in-store available iPad app will increase sunglass sales by 20%.”
Problem hypothesis:
“Potential customers have no obvious way to compare different
versions of sunglasses other than sequential looks in a mirror.”
Value hypothesis:
“Allowing the customer to ‘compare’ themselves side-by-side in
different sunglasses will enhance their overall satisfaction at our
sunglass station by 40%.”
Solution hypothesis:
“When offered, more than 50% of potential customers will choose
to use an iPad app to make it easier to try on sunglasses.”
Activity:
Using an index card,
write out a testable
hypothesis for a
product you are
currently working on
(or recent one).
• Hint: consider your
baked-in assumptions!
Identify type as
customer, problem,
solution, value, or
growth type.
!14
3 3
Share with a new friend
from another table you
have not met yet!
EDD Step 2: Identify Experiments
!15
Take your highest priority Hypothesis and define the smallest experiment that
will prove or disprove it.
Examples:
• Hypothesis: An in-store available iPad app will increase sunglass sales by 20%.
Experiment 1: Develop a basic iPad app that allows customer to compare
what they look like with various sunglasses.
Experiment 2: Roll out to 10 stores only, measure sales impact.
• Hypothesis: Side-by-Side is a better comparison technique than multi-pic.
Experiment 1: Create a multi-layout technique showing up to 6 different
pics in the main view
Experiment 2: Demo both approaches (side-by-side and multi-view) to at
least 100 customers. Measure preference %.
Activity:
On the back of your index
card, write 2 - 3
experiments for your
product hypothesis.
!16
3 3
Share your product hypothesis
and experiments with a
different new friend.
Experiment Backlogs
• Similar to Scrum product backlog
• But is learning-based prioritization
!17
• List of all experiments 1..n
Work items, mocks, research, etc.
• Tagged with Hypothesis description
Nielsen DCAPI project - Learning Map
MVP 1
Hypotheses
Experiments
!18
MVP 2
Build
Experiments Measure
Learn
MVPe
19
EDD Step 3: Run Experiments
Experiments - Validated Learnings
• Build out the MVP
• Measure progress based on validated learning from end user!
• Use modified storyboard showing Validated column
To Do In Work Done Validated
EXP-1
EXP-2
EXP-3
EXP-4
EXP-5
!20
Experiment Test Iteration (ETI)
Scrum: fixed iteration length
ETI: variable iteration length
ETI 1
3 days
ETI 2
5 days
ETI 3
9 days
ETI 4
17 days
ETI 5
6 days
ETI 6
7 days
MVP1 MVP2 MVP3 MVP4 MVP5 MVP6
1 2 3 4 1 2 3 4 1 2 3 4 1 2 3 4 1 2 3 4 1 2 3 4
Sprint 1
Weeks
Sprint 2
Weeks
Sprint 3
Weeks
Sprint 4
Weeks
Sprint 5
Weeks
Sprint n
Weeks
!21
ETI Review
• Dev team demos their working
software
• Team discusses validated
learnings with stakeholders
• Decision: Pivot/Persevere/Quit
!22
• Plus:
- How is the team feeling about the
baked-in assumptions?
- Are there any assumptions not
previously considered?
SIMULATION
!23
Hypothesis:
“A tower made of spaghetti, string, tape,
and a single marshmallow on top can be
made to stand over 28 inches tall.”
20 Sticks
of Spaghetti
1 Yard
of Tape
1 Yard
of String
1 Marshmallow
Supplies
• Tower must be free-standing (no support other than floor/table base)
• Tower must remain standing indefinitely
• Marshmallow must be on top and remain intact
• 18 minutes total - run multiple BML loops
• Highest measurement from base to top wins!
Rules
!24
Activity:
Using post-it notes,
identify 3 - 5 Experiments
to try, 1 per post-it note.
Order the Experiment
cards based on potential
learnings.
!25
5
18-minute timeframe
begins when instructor
says “Ready/Set/Go”.
Build/Measure/Learn
loops: adjust the
experiments as you
go, pivot/persevere.
Debrief
!26
Observations?
How did you use your validated learnings?
Did your Experiments Backlog change as you executed the iterations?
Would more planning time have really helped?
Did any team PIVOT to a new hypothesis (different approach, different structure type)?
Ted Talk - Marshmallow Challenge
!27
!28
WRAP
!29
EDD in a Nutshell
Product Hypotheses
Experiments
Build-Measure-Learn Loops
The Right
Product!
We value
• Validated learning over seemingly-reasonable
assumptions
• Data-driven decisions over plausible-sounding
arguments
• Building minimum learning products over additional
features
• The courage to build the right thing over something
that works
A Post-Agile Manifesto
!30
Call to Action!
