Model storming - a different approach to collaborative model discovery (Vilnius edition)

1. avanscoperta Model Storming A diﬀerent approach to collaborative model discovery @ziobrando #buildstuﬄt #modelstorming #eventstorming

2. About me About me @ziobrando @ziobrando ! I do something else instead avanscoperta

3. About me About me @ziobrando DDD enthusiast @ziobrando ! I do something else instead avanscoperta

4. About me About me @ziobrando DDD enthusiast @ziobrando Post-it addicted ! I do something else instead avanscoperta

5. About me About me @ziobrando DDD enthusiast @ziobrando Post-it addicted Visual something else instead I do thinker ! avanscoperta

6. About me About me @ziobrando DDD enthusiast @ziobrando Post-it addicted Visual something else instead I do thinker Chaos summoner ! avanscoperta

7. About me About me @ziobrando DDD enthusiast @ziobrando Post-it addicted Visual something else instead I do thinker Chaos summoner Idea thief ! avanscoperta

8. About me About me @ziobrando DDD enthusiast @ziobrando Post-it addicted Visual something else instead I do thinker Chaos summoner Idea thief …never satisﬁed avanscoperta !

9. Part 1: My insanely ambitious starting point

10. Typical enterprise architecture is ﬂawed

11. pl i Ap io n c at Ap pl i D at a ba se ca io n n t ca io io n i pl at c at Ap l ic pl i pp Ap A pp A tio on ti ca li pl i Ap io n at c n l ic pp A on ti a D at a ba se Typical enterprise architecture is ﬂawed © Alberto Brandolini 2013

12. Too much coupling

13. patches don’t help

14. Some folks call this a “model”

15. So you want to speak the “Ubiquitous Language”, you scumbag? © Alberto Brandolini 2009 011

16. So you want to speak the “Ubiquitous Language”, you scumbag? The only ubiquitous language is SQL! Every Database speaks it! © Alberto Brandolini 2009 011

17. Managing conﬂicting requirements is always a pleasure © Alberto Brandolini 2013

18. So we have trade offs © Alberto Brandolini 2013

19. © Alberto Brandolini 2013

20. When will we start refactoring? © Alberto Brandolini 2013

21. When will we start refactoring? Mañana!! © Alberto Brandolini 2013

22. Problem checklist Typical enterprise software architecture is ﬂawed Data driven No bounded contexts Conﬂicting requirements lead to trade-off solutions that ultimately clog our system The ever needed refactoring is always scheduled for the next week

23. Principle #1 The fastest way to remove crap from your system is… © Alberto Brandolini 2013

24. To put NO CRAP into your system

25. Paratroopers © Alberto Brandolini 2013

26. Paratroopers Move towards the taleban area © Alberto Brandolini 2013

27. Paratroopers Move towards the taleban area But this is Arizona… © Alberto Brandolini 2013

28. Paratroopers Move towards the taleban area Let’s iterate! But this is Arizona… © Alberto Brandolini 2013

29. There’s nothing wrong with “embrace change”, but…

30. The starting point matters

31. Ignorance is the single greatest impediment to throughput. Dan North http://dannorth.net/2010/08/30/introducing-deliberate-discovery/

32. Learning is the constraint Dan North http://dannorth.net/2010/08/30/introducing-deliberate-discovery/

33. Coding 20cl, learning 20cl, deciding 20cl, waiting...

34. When doing DDD...

35. Software development is a learning process Working code is a side eﬀect

36. Can we accelerate learning?

37. Part 2: Teach a man to ﬁsh

38. Why don’t you put all of them in the same room? A simple solution Put

39. A simple solution Put all the key stakeholders in the same room and sketch a model together © Alberto Brandolini 2013

40. That will never work

41. Reasons why this is a bad idea

42. Reasons why this is a bad idea Too expensive to get all the key people in the same room at the same time

43. Reasons why this is a bad idea Too expensive to get all the key people in the same room at the same time The meeting will be totally non productive

44. Reasons why this is a bad idea Too expensive to get all the key people in the same room at the same time The meeting will be totally non productive Disagreement will turn into a ﬁght

