Index
Page references followed by f indicate an illustrated figure; those followed by t indicate a table.
A
- Accenture, 113
- Affirmative Conversations, 35, 40–42
- AI (Appreciative Inquiry)
- conversation benefits of, 2–11, 16–19, 23–24, 95, 149–150
- 5-D Cycle methodology of, 110, 114–133, 133t
- getting started with, 150–152
- See also Conversations Worth Having
- AI-based conversations
- examples and outcomes of, 4–6, 13–23, 36, 145–146, 153–155
- generative questions practice, 62–76, 88–89, 138, 140
- positive framing practice, 62, 76–89, 121–122, 140–141, 143
- See also conversations
- AI interview questions, 122–123, 123t
- “ain’t it awful?” conversations, 159
- AI principles
- 1. Constructionist Principle, 92, 95, 97–100, 101t, 111t, 156
- 2. Simultaneity Principle, 92, 94, 96, 102–103, 102t, 111t, 156
- 3. Poetic Principle, 92, 94, 95, 101t, 103–105, 111t, 156–157
- 4. Anticipatory Principle, 92–93, 94, 95, 101t, 106–108, 111t, 157
- 5. Positive Principle, 93, 94, 95–96, 102t, 108–110, 111t, 140, 157
- Alisha’s story, 13–19, 61–62, 71, 92, 94–96, 110
- Ally’s story, 9–10, 160–163
- Amari, Kamal, 19–23, 36, 62, 76, 146
- Anticipatory Principle, 92–93, 94, 95, 101t, 106–108, 111t, 157
- ANZ Bank of Australia, 114
- Apple, 8
- appreciation/appreciative capacity, 8, 104–105, 138, 163
- appreciative conversations, 31–34, 31f, 33f, 52f, 53–54
B
- Becky’s story, 56
- beliefs, 136–137, 141–142
- Bibb County School District (Georgia), 114
- Bob and Mia’s story, 65–66
- body-mindset, 49–57
- brain/brain chemistry, 135–143
C
- change
- conversations to create, 3, 13–24, 92–111, 111t
- creating macro-movement for positive, 96
- inquiry and generative questions for, 62–76, 68, 138, 140, 163
- Clarke Group, 114
- Cleveland Clinic, 114
- Coca-Cola, 8
- Colleen and Trevor’s story, 74, 76
- Community One Bank story, 19–23, 36
- complexity science, 8–9
- Constructionist Principle, 92, 95, 97–100, 101t, 111t, 156
- conversations
- AI principles driving your, 91–111, 111t
- combining AI with the art of, 7–11, 23–24
- inquiry-based-statement-based dimension, 31f, 34–37
- research findings on, 135–147
- resting body-mindset beneath our, 49–57
- types of, 31–35, 31f, 35–47, 52f, 53–54, 68–71, 113–133, 133t, 137–138
- Conversations Worth Having
- description of, 35, 37–40, 57–58, 58f
- science and key learnings on, 135–147, 158–164
- See also AI-based conversations
- conversation tool kit, 159
- Cooperrider, David L., 1–11, 16, 91, 140, 158
- Critical Conversations, 35, 42–45
D
- Daniel’s story, 104–105, 110, 141, 142
- Deckard, Jenniffer, 114
- depreciative conversations, 31–34, 31f, 52–53, 52f, 62–76, 137–138, 140
- Destructive Conversations, 35, 45–47
- Drucker, Peter, 7
- drug bust police training, 136–137, 138
E
- 80/20 rule, 135–136, 146
- emotions, 52–54, 52f, 136–138, 143–146, 146
- Erich’s story, 115–132
- ER Right-Care, Right-Place plan, 18
F
- Fairmount Santrol, 114
- family AI-based conversations, 19
- Fast Company, 1
- First Nations gang members, 104–105, 110, 141, 142
- 5-D Cycle, 110, 114–133, 133t
- 5-D Cycle phases
- 1. Define, 114, 117f, 118, 119–126, 133t
- 2. Discover, 114, 117f, 118, 124, 126–127, 133t
- 3. Dream, 114, 117f, 118, 124, 128, 133t, 140