!31
AGILE VELOCITY
David Hawks
Mike Hall
Reese Schmit
Don’t Miss Other Agile Velocity Speakers
512.298.2835info@agilevelocity.com
Building the Right Product Using Experiment-Driven Development
Mike Hall | Monday 2:30 PM | Room 200 E
Experiment-Driven Development (EDD) is an emerging Agile approach designed to ensure that we always build the right
product. Join us to explore how to create a culture of experimentation within your team
10 Steps to a Successful Enterprise Agile Transformation: The Precipitous Path to Predictability!
Mike Hall | Wednesday 11:00 AM | Room 200 E
Navigate the precipitous path to predictability through 10 tangible steps to a successful enterprise Agile Transformation.
Why Are We Stuck? Getting back To Continuous Improvement
Reese Schmit | Monday 1:00 PM | Room 200 GH
When things are going well, its hard to find motivation to improve. In this session, you will learn the symptoms of a stuck team
and discover tools to get them back on the path of relentless improvement.
The Post Project Era: The Future of Agile
David Hawks | Monday 11:00 AM | Room 200 E
It’s time to shift from a project-driven mindset to a value-driven mindset. David explores how traditional practices slow product
development and what needs to change to support this shift.
Move Beyond User Stories… What’s Next?
David Hawks | Wednesday 9:15 AM | 101 E
The current epic and user story process is stale and needs to go. In this hands-on workshop, you’ll learn a new discovery-
centered model driven by objectives, hypotheses, and experiments.
Give us a business card or your name and email on an
index card, and we will send you the following:
•The slides presented today
•A video on a related topic
•An article on Next Level Agile
Would you like More?
!33
Thank You! !34
mike.hall@agilevelocity.com

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Experiment driven development - global scrum gathering 2018

  • 1. Building the Right Product Using Experiment-Driven Development !1
  • 2. Mike Hall Senior Agile Coach/Trainer @MikeH_agile mike.hall@agilevelocity.com www.agilevelocity.com Accelerate Agility Transformation | Training | Coaching 2
  • 3. Predict AccelerateLearnAlign Adapt Status Quo Chaos & Resistance Integration& Practice New Status Quo The goal for the transformation cannot be to do Agile. Understanding and communicating the business objectives that will be achieved with the transformation is a critical first step. Through Agile training and coaching, teams and leadership are equipped with new techniques and an understanding of how Agile works. Ownership of processes are transferred to an empowered team and a culture of continuous improvement is put in place. Teams harden these newly learned practices and become more disciplined in order to deliver working product in a predictable and iterative manner. Once the teams become disciplined and predictable, we can focus on team and organizational improvements to optimize across the full delivery cycle and shorten time to market. Agile will begin to permeate throughout the organization and executive leadership, enabling empowered teams and adaptive leadership to respond to ever- changing market demands as they have transformed to an organization with true Agility. www.AgileVelocity.com info@agilevelocity.com @agile_velocity !3
  • 4. What if we found ourselves building something that nobody wanted? In that case, what did it matter if we did it on time, on budget, and with high quality? !4 Has this ever happened to you?
  • 5. Let’s celebrate our failures! ??? !5 $200M SW/HW development investment, 12 months. Result: $0 revenues.
  • 7. How long is the Release cycle? (From Concept to Customer) How many features are released together? How is success determined? Your Product Today Your Reality 3 !7
  • 9. Debrief Video Impact? How long is the Release cycle? (From Concept to Customer) How many features are released together? How is success determined? Your Product Today 3 !9
  • 10. Activity: Huddle up in pairs or 3s. Discuss what was different in this approach vs. your current project/product. !10 3
  • 11. Debrief - Potential Differences: !11 “Never work on things that are not valued by the customer!”
  • 12. Develop a short list of product hypotheses: • Consider “baked-in” assumptions • Define testable hypotheses from assumptions • Prioritize these hypotheses - based on potential learnings EDD Step 1: Start With a Product Hypotheses !12 Types of hypotheses: • Customer • Problem • Solution • Value • Growth
  • 13. Product Hypothesis - Examples !13 Growth hypothesis: “An in-store available iPad app will increase sunglass sales by 20%.” Problem hypothesis: “Potential customers have no obvious way to compare different versions of sunglasses other than sequential looks in a mirror.” Value hypothesis: “Allowing the customer to ‘compare’ themselves side-by-side in different sunglasses will enhance their overall satisfaction at our sunglass station by 40%.” Solution hypothesis: “When offered, more than 50% of potential customers will choose to use an iPad app to make it easier to try on sunglasses.”
  • 14. Activity: Using an index card, write out a testable hypothesis for a product you are currently working on (or recent one). • Hint: consider your baked-in assumptions! Identify type as customer, problem, solution, value, or growth type. !14 3 3 Share with a new friend from another table you have not met yet!
  • 15. EDD Step 2: Identify Experiments !15 Take your highest priority Hypothesis and define the smallest experiment that will prove or disprove it. Examples: • Hypothesis: An in-store available iPad app will increase sunglass sales by 20%. Experiment 1: Develop a basic iPad app that allows customer to compare what they look like with various sunglasses. Experiment 2: Roll out to 10 stores only, measure sales impact. • Hypothesis: Side-by-Side is a better comparison technique than multi-pic. Experiment 1: Create a multi-layout technique showing up to 6 different pics in the main view Experiment 2: Demo both approaches (side-by-side and multi-view) to at least 100 customers. Measure preference %.