45. Reasons why this is a bad idea Too expensive to get all the key people in the same room at the same time The meeting will be totally non productive Disagreement will turn into a ﬁght The meeting will be boring

46. Reasons why this is a bad idea Too expensive to get all the key people in the same room at the same time The meeting will be totally non productive Disagreement will turn into a ﬁght The meeting will be boring They won’t come again

47. Reasons why this is a bad idea Too expensive to get all the key people in the same room at the same time The meeting will be totally non productive Disagreement will turn into a ﬁght The meeting will be boring They won’t come again They’ll blame me

48. Solution #1

49. 1. Designate a scapegoat 2. Let him call the meeting © Alberto Brandolini 2009

50. Solution #2 Break some assumptions

51. Implicit assumptions

52. Implicit assumptions The meeting will happen around a table

53. Implicit assumptions The meeting will happen around a table When one person speaks many will be bored

54. Implicit assumptions The meeting will happen around a table When one person speaks many will be bored When many person speak nobody will understand

55. Implicit assumptions The meeting will happen around a table When one person speaks many will be bored When many person speak nobody will understand We’ll talk about technical things

56. Implicit assumptions The meeting will happen around a table When one person speaks many will be bored When many person speak nobody will understand We’ll talk about technical things I’ll have to bring my smartphone with me

57. That’s how I run meetings

58. The challenge Can we run a meeting worth more than the hourly cost of the participants? © Alberto Brandolini 2013

59. Event Storming!

61. Yes, I mean that much space...

62. My best friend © Alberto Brandolini 2013

63. And… no table.

64. It’s no fun to just watch others play

65. Events are precise

66. Event are meaningful

67. We’re getting to the aggregates outside-in

68. Observe people

69. Observe people © Alberto Brandolini 2013

70. Observe people help those who are not participating © Alberto Brandolini 2013

71. Observe people help those who are not participating remove impediments and bottlenecks © Alberto Brandolini 2013

72. Observe people help those who are not participating remove impediments and bottlenecks Spot the ones who don’t belong here © Alberto Brandolini 2013

73. Observe people help those who are not participating remove impediments and bottlenecks Spot the ones who don’t belong here Spot the ones that care © Alberto Brandolini 2013

74. Observe people help those who are not participating remove impediments and bottlenecks Spot the ones who don’t belong here Spot the ones that care Manage conﬂicts © Alberto Brandolini 2013

75. I love conﬂicts here… © Alberto Brandolini 2013

77. Or we can simply put a RED Marker © Alberto Brandolini 2009

78. There’s nothing wrong in learning stuﬀ faster

79. This summer…

80. A little community Started experimenting © Alberto Brandolini 2013

81. A little community Started experimenting @mathiasverraes © Alberto Brandolini 2013

82. A little community Started experimenting @mathiasverraes @heimeshoﬀ © Alberto Brandolini 2013

83. A little community Started experimenting @mathiasverraes @heimeshoﬀ @andreabalducci © Alberto Brandolini 2013

84. A little community Started experimenting @mathiasverraes @heimeshoﬀ @andreabalducci @tojans © Alberto Brandolini 2013

85. A little community Started experimenting @mathiasverraes @heimeshoﬀ @tjaskula @andreabalducci @tojans © Alberto Brandolini 2013

86. A little community Started experimenting @mathiasverraes @heimeshoﬀ @tjaskula @andreabalducci @tojans @yreynhout © Alberto Brandolini 2013

87. A little community Started experimenting @mathiasverraes @heimeshoﬀ @tjaskula @andreabalducci @tojans @yreynhout @alessandrocolla © Alberto Brandolini 2013

88. A little community Started experimenting @mathiasverraes @heimeshoﬀ @tjaskula @andreabalducci @tojans @yreynhout @jefclaes @alessandrocolla © Alberto Brandolini 2013

89. A little community Started experimenting @mathiasverraes @heimeshoﬀ @tjaskula @andreabalducci @tojans @yreynhout @jefclaes @alessandrocolla @lorenzomassacci © Alberto Brandolini 2013

