How to Design Your Life in 1 Hour

What if you could teleport into Stanford’s most popular class and walk out knowing exactly how to build the life you want?  This episode is your invitation to do just that.  Today, Stanford professors Bill Burnett and Dave Evans are giving you their step-by-step guide to find your purpose and design the life you want, even if you feel stuck, uncertain, or overwhelmed.  Their proven process will quickly help you take charge of your life, expand your view of what’s possible for yourself, live with no regrets, and find more meaning in each day.   Is it ever too late to design the life of your dreams? In this conversation, the professors will tell you the surprising truth – and exactly what to do if you feel like time is running out.   You’ll also learn:  -The 3 powerful questions to ask yourself to figure out what you really want  -How to really design a meaningful life and why there’s no such thing as a “perfect” life   -The easy, no-stress way to turn your ideas into action   -Why you can’t fail, no matter what  This conversation will prove to you that your life is the biggest, most important project you’ll ever take on. You’ll see that you really can live a meaningful life and design the future you want, and you’ll walk away with the simple tools and positive mindset to make it happen, one step at a time.  For more resources related to today’s episode, click here for the podcast episode page.   If you liked the episode, check out this one next: 3 Questions to Ask Yourself to Figure Out What You Really Want Connect with Mel:     Order Mel’s new product, Pure Genius Protein Get Mel’s newsletter, packed with tools, coaching, and inspiration. Get Mel’s #1 bestselling book, The Let Them Theory Watch the episodes on YouTube Follow Mel on Instagram  The Mel Robbins Podcast Instagram Mel's TikTok  Subscribe to SiriusXM Podcasts+ to listen to new episodes ad-free Disclaimer Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.