  • 16. Activity: On the back of your index card, write 2 - 3 experiments for your product hypothesis. !16 3 3 Share your product hypothesis and experiments with a different new friend.
  • 17. Experiment Backlogs • Similar to Scrum product backlog • But is learning-based prioritization !17 • List of all experiments 1..n Work items, mocks, research, etc. • Tagged with Hypothesis description
  • 18. Nielsen DCAPI project - Learning Map MVP 1 Hypotheses Experiments !18 MVP 2
  • 20. Experiments - Validated Learnings • Build out the MVP • Measure progress based on validated learning from end user! • Use modified storyboard showing Validated column To Do In Work Done Validated EXP-1 EXP-2 EXP-3 EXP-4 EXP-5 !20
  • 21. Experiment Test Iteration (ETI) Scrum: fixed iteration length ETI: variable iteration length ETI 1 3 days ETI 2 5 days ETI 3 9 days ETI 4 17 days ETI 5 6 days ETI 6 7 days MVP1 MVP2 MVP3 MVP4 MVP5 MVP6 1 2 3 4 1 2 3 4 1 2 3 4 1 2 3 4 1 2 3 4 1 2 3 4 Sprint 1 Weeks Sprint 2 Weeks Sprint 3 Weeks Sprint 4 Weeks Sprint 5 Weeks Sprint n Weeks !21
  • 22. ETI Review • Dev team demos their working software • Team discusses validated learnings with stakeholders • Decision: Pivot/Persevere/Quit !22 • Plus: - How is the team feeling about the baked-in assumptions? - Are there any assumptions not previously considered?
  • 24. Hypothesis: “A tower made of spaghetti, string, tape, and a single marshmallow on top can be made to stand over 28 inches tall.” 20 Sticks of Spaghetti 1 Yard of Tape 1 Yard of String 1 Marshmallow Supplies • Tower must be free-standing (no support other than floor/table base) • Tower must remain standing indefinitely • Marshmallow must be on top and remain intact • 18 minutes total - run multiple BML loops • Highest measurement from base to top wins! Rules !24
  • 25. Activity: Using post-it notes, identify 3 - 5 Experiments to try, 1 per post-it note. Order the Experiment cards based on potential learnings. !25 5 18-minute timeframe begins when instructor says “Ready/Set/Go”. Build/Measure/Learn loops: adjust the experiments as you go, pivot/persevere.
  • 26. Debrief !26 Observations? How did you use your validated learnings? Did your Experiments Backlog change as you executed the iterations? Would more planning time have really helped? Did any team PIVOT to a new hypothesis (different approach, different structure type)?
  • 27. Ted Talk - Marshmallow Challenge !27
  • 29. !29 EDD in a Nutshell Product Hypotheses Experiments Build-Measure-Learn Loops The Right Product!
  • 30. We value • Validated learning over seemingly-reasonable assumptions • Data-driven decisions over plausible-sounding arguments • Building minimum learning products over additional features • The courage to build the right thing over something that works A Post-Agile Manifesto !30
  • 32. AGILE VELOCITY David Hawks Mike Hall Reese Schmit Don’t Miss Other Agile Velocity Speakers 512.298.2835info@agilevelocity.com Building the Right Product Using Experiment-Driven Development Mike Hall | Monday 2:30 PM | Room 200 E Experiment-Driven Development (EDD) is an emerging Agile approach designed to ensure that we always build the right product. Join us to explore how to create a culture of experimentation within your team 10 Steps to a Successful Enterprise Agile Transformation: The Precipitous Path to Predictability! Mike Hall | Wednesday 11:00 AM | Room 200 E Navigate the precipitous path to predictability through 10 tangible steps to a successful enterprise Agile Transformation. Why Are We Stuck? Getting back To Continuous Improvement Reese Schmit | Monday 1:00 PM | Room 200 GH When things are going well, its hard to find motivation to improve. In this session, you will learn the symptoms of a stuck team and discover tools to get them back on the path of relentless improvement. The Post Project Era: The Future of Agile David Hawks | Monday 11:00 AM | Room 200 E It’s time to shift from a project-driven mindset to a value-driven mindset. David explores how traditional practices slow product development and what needs to change to support this shift. Move Beyond User Stories… What’s Next? David Hawks | Wednesday 9:15 AM | 101 E The current epic and user story process is stale and needs to go. In this hands-on workshop, you’ll learn a new discovery- centered model driven by objectives, hypotheses, and experiments.
  • 33. Give us a business card or your name and email on an index card, and we will send you the following: •The slides presented today •A video on a related topic •An article on Next Level Agile Would you like More? !33