90. A little community Started experimenting @mathiasverraes @heimeshoﬀ @tjaskula @andreabalducci @sleli @tojans @yreynhout @jefclaes @alessandrocolla @lorenzomassacci © Alberto Brandolini 2013

91. And the experiments worked! © Alberto Brandolini 2013

92. And the experiments worked! “This is awesome!” © Alberto Brandolini 2013

93. And the experiments worked! “This is awesome!” “For the ﬁrst time, developers started asking the right questions!” © Alberto Brandolini 2013

94. And the experiments worked! “This is awesome!” “For the ﬁrst time, developers started asking the right questions!” “We turned the model into implementation on the same afternoon” © Alberto Brandolini 2013

95. And the experiments triggered new ideas © Alberto Brandolini 2013

96. And the experiments triggered new ideas “Let’s use it to set up our Kanban board!” © Alberto Brandolini 2013

97. And the experiments triggered new ideas “Let’s use it to set up our Kanban board!” “is there a UX version of the workshop?” © Alberto Brandolini 2013

98. And the experiments triggered new ideas “Let’s use it to set up our Kanban board!” “is there a UX version of the workshop?” “How can we use this to steer implementation?” © Alberto Brandolini 2013

99. And the experiments triggered new ideas “Let’s use it to set up our Kanban board!” “We used a diﬀerent “is there a UX version set of rules” of the workshop?” “How can we use this to steer implementation?” © Alberto Brandolini 2013

102. Part 4: Model Storming or Meta ﬁshing

103. I know, Part 3 is missing…

104. Why does this work?

105. My secret weapon?

106. My secret weapon?

107. What is Model Storming? © Alberto Brandolini 2013

108. What is Model Storming? Unlimited Modeling Space © Alberto Brandolini 2013

109. What is Model Storming? Unlimited Modeling Space Iterative notation © Alberto Brandolini 2013

110. What is Model Storming? Unlimited Modeling Space Iterative notation Simple Gaming Rules © Alberto Brandolini 2013

111. What is Model Storming? Unlimited Modeling Space Iterative notation Simple Gaming Rules Active Collaboration © Alberto Brandolini 2013

112. What is Model Storming? Unlimited Modeling Space Iterative notation Simple Gaming Rules Active Collaboration Addressing Complexity © Alberto Brandolini 2013

113. What is Model Storming? Unlimited Modeling Space Iterative notation Simple Gaming Rules Active Collaboration Addressing Complexity Everything is visible © Alberto Brandolini 2013

114. What is Model Storming? Unlimited Modeling Space Iterative notation Simple Gaming Rules Active Collaboration Addressing Complexity Everything is visible Supporting divergence © Alberto Brandolini 2013

115. What is Model Storming? Unlimited Modeling Space Iterative notation Simple Gaming Rules Active Collaboration Addressing Complexity Everything is visible Supporting divergence Decide later © Alberto Brandolini 2013

116. Unlimited Modeling Space My problem is... © Alberto Brandolini 2013

117. Unlimited Modeling Space My problem is... BIGGER © Alberto Brandolini 2013

118. You know why people call it “the big picture?”

119. Conquer ﬁrst Divide later

120. Guerrilla modeling © Alberto Brandolini 2013

122. Unlimited surface © Alberto Brandolini 2013

123. Unlimited surface You don’t know the size of the problem before exploring it © Alberto Brandolini 2013

124. Iterative notation © Alberto Brandolini 2013

125. Iterative notation Choose one signiﬁcant aspect © Alberto Brandolini 2013

126. Iterative notation Choose one signiﬁcant aspect Find the simplest possible notation to represent it © Alberto Brandolini 2013

127. Iterative notation Choose one signiﬁcant aspect Find the simplest possible notation to represent it Choose the next aspect to model © Alberto Brandolini 2013