- 4. Design, 114, 117f, 118, 124, 129–130, 133t
- 5. Deploy, 114, 117f, 119, 124, 130–133, 133t
- Flip It step (flipping/reframing), 84, 85, 86, 121
- flipping to reframe, 80–88, 121
- fMRI imagery technology, 136, 138–139, 139f
- Ford, Jeff, 29
- Ford, Laurie, 29
- Four Conversations, The (Ford and Ford), 29
- Frame It step (flipping/reframing), 84, 85, 86, 121
- François’s story, 37–38
- Fredrickson, Barbara, 143–144, 146
G
- Gabriela’s story, 68–69, 70–71, 102–103, 110, 142
- generative questions, 62–76, 138, 140
- George and Alexa’s story, 84, 85–87
- Goldberg, Marilee, 29
- Google, 113
- Gottman, John, 145, 146
- gratitude, 138
- Great Recession (2008), 23
- Green Mountain Coffee Roasters, 8, 114
- Greider, William, 61
H
- Heaphy, Emily, 144–145, 145t, 146
- HeartMath Institute, 137–138
- Hock, Dee, 1–4
- Huberman’s body-mindset exercise, 55
I
- inquiry-based conversations, 31f, 34–37
J
- Jack’s story, 108–109, 110
- Jake’s story, 50, 51, 52, 53
- Jamal’s story, 97–100, 101t–102t, 142
- Johnson & Johnson, 8
- Jung, C. G., 52
K
- Kleinbaum, Nancy H., 135
- Krupp, Gerard, 114–115, 131–132
L
- Lambert, Linda, 13
- leadership/leaders, 3, 6–7, 113
- listening, 57–58, 58f
- Losada, Marcial, 144–145, 145t, 146
- Los Angeles Police Department Drug Task Force, 136–137, 138
M
- macro-movements, 96
- Mark and Melissa’s story, 77, 79–80, 81–82, 87
- mental models, 100
- micro-moments, 96, 144
- Monica and Aiden’s story, 69–70
N
- Name It step (flipping/renaming), 84, 85, 86, 121
- neuroscience research, 136–139, 139f
- Nutrimental, 114
O
- organizational culture and climate, 122
- organizational team performance, 144–146
P
- Patel, Alisha, 13–19, 61–62
- patient satisfaction story, 13–19
- Paul’s story, 10, 37–38
- Peale, Norman Vincent, 142–143
- PERMA metrics, 146
- Placebo Effect, 141, 142
- Poetic Principle, 92, 94, 95, 101t, 103–105, 111t, 156–157
- positive framing, 62, 76–88, 121–122, 140–141, 143
- positive image/positive action research, 135, 138–143
- Positive Principle, 93, 94, 95–96, 102t, 108–110, 111t, 140, 157
- positive psychology, 143–146
- Positivity (Frederickson), 144
- Pygmalion Effect, 141–142
R
- Ram’s story, 22, 36–37, 76, 146
- Randall, Elizabeth, 20–23, 36, 37, 146
- Ravi’s story, 106–108
- relationships, 10, 19–23, 35, 45–47, 146–147
S
- Save the Children, 66–67
- self-awareness, 49–57
- Seligman, Martin, 145–146
- Simultaneity Principle, 92, 94, 96, 102–103, 102t, 111t, 156
- Slack, 37
- statement-based conversations, 31f, 34–37
- Stavros, Jackie, 2, 10
- Sternin, Jerry, 66–68
- Summers, Ms., 97, 98, 100, 101t–102t
T
- Tannen, Deborah, 91
- team performance research, 144–146
- Technology Center’s 5-D Cycle case study, 115–133, 133t
- threat perception, 137–138
- Timmy’s story, 50–51, 52, 53
- Timothy’s story, 136
- Torres, Cheri, 2, 10
- tuning in, 25–26, 25f, 54–57
U
- United Nations, 8
- United Nations Global Compact, 114
- United Way of America, 114
- US Navy, 8, 114
V
- Verizon, 8, 114
- Visa Inc., 2–6
- visualization, 140
- Vitamix, 8
W
- Wellington, Mary, 19–23, 62, 76
- “What Good Are Positive Emotions” (Fredrickson), 143–144
- Wittit, Ms., 97, 98, 100, 101t–102t, 110, 142
- World Vision, 114
Z
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