product centric delivery teams

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PRODUCT-CENTRIC DELIVERY TEAMS DELIVER ON VALUE NOT DATES

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Page 1: Product Centric Delivery Teams

PRODUCT-CENTRIC DELIVERY TEAMSDELIVER ON VALUE NOT DATES

Page 2: Product Centric Delivery Teams

TEAM PROCESS

2

Page 3: Product Centric Delivery Teams

PRODUCT TEAM PROCESS

BACKLOGGOAL

Research

OpportunityHypothesis

Opportunity Opportunity

G

O O O

##Metric

##Metric

M##

M##

Research Research

Hypothesis Hypothesis

DESIGN

DEVELOP

TEST

RELEASE

W E EK S

TWO

DEFINE IDEATE DEVELOP

Page 4: Product Centric Delivery Teams

GOAL

Opportunity Opportunity Opportunity

##Metric

##Metric

DEFINE _ The team will align their understanding with leadership’s business goals.

_ We will select metrics whose performance can be tracked as quantifiable outcomes—revenue, conversion rate, etc.

_ Next, we’ll analyze the performance of customer behavior specific to product discovery—search, navigation, refinement—and identify opportunities of value to explore.

_ Our analysis won’t just include current reporting, but also user interviews, observation, and peer-research.

PRODUCT TEAM PROCESS

Page 5: Product Centric Delivery Teams

Research

Hypothesis

G

O O O

M##

M##

Research Research

Hypothesis Hypothesis

IDEATE _ From the identified opportunities, the team will research potential avenues to leverage value.

_ Through the research, discussion, and collaborative design, we will have produced a set of promising hypothesis for experimentation.

_ The hypothesis will be prioritized by it’s potential impact and assumed effort—our aim being to build for highest value at lowest cost.

_ Not all hypothesis will be proven by development and release—some might be tested as rapid prototypes, surveys, even interviews with users.

_ Together, our Goals, Metrics, Opportunities, Research, and Hypothesis make up our Product Backlog

PRODUCT TEAM PROCESS

Page 6: Product Centric Delivery Teams

DEVELOP _ Hypothesis prioritized highest will move into development, placed into our team’s Development Backlog organized by epics—themes defined as desired outcomes

_ A cross-functional group, led by UX, will collaboratively design the implementation—ensuring clarity of technical delivery, testability, business + user validation, and measurable feedback to determine proof of the hypothesis after release.

_ A Hypothesis should be small enough to prove value in a short time frame, simply understood in terms of development, and capable of moving through the four stages within a two-week sprint.

BACKLOG

DESIGN

DEVELOP

TEST

RELEASE

W E EK S

TWO

_ Feedback from users and reporting are brought as learning back into the

PRODUCT TEAM PROCESS

Page 7: Product Centric Delivery Teams

THE PRODUCT TEAM

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Page 8: Product Centric Delivery Teams

ENABLED

8

_ Small, autonomous, dedicated, collaborative team

_ Soup to nuts—include Data/ETLs/MerchOps tools

_ EVERYONE is a Product Owner

Page 9: Product Centric Delivery Teams

DATA-DRIVEN

9

_ Success measured on KPIs—Conversion, Relevancy

_ Use analytics to make decisions

_ Feed data back into product—personalization, performance

Page 10: Product Centric Delivery Teams

USER EXPERIENCE @ CORE

10

_ Rely on feedback, A/B experiments

_ Less hi-fi comps, iterate on lo-fi designs

Page 11: Product Centric Delivery Teams

SMALL MVP

11

_ Start with a narrow slice of the site—e.g. Type Ahead

_ Low bar to deployment—one browser, small set of users

_ Early initial release—1 month

_ Move into regular sprint-release cadence—2 weeks

Page 12: Product Centric Delivery Teams

STRONG TECHNICAL FOUNDATION

12

_ POC major initiatives vs. direct development

_ Start with public cloud—auto-scaling for ease of operations

_ Simplify tech stack

_ Establish dev + delivery enabling tooling + infrastructure

Page 13: Product Centric Delivery Teams

THE PRODUCT TEAM

13

_ Small, autonomous, dedicated, collaborative team

_ Soup to nuts—include Data/ETLs/MerchOps tools

_ EVERYONE is a Product Owner

ENABLED_ Success measured on KPIs—Conversion, Relevancy

_ Use analytics to make decisions

_ Feed data back into product—personalization, performance

DATA-DRIVEN

_ Rely on feedback, A/B experiments

_ Less hi-fi comps, iterate on lo-fi designs

USER EXPERIENCE @ CORE SMALL MVP_ Start with a narrow slice of the site—e.g. Type Ahead

_ Low bar to deployment—one browser, small set of users

_ Early initial release—1 month

_ Move into regular sprint-release cadence—2 weeksSTRONG TECHNICAL FOUNDATION_ POC major initiatives vs. direct development

_ Public cloud—auto-scaling for ease of operations

_ Simplify tech stack

_ Establish dev + delivery enabling tooling + infra

Page 14: Product Centric Delivery Teams

QUESTIONS?On anything we covered

Page 15: Product Centric Delivery Teams

APPENDIXKey Documents

15

Page 16: Product Centric Delivery Teams

PRODUCT TEAM PROCESS

BACKLOGGOAL

Research

OpportunityHypothesis

Opportunity Opportunity

G

O O O

##Metric

##Metric

M##

M##

Research Research

Hypothesis Hypothesis

DESIGN

DEVELOP

TEST

RELEASE

W E EK S

TWO

DEFINE IDEATE DEVELOP

Page 17: Product Centric Delivery Teams

THE PRODUCT TEAM

17

_ Small, autonomous, dedicated, collaborative team

_ Soup to nuts—include Data/ETLs/MerchOps tools

_ EVERYONE is a Product Owner

ENABLED_ Success measured on KPIs—Conversion, Relevancy

_ Use analytics to make decisions

_ Feed data back into product—personalization, performance

DATA-DRIVEN

_ Rely on feedback, A/B experiments

_ Less hi-fi comps, iterate on lo-fi designs

USER EXPERIENCE @ CORE SMALL MVP_ Start with a narrow slice of the site—e.g. Type Ahead

_ Low bar to deployment—one browser, small set of users

_ Early initial release—1 month

_ Move into regular sprint-release cadence—2 weeksSTRONG TECHNICAL FOUNDATION_ POC major initiatives vs. direct development

_ Public cloud—auto-scaling for ease of operations

_ Simplify tech stack

_ Establish dev + delivery enabling tooling + infra