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References: Designing the Solution & Initial Offer

  1. Minimum Viable Product - Wikipedia - Explains the concept of a product with just enough features to satisfy early customers and provide feedback, directly underlying this chapter's minimum viable offer and initial offer.
  2. Lean Startup - Wikipedia - Describes the build-measure-learn methodology for developing businesses and products through validated learning, the framework this chapter's solution testing and iteration cycle is built on.
  3. New Product Development - Wikipedia - Covers the full process of bringing a new offering to market through idea generation, design, and testing, providing context for how a draft business idea becomes a core offering.
  4. The Lean Startup - Eric Ries - Crown Business - Credited for the Build-Measure-Learn loop and the minimum viable product technique of shipping the smallest testable version of an idea, the direct ancestor of this chapter's minimum viable offer and solution-testing cycle.
  5. Running Lean (3rd Edition) - Ash Maurya - O'Reilly Media - Credited for the Lean Canvas and the discipline of stripping a plan down to its riskiest assumptions before building, clarifying why this chapter insists on a narrow solution scope rather than a fully featured offer.
  6. Finding Product-Market Fit in the Tech Industry - Harvard Business School Online - Defines an MVP as the smallest feature set that delivers the fastest learning, reinforcing this chapter's emphasis on cutting an offer down before testing it with real customers.
  7. Why the Lean Start-Up Changes Everything - Harvard Business Review - Steve Blank's overview of how validated, evidence-based iteration replaces upfront business planning, paralleling this chapter's solution assumption, testing, and refinement cycle.
  8. Write Your Business Plan - U.S. Small Business Administration - Walks through describing a product or service line in plain, specific terms, matching this chapter's offer clarity requirement for a testable initial offer.
  9. Perfection By Subtraction – The Minimum Feature Set - Steve Blank - Argues that a minimum feature set exists to reduce wasted effort and get a testable offer in front of early customers quickly, directly supporting this chapter's solution simplicity and scope discipline.
  10. How to Build an MVP - Y Combinator Startup Library - Walks founders through determining an MVP's feature set and presenting it to early customers, a practical companion to this chapter's process of narrowing a draft idea into an initial offer.