How to defeat feature gluttony?

2. How to defeat
feature gluttony

3. www.mrowcakasia.eu kasia@mrowca.co.uk

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

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

8. How feature gluttony
affects product?

11. Number of features
Complexity

12. Number of features
Happinessoftheuser
Happy user

13. Number of features
Happinessoftheuser
Now I can’t find
anything!

14. How feature gluttony
affects backlog?

15. Problem 1: Road map

16. Problem 1: Road map
commitment

17. Problem 2: Backlog

18. Problem 2: Backlog size

20. Problem 3: priorities

22. Problem 4: documentation

23. Source: http://geek-and-poke.com/

24. Number of features
Complexity
Number of features
Happinessoftheuser
Now I can’t find anything!

25. Number of features
Complexity
Number of features
Happinessoftheuser
Now I can’t find anything!

26. Clean up!

27. Estimates…

28. … how about using story
points?

29. high estimate as a way to
scare the customer

30. high estimate as a way to
scare the customer
MISTAKE!

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. 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

35. Clean up! Do it right!

36. How to start?

37. Road map: vision ahead!

38. Product tree

39. categories
(moduls)
featuresfurure
Method source: Innovation games

40. Love vs ROI

41. Love vs ROI

42. Love vs ROI

46. Metrics

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. ok, how about… deleting?

62. Uncertainty causes fear

63. Uncertainty causes fear
…use automatic tests!

64. Wrap up

65. Number of features
Complexity
Number of features
Happinessoftheuser
Now I can’t find anything!

68. ∞ ÷ 2 ≈ ∞

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

70. questions

71. www.mrowcakasia.eu
kasia@mrowca.co.uk