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A tartalmat a Data Made to Matter biztosítja. Az összes podcast-tartalmat, beleértve az epizódokat, grafikákat és podcast-leírásokat, közvetlenül a Data Made to Matter vagy a podcast platform partnere tölti fel és biztosítja. Ha úgy gondolja, hogy valaki az Ön engedélye nélkül használja fel a szerzői joggal védett művét, kövesse az itt leírt folyamatot https://hu.player.fm/legal.
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Curated Questions: Conversations Celebrating the Power of Questions!
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Episode Notes [03:47] Seth's Early Understanding of Questions [04:33] The Power of Questions [05:25] Building Relationships Through Questions [06:41] This is Strategy: Focus on Questions [10:21] Gamifying Questions [11:34] Conversations as Infinite Games [15:32] Creating Tension with Questions [20:46] Effective Questioning Techniques [23:21] Empathy and Engagement [34:33] Strategy and Culture [35:22] Microsoft's Transformation [36:00] Global Perspectives on Questions [39:39] Caring in a Challenging World Resources Mentioned The Dip by Seth Godin Linchpin by Seth Godin Purple Cow by Seth Godin Tribes by Seth Godin This Is Marketing by Seth Godin The Carbon Almanac This is Strategy by Seth Godin Seth's Blog What Does it Sound Like When You Change Your Mind? by Seth Godin Value Creation Masterclass by Seth Godin on Udemy The Strategy Deck by Seth Godin Taylor Swift Jimmy Smith Jimmy Smith Curated Questions Episode Supercuts Priya Parker Techstars Satya Nadella Microsoft Steve Ballmer Acumen Jerry Colonna Unleashing the Idea Virus by Seth Godin Tim Ferriss podcast with Seth Godin Seth Godin website Beauty Pill Producer Ben Ford Questions Asked When did you first understand the power of questions? What do you do to get under the layer to really get down to those lower levels? Is it just follow-up questions, mindset, worldview, and how that works for you? How'd you get this job anyway? What are things like around here? What did your boss do before they were your boss? Wow did you end up with this job? Why are questions such a big part of This is Strategy? If you had to charge ten times as much as you charge now, what would you do differently? If it had to be free, what would you do differently? Who's it for, and what's it for? What is the change we seek to make? How did you choose the questions for The Strategy Deck? How big is our circle of us? How many people do I care about? Is the change we're making contagious? Are there other ways to gamify the use of questions? Any other thoughts on how questions might be gamified? How do we play games with other people where we're aware of what it would be for them to win and for us to win? What is it that you're challenged by? What is it that you want to share? What is it that you're afraid of? If there isn't a change, then why are we wasting our time? Can you define tension? What kind of haircut do you want? How long has it been since your last haircut? How might one think about intentionally creating that question? What factors should someone think about as they use questions to create tension? How was school today? What is the kind of interaction I'm hoping for over time? How do I ask a different sort of question that over time will be answered with how was school today? Were there any easy questions on your math homework? Did anything good happen at school today? What tension am I here to create? What wrong questions continue to be asked? What temperature is it outside? When the person you could have been meets the person you are becoming, is it going to be a cause for celebration or heartbreak? What are the questions we're going to ask each other? What was life like at the dinner table when you were growing up? What are we really trying to accomplish? How do you have this cogent two sentence explanation of what you do? How many clicks can we get per visit? What would happen if there was a webpage that was designed to get you to leave? What were the questions that were being asked by people in authority at Yahoo in 1999? How did the stock do today? Is anything broken? What can you do today that will make the stock go up tomorrow? What are risks worth taking? What are we doing that might not work but that supports our mission? What was the last thing you did that didn't work, and what did we learn from it? What have we done to so delight our core customers that they're telling other people? How has your international circle informed your life of questions? What do I believe that other people don't believe? What do I see that other people don't see? What do I take for granted that other people don't take for granted? What would blank do? What would Bob do? What would Jill do? What would Susan do? What happened to them? What system are they in that made them decide that that was the right thing to do? And then how do we change the system? How given the state of the world, do you manage to continue to care as much as you do? Do you walk to school or take your lunch? If you all can only care if things are going well, then what does that mean about caring? Should I have spent the last 50 years curled up in a ball? How do we go to the foundation and create community action?…
Data Made to Matter by MIT Sloan School of Management
Mind megjelölése nem lejátszottként
Manage series 1447360
A tartalmat a Data Made to Matter biztosítja. Az összes podcast-tartalmat, beleértve az epizódokat, grafikákat és podcast-leírásokat, közvetlenül a Data Made to Matter vagy a podcast platform partnere tölti fel és biztosítja. Ha úgy gondolja, hogy valaki az Ön engedélye nélkül használja fel a szerzői joggal védett művét, kövesse az itt leírt folyamatot https://hu.player.fm/legal.
