Annie Duke
Decision-Making Expert, Author, Former Professional Poker Player
Annie Duke is a former professional poker player turned decision-making expert and author. She is known for her books 'Thinking in Bets' and 'Quit: The Power of Knowing When to Walk Away.' Annie is also a special partner at First Round Capital and the co-founder of the Alliance for Decision Education.
Episodes (1)
Insights (9)
Kahneman's Humility and Open-Mindedness
leadership perspectivesAnnie highlights Kahneman’s habit of saying "I don’t know" and eagerly changing his mind as a model for leaders.
Structured Interviews Increase Hiring Success by 15%
case studies lessonsMoving from unstructured intuition to a structured interview rubric raised hiring success from 50% to 65%, demonstrating the power of explicit decision models.
Making Hiring Criteria Explicit Boosts Success Rate
strategic thinkingMaking implicit hiring criteria explicit via a rubric and structured interviews, then adding intuition, boosts hit rates from 50% to 65%, according to Annie Duke.
Use "Nevertheless" to Balance Listening and Decision Enforcement
leadership perspectivesUsing “I hear you, nevertheless…” lets others feel heard while you still enforce the final decision, helpful for parenting and teams.
Bezos' 70% Rule for Accepting Uncertainty
strategic thinkingBezos has the 70% rule to roll people back to be willing to accept uncertainty in the starting decision.
When Thinking About Quitting, You're Already Late
strategic thinkingIf you’re already thinking about quitting it’s probably past the time you should have quit.
Would I Start This Today? Test for Quitting
strategic thinkingAsk “would I start this today?” as a forecast when deciding whether to quit.
Kahneman's Perspective: Nothing Is As Important As It Seems
quotesAnnie cites Kahneman to stress keeping perspective when decisions feel huge.
Collect Opinions Independently Before Group Discussion
strategic thinkingSend prompts individually and collect private responses via forms or sheets so opinions form independently, reducing loudest-voice bias.