Opportunity Realization: Building MVPs and Driving Growth

George Krasadakis

Chapter 8 in Innovation Mode 2.0, 2026, pp 217-232 from Springer

Abstract: Abstract Moving from validated opportunities to market success requires specialized capabilities that can rapidly transform concepts into market-ready products while continuously optimizing for product-market fit. This chapter explores the opportunity realization capability powered by dedicated teams equipped to scope, build, and launch exceptional Minimum Viable Products (MVPs) at speed while operating multiple initiatives in parallel. It begins by examining the MVP concept as a means of market learning, customer validation, and in-market experimentation. The chapter presents frameworks for defining great MVPs that capture essential functionality while enabling rapid development cycles. It then explores parallel development and launch strategies that allow organizations to pursue multiple opportunities simultaneously. The chapter presents specific flows and patterns that enable the team to gather user feedback, monitor key performance indicators, and adapt quickly to customer signals and direct feedback. It concludes with systematic approaches to driving rapid in-product experimentation threads that test different features, user experiences, and business model variations, creating multiple pathways toward achieving product-market fit through data-driven iteration and optimization.

Date: 2026
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-032-00835-0_8

Ordering information: This item can be ordered from
http://www.springer.com/9783032008350

DOI: 10.1007/978-3-032-00835-0_8

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().