Data Made to Matter explores the business breakthroughs that come from applying data-based research to real-world challenges. In this new show from the MIT Sloan School of Management, host Neal Hartman interviews MIT’s innovative thinkers on a range of topics, from the rising costs of healthcare, to global poverty, to addressing climate change. Data Made to Matter showcases how data, a spirit of experimentation, and desire to invent the future can advance management practice and improve the world. Produced by the MIT Sloan Office of Communications. Learn more @MITSloan.
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12 epizódok
Mind megjelölése nem lejátszottként
Manage series 1447360
A tartalmat a Data Made to Matter biztosítja. Az összes podcast-tartalmat, beleértve az epizódokat, grafikákat és podcast-leírásokat, közvetlenül a Data Made to Matter vagy a podcast platform partnere tölti fel és biztosítja. Ha úgy gondolja, hogy valaki az Ön engedélye nélkül használja fel a szerzői joggal védett művét, kövesse az itt leírt folyamatot https://hu.player.fm/legal.
Data Made to Matter explores the business breakthroughs that come from applying data-based research to real-world challenges. In this new show from the MIT Sloan School of Management, host Neal Hartman interviews MIT’s innovative thinkers on a range of topics, from the rising costs of healthcare, to global poverty, to addressing climate change. Data Made to Matter showcases how data, a spirit of experimentation, and desire to invent the future can advance management practice and improve the world. Produced by the MIT Sloan Office of Communications. Learn more @MITSloan.
…
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12 epizódok
Semua episode
×The Second Machine Age is here. Two MIT economists create a playbook for how businesses can adapt to our new digital future. Erik Brynjolfsson and Andy McAfee are co-founders the Initiative on the Digital Economy at MIT Sloan. Their new book is “Machine, Platform, Crowd: Harnessing Our Digital Future.” We speak with Erik and Andy about the great economic rebalancing of minds and machines, physical products and virtual platforms, core competencies and the wisdom of the crowd.…
A supply chain expert shows that happy, motivated workers can make big profits for big box companies - that the service and retail industries can provide well-paying jobs, compete on costs, and win. We speak with Zeynep Ton, Professor of Operations Management at MIT Sloan, author of "The Good Jobs Strategy" and founder of the Good Jobs Institute, about how good jobs can be great for business, and what it means for the future of work.…
MIT Sloan professor Pierre Azoulay is turning the scientific method back on science. He uses online data from individual scientists and institutions to track research and innovation, and he's finding significant long-term returns on investment for the public funding of science. We speak with Pierre about superstar scientists, the research-to-patent pipeline, and why funding science matters.…
A social psychologist uses data to reframe the conversations around race in corporate America. We speak with Evan Apfelbaum about how we talk about diversity, gender, and race in the workplace, and how it affects whether people stay or leave.
Big data is flooding the business world. And we need a new generation of business analysts to make sense of it. A report from McKinsey predicts that the US workforce will be short 1.5 million big data managers and analysts by 2018. MIT Sloan is rising to the challenge with a new Master of Business Analytics Program, launched in 2016. We speak with Dimitris Bertsimas, Professor of Management, and Director of the new MBAn program at MIT Sloan.Plus, we speak with MIT Sloan alum Ali Almossawi. His business school experience set him on a career path in data visualization; he now works for Apple. His new book, “Bad Choices,” explains computer algorithms to a wide audience.…
Antoinette Schoar is using big data to hold the personal finance industry accountable to the people it serves. The finance professor was a founding member of the Consumer Advisory Board for the Consumer Financial Protection Bureau. We speak with Antoinette about prolific credit card offers, shoddy financial advisors, and how what’s good for the consumer can also be good for the market.…
As an applied economist, Joe Doyle uses data to root out the real causes of waste in our healthcare system. He analyzes natural experiments in healthcare to connect cause and effect. We speak with Joe about how healthcare costs can be reined in by treating the whole patient, and why he’s drawn to work in this field.…
MIT Sloan’s John Sterman took data-based models to the 2015 Paris Climate Conference. The Systems Dynamics professor used data-based models to build consensus around curbing greenhouse gas emissions and limiting global temperature rise. Recently, President Trump announced that the US is withdrawing from the Paris Climate Accord. We speak with John about how data-based models can change minds and spur action, and why he's still hopeful about the future of climate change. You can learn more about John's work on climate change at http://climateinteractive.org.…
A developmental economist uses data to track how technology is changing lives in Africa. Tavneet Suri is on the ground in Kenya, collecting data on telecom innovations and their impacts. We spoke with Tavneet about how mobile money is lifting women and families out of poverty. We also learn some surprising facts on why voter texts are causing disappointment.…
Data-based algorithms are personalizing medicine. A family history with diabetes led MIT Sloan professor Dimitris Bertsimas to make breakthroughs in treatment. We spoke with Dimitris about why he works on diabetes, and how he’s using his expertise in data analytics to help.
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