How to defeature gluttony Gluttony Source http www

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How to defeature gluttony

How to defeature gluttony

Gluttony Source: http: //www. pusheen. com/

Gluttony Source: http: //www. pusheen. com/

Source: http: //9 gag. com/

Source: http: //9 gag. com/

How feature gluttony affects product?

How feature gluttony affects product?

Complexity Number of features

Complexity Number of features

Happiness of the us Happy user Number of features

Happiness of the us Happy user Number of features

Happiness of the us Now I can’t anything! Number of features

Happiness of the us Now I can’t anything! Number of features

How feature gluttony affects backlog?

How feature gluttony affects backlog?

Problem 1: Road map

Problem 1: Road map

Problem 1: Road map commitment

Problem 1: Road map commitment

Problem 2: Backlog

Problem 2: Backlog

Problem 2: Backlog size

Problem 2: Backlog size

Problem 3: priorities

Problem 3: priorities

Complexity Happiness of the user Number of features Now I can’t find anything! Number

Complexity Happiness of the user Number of features Now I can’t find anything! Number of features

Complexity Happiness of the user Number of features Now I can’t find anything! Number

Complexity Happiness of the user Number of features Now I can’t find anything! Number of features

Clean up!

Clean up!

Estimates…

Estimates…

… how about using story points?

… how about using story points?

high estimate as a way to scare the customer

high estimate as a way to scare the customer

high estimate as a way to scare the customer MISTAKE!

high estimate as a way to scare the customer MISTAKE!

why huge estimates are not scary? the customer… … doesn’t understand Story Points …

why huge estimates are not scary? the customer… … doesn’t understand Story Points … is used to big estimates. . . … maps estimates to magic numbers in excel … doesn’t know that this implementation is not beneficial for HIM

why huge estimates are not scary? the customer… … doesn’t understand Story Points …

why huge estimates are not scary? the customer… … doesn’t understand Story Points … is used to big estimates. . . … maps estimates to magic numbers in excel … doesn’t know that this implementation is not beneficial for HIM

why huge estimates are not scary? the customer… … doesn’t understand Story Points …

why huge estimates are not scary? the customer… … doesn’t understand Story Points … is used to big estimates. . . … maps estimates to magic numbers in excel … doesn’t know that this implementation is not beneficial for HIM

why huge estimates are not scary? the customer… … doesn’t understand Story Points …

why huge estimates are not scary? the customer… … doesn’t understand Story Points … is used to big estimates. . . … maps estimates to magic numbers in excel … doesn’t know that this implementation is not beneficial for HIM

Clean up! Do it right!

Clean up! Do it right!

How to start?

How to start?

Road map: vision ahead!

Road map: vision ahead!

Product tree

Product tree

furure feature catego (modu Method source: Inn

furure feature catego (modu Method source: Inn

Love vs ROI

Love vs ROI

Love vs ROI

Love vs ROI

Love vs ROI

Love vs ROI

Metrics

Metrics

if you must use estimates

if you must use estimates

estimation methods • Business Value – (simplifying) how profitable the feature is? • additional

estimation methods • Business Value – (simplifying) how profitable the feature is? • additional estimate of risk

estimation methods • Business Value – (simplifying) how profitable the feature is? • additional

estimation methods • Business Value – (simplifying) how profitable the feature is? • additional estimate of risk

estimation methods User Story A Story Points 21

estimation methods User Story A Story Points 21

estimation methods User Story A Story Points 21 Risk XL Business Value 100

estimation methods User Story A Story Points 21 Risk XL Business Value 100

estimation methods User Story A’ Story Points 21 21 Risk M 90 XL 100

estimation methods User Story A’ Story Points 21 21 Risk M 90 XL 100 Business Value

estimation methods User Story B Story Points 21 Risk L Business Value 20

estimation methods User Story B Story Points 21 Risk L Business Value 20

how present alternatives? • compare variants User Story User A’ Story A Need 1

how present alternatives? • compare variants User Story User A’ Story A Need 1 Need 2 Need 3

add recommendation!

add recommendation!

Wrap up

Wrap up

Complexity Happiness of the user Number of features Now I can’t find anything! Number

Complexity Happiness of the user Number of features Now I can’t find anything! Number of features

∞ 2 ÷ ∞ ≈ User Story A’ Story Points 21 21 Risk M

∞ 2 ÷ ∞ ≈ User Story A’ Story Points 21 21 Risk M 90 XL 100 Business Value

questions

questions