128. Active Collaboration All participant should actively contribute © Alberto Brandolini 2013

129. One Man One Marker © Alberto Brandolini 2013

131. Tell us whatever you want © Alberto Brandolini 2013

132. Gamiﬁcation!

134. Our brain... http://www.wpclipart.com/medical/anatomy/brain/four_lobes_of_the_cerebral_cortex.png.html

135. System 1

136. System 1 Quick pattern matching

137. System 1 Quick pattern matching Parallel processing, unaware mode

138. System 1 Quick pattern matching Parallel processing, unaware mode Low energy consumption

139. System 1 Quick pattern matching Parallel processing, unaware mode Low energy consumption System 2

140. System 1 Quick pattern matching Parallel processing, unaware mode Low energy consumption System 2 Complex elaboration that need attention and concentration

141. System 1 Quick pattern matching Parallel processing, unaware mode Low energy consumption System 2 Complex elaboration that need attention and concentration No parallelism

142. System 1 Quick pattern matching Parallel processing, unaware mode Low energy consumption System 2 Complex elaboration that need attention and concentration No parallelism High energy consumption

143. Maybe there’s a reason for that

144. Let’s examine carefully every possibility

145. System 1 Quick pattern matching Parallel processing, unaware mode Low energy consumption System 2 Complex elaboration that need attention and concentration No parallelism High energy consumption

146. System 1 Quick pattern matching Parallel processing, unaware mode Low energy consumption System 2 Complex elaboration that need attention and concentration No parallelism High energy consumption It’s the same class!

147. System 1 Quick pattern matching It’s the same class! Parallel processing, unaware mode Low energy consumption System 2 Complex elaboration that need attention and concentration No parallelism High energy consumption It’s obvious!

148. System 1 Quick pattern matching It’s the same class! Parallel processing, unaware mode Low energy consumption System 2 Complex elaboration that need attention and concentration No parallelism High energy consumption It’s obvious! Let’s consider Bounded Contexts

149. System 1 Quick pattern matching It’s the same class! Parallel processing, unaware mode Low energy consumption System 2 Complex elaboration that need attention and concentration No parallelism High energy consumption It’s obvious! Let’s consider Bounded Contexts Let’s see the whole

153. Our brain Quick in pattern matching (and unaware of it) Provides inferior solutions under pressure © Alberto Brandolini 2013

154. Our brain Quick in pattern matching (and unaware of it) Provides inferior solutions under pressure Tries to avoid complexity © Alberto Brandolini 2013

155. Our brain Quick in pattern matching (and unaware of it) Provides inferior solutions under pressure Tries to avoid complexity Gets hooked by games © Alberto Brandolini 2013

161. Icebreakers needed

163. Embrace Fuzzyness (temporarily)

164. It will compile

165. I promise

167. Addressing Complexity Data ﬁrst, structure later…

168. Everybody is partitioning the system

169. I just like taking a detour ﬁrst...

170. Visual representation UML is too complex to support a meaningful conversation! ! Whiteboards won’t compile anyway © Alberto Brandolini 2013

174. Visualize everything Legend and Notation Requirements and solution Solutions Disagreement Context ... © Alberto Brandolini 2013

175. Keep the cognitive load small

176. Design the workshop User Experience

179. Short timeboxes throwaway code ...more ;-) coderetreat.org

180. coderetreat.org

188. Can we tweak it?

189. Modellathlon!

190. Human beings are the best device ever…

191. …to detect somebody else’s mistakes

193. Your colleague becomes the enemy

194. Negotiating implicit meaning Blah, blah, blah... ...And obviously, blah, blah... Blah, blah, blah... Ouch, he didn’t mention wah, wah... © Alberto Brandolini 2013

195. A tangible artifact becomes the enemy

196. Your colleague becomes your ally

198. Those are learning cycles

199. Watching the ceiling is forbidden!

200. Scope?

201. Complex problems

202. Event Storming expected outcome steered towards a canonical model partially deﬁned steps model aﬃnity given problem type © Alberto Brandolini 2013

203. Model storming unpredictable outcome no canonical model notation incremente iteratively ! no predeﬁned problem type © Alberto Brandolini 2013

206. Some problems are resistant to antibiotics

207. It’s a fun job and somebody’s gotta do it

208. Let’s go ﬁshing!

209. avanscoperta Grazie! @ziobrando ! http://ziobrando.blogspot.com/2013/11/introducing-event-storming.html http://www.avanscoperta.it

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