Jeffrey J. Bussgang

The Experimentation Machine: Finding Product-Market Fit in the Age of AI (eBook, ePUB)

• Format: ePub

Produktbeschreibung

Today's most successful founders know that the startups that learn the fastest will win. In The Experimentation Machine, HBS professor, entrepreneur, and venture capitalist Jeffrey J. Bussgang reveals how AI is transforming the way startups find product-market fit and scale.

Applying timeless methods and cutting-edge tools, Bussgang shows you how to turn your startup into an AI-powered experimentation machine-learning faster and building smarter with leaner teams.

1. Why founders who use AI will replace those who don't
2. How to design, sequence, and rigorously run startup experiments
3. Tools 10x Founders use to create superpowers and leverage
4. How to scale your startup without growing headcount
5. Redefining 'Product-Market Fit' for the AI Age

Join the new class of '10x Founders' who are building valuable companies faster than ever.

Praise for The Experimentation Machine

Jeff Bussgang expertly captures how founders can become '10x founders' by combining timeless start-up principles with the transformative power of AI. A valuable, empowering read for entrepreneurs everywhere.

Reid Hoffman, Co-Founder of LinkedIn and Inflection AI, author of Superagency

Lean Startup and AI are an ideal pairing for leveling up on speed, efficiency, and learning in every phase of company building. Full of instructive examples and detailed processes, The Experimentation Machine is a perfect guide for AI-era founders in pursuit of product market fit and the continuous innovation that spurs growth.

Eric Ries, author, The Lean Startup

An early-stage startup is an experimentation machine: to succeed, founders must formulate and rigorously test business model hypotheses. Bussgang shows entrepreneurs how to master this scientific approach to startup growth, leveraging AI to find product-market fit faster than ever. His book is essential reading for founders aiming to launchand sustaina winning venture.

Thomas Eisenmann, professor, Harvard Business School, author of Why Startups Fail

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Produktdetails

• Verlag: Damn Gravity Media
• Erscheinungstermin: 4. März 2025
• Englisch
• ISBN-13: 9781962339094
• Artikelnr.: 73429537