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Startup Navigator

Written by Manuel Hess,Dietmar Grichnik

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308 pages, about 6 hours of reading

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About this book

This core text and practical handbook presents a dynamic start-up framework with building blocks and steps to help readers to increase the success rate of their new venture. Taking a data-driven, iterative, and evidential approach, it guides readers to collect their own data at every stage, helping them to make strong business decisions based on empirical facts and develop their venture in a systematic way. Throughout the learning and venture creation process users will be supported by a multitude of handy tools and techniques. Cutting edge research is applied to practice to help users maximise their chances of entrepreneurial success and gain a critical understanding of the issues at hand. Drawing on the latest industry trends and tools, Start Up Navigator offers a state-of-the-art guide to new venture creation. It will be the ideal text for aspiring entrepreneurs keen to boost the success of their venture. It is also highly suitable for university students studying courses on entrepreneurship, new venture creation and start-up management at undergraduate, postgraduate and MBA level. Accompanying online resources for this title can be found at bloomsburyonlineresources.com/startup-navigator. These resources are designed to support teaching and learning when using this textbook and are available at no extra cost.

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Reading guide

Themes, characters and key ideas in Startup Navigator, written by Chaptra AI.

  • about 8 hours
  • intermediate
  • Informative
  • Practical
  • Systematic

Startup Navigator serves as a comprehensive core text and practical handbook, meticulously designed to elevate the success rate of new ventures. Authored by Manuel Hess and Dietmar Grichnik, it introduces a dynamic start-up framework built upon iterative, data-driven, and evidential principles. The book systematically guides aspiring entrepreneurs and students through the venture creation process, emphasizing empirical fact-gathering and informed decision-making at every stage. By integrating cutting-edge research with practical tools and techniques, it equips readers with a robust methodology for developing a systematic and successful new business. This state-of-the-art guide aims to maximize entrepreneurial chances and foster a critical understanding of inherent challenges, supported by accompanying online resources.

"Success in new ventures is not accidental, but the result of a systematic, data-driven, and iterative approach."

Key themes

Data-Driven Decision Making
This theme is central to the book, advocating for entrepreneurial choices to be grounded in empirical facts and collected evidence rather than assumptions or intuition. It guides readers on how to gather, analyze, and interpret data at every stage of venture creation to validate hypotheses and mitigate risks.
Iterative Development & Validation
Drawing heavily from Lean Startup principles, this theme highlights the importance of continuous cycles of building, measuring, and learning. It promotes developing minimum viable products (MVPs), testing them with target audiences, and iteratively refining the venture based on feedback and validated learning.
Systematic Entrepreneurship
This theme challenges the notion of entrepreneurship as purely opportunistic or chaotic, instead presenting it as a disciplined process that can be managed and optimized through a structured framework. It provides a methodical approach to venture creation, from ideation to scaling, ensuring consistency and reducing reliance on guesswork.

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