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How to defeat feature gluttony Gluttony Source:

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Presentation on theme: "How to defeat feature gluttony Gluttony Source:"— Presentation transcript:

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2 How to defeat feature gluttony

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

5 Source: http://9gag.com/

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8 How feature gluttony affects product?

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11 Number of features Complexity

12 Number of features Happiness of the user Happy user

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

14 „Product” gluttony Too many features Problem with UX Increased complexity Code maintenance

15 How feature gluttony affects backlog?

16 Problem 1: Road map

17 commitment

18 Problem 2: Backlog

19 Problem 2: Backlog size

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21 Problem 3: priorities

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

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

25 Clean up!

26 Estimates…

27 … how about using story points?

28 high estimate as a way to scare the customer

29 MISTAKE!

30 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

31 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

32 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

33 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

34 Wrong ways of NO Estimates Do on your own De-scoping

35 Clean up! Do it right!

36 How to start?

37 Road map: vision ahead!

38 Product tree

39 categories (moduls) features furure Method source: Innovation games

40 Love vs ROI

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46 Metrics

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50 ∞ ÷ 2 ≈ ∞

51 if you must use estimates

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

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

54 estimation methods Story Points User Story A 21

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

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

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

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

59 add recommendation!

60 Wrap up

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

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64 ∞ ÷ 2 ≈ ∞

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

66 questions


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