Startup: An Insider's Guide to Launching and Running a Business (29 page)

marketing,
61

98

business vs. hobby,
65

choosing product,
62

65

climbing mountain,
87

88

if you build it, they will come,
82

83

image counts,
81

82

internet is not magic,
70

73

knowing customer,
80

81

lightning-strike marketing model,
95

96

marketing mix,
90

93

measuring performance,
97

98

never ask water to climb ladder,
85

86

parity products, and bozo factor,
74

79

precious slice,
67

69

and pricing,
93

94

radicalize,
83

84

standing out,
69

70

using statistics,
89

90

whale vs. eskimo analogy,
65

67

positive frame,
147

148

potential,
149

150

ready-fire-aim method,
135

136

systems thinking,
157

161

tension system,
137

143

analysis vs. quick decision-making,
140

141

focus vs. opportunity,
138

139

perfection vs. progress,
141

143

process vs. agility,
139

think big,
151

152

triple constraint,
144

147

quality plus features,
146

quality plus speed plus features,
146

147

speed plus features,
145

speed plus quality,
145

structural differentiation,
77

79

success, determined by team,
100

101

systems thinking,
157

161

T, U

teams,
99

118

best employees for,
101

102
,
110

111

extended team,
113

118

CPA,
116

117

lawyers,
114

116

vendors,
117

118

friends

as employees,
106

108

as partners,
108

110

leading by example,
111

112

managing employees differently,
105

106

motivated employees for,
112

113

psychological contract,
102

105

success determined by,
100

101

tension system,
137

143

analysis vs. quick decision-making,
140

141

focus vs. opportunity,
138

139

perfection vs. progress,
141

143

process vs. agility,
139

thinking big,
151

152

time, impact on personal life,
23

25

triple constraint,
144

147

quality plus features,
146

quality plus speed plus features,
146

147

speed plus features,
145

speed plus quality,
145

V

Valerie example,
122

124

vendors, extended team,
117

118

vision, for entrepreneurs,
17

19

W, X, Y, Z

whale vs. eskimo analogy,
65

67

World Cities Database example,
93

94

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