Skip to main content

An Analytical Framework for Planning Minimum Viable Products

  • Chapter
  • First Online:
Fundamentals of Software Startups

Abstract

For early-stage high-tech startups, Minimum Viable Products are the most important artifacts for both business development and product development. In an entrepreneurial journey with build–measure–learn loops, startups need to be certain about what they learn to be closer to a product–market fit. Grounded from insights of 40 active digital startups, we proposed the 6W3H framework that captures a comprehensive set of context factors for developing an MVP. The framework represents an effectual MVP development with the relationships among the existing competence (Who question), business ideas (Why question) and current customers (For Whom questions), MVP’s features (What to build question), Startup metrics (What to measure question), and the development processes and practices (How questions). We demonstrate how 6W3H framework can be used for visualizing startup development, supporting decision-making, and mitigating product risks. The benefits of using the framework are highlighted when MVPs associating with significant uncertainty and fast-changing requirements and team resources.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 84.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Robinson, F.: A Proven Methodology to Maximize Return on Risk (2001). http://www.syncdev.com/minimum-viable-product. Accessed Mar 2019

  2. Ries, E.: What is the Minimum Viable Product (2009). http://venturehacks.com/articles/minimum-viable-product. Accessed Mar 2019

  3. Blank, S.: Perfection by Subtraction – The Minimum Feature Set. (2010). http://steveblank.com/2010/03/04/perfection-bysubtraction-the-minimum-feature-set/. 2010. Accessed Mar 2019

  4. Duc, A.N., Abrahamsson, P.: Minimum viable product or multiple facet product? The role of MVP in software startups. In: Sharp, H., Hall, T. (eds.) Agile Processes, in Software Engineering, and Extreme Programming, pp. 118–130. Springer International, Cham (2016)

    Chapter  Google Scholar 

  5. What Is A Minimum Viable Product, and Why Do Companies Need Them. (2018). https://www.forbes.com/sites/quora/2018/02/27/what-is-a-minimum-viable-product-and-why-do-companies-need-them/#2720ace7382c. Accessed Mar 2019

  6. Definition of “Minimum Viable Product”. (2019). https://economictimes.indiatimes.com/definition/minimum-viable-product. Accessed Mar 2019

  7. What is a Minimum Viable Product and How to Build an MVP for Your Startup. (2018). https://medium.com/@sprocompany/what-is-a-minimum-viable-product-and-how-to-build-an-mvp-for-your-startup-9a02c0d4a56a. Accessed Mar 2019

  8. Guthrie, G.: How Minimum Viable Products Can Kick-Start Your Startup. (2018). https://backlog.com/blog/how-minimum-viable-products-can-kick-start-your-startup/. Accessed Mar 2019

  9. Boyatzis, R.E.: Transforming Qualitative Information: Thematic Analysis and Code Development. Sage, Thousand Oaks (1998)

    Google Scholar 

  10. Lenarduzzi, V., Taibi, D.: MVP explained: a systematic mapping study on the definitions of minimal viable product. In: 2016 42th Euromicro Conference on Software Engineering and Advanced Applications (SEAA), pp. 112–119. (2016). https://doi.org/10.1109/SEAA.2016.56

  11. Münch, J., Fagerholm, F., Johnson, P., Pirttilahti, J., Torkkel, J., Jäarvinen, J.: Creating minimum viable products in industry-academia collaborations. In: Fitzgerald, B., Conboy, K., Power, K., Valerdi, R., Morgan, L., Stol, K.-J. (eds.) Lean Enterprise Software and Systems, pp. 137–151. Springer, Berlin (2013)

    Chapter  Google Scholar 

  12. Anderson, E., Lim, S.Y., Joglekar, N.: Are More Frequent Releases Always Better? Dynamics of Pivoting, Scaling, and the Minimum Viable Product. HICSS (2017)

    Google Scholar 

  13. Fagerholm, F., Sanchez Guinea, A., Mäenpää, H., Münch, J.: The RIGHT model for continuous experimentation. J. Syst. Softw. 123, 292–305 (2017). https://doi.org/10.1016/j.jss.2016.03.034

    Article  Google Scholar 

  14. Nguyen-Duc, A., Khalid, K., Shahid Bajwa, S., Lønnestad, T.: Minimum viable products for internet of things applications: common pitfalls and practices. Future Internet. 11(2), 50 (2019). https://doi.org/10.3390/fi11020050

    Article  Google Scholar 

  15. Hyrynsalmi, S., Klotins, E., Unterkalmsteiner, M., Gorschek, T., Tripathi, N., Pompermaier, L.B., Prikladnicki, R.: What is a minimum viable (video) game? In: Al-Sharhan, S.A., Simintiras, A.C., Dwivedi, Y.K., Janssen, M., Mäntymäki, M., Tahat, L., Rana, N.P., et al. (eds.) Challenges and Opportunities in the Digital Era, pp. 217–231. Springer International, Cham (2018)

    Chapter  Google Scholar 

  16. Agile Prototyping for technical systems–Towards an adaption of the Minimum Viable Product principle. Accessed Mar 2019

    Google Scholar 

  17. Nguyen-Duc, A., Wang, X., Abrahamsson, P.: What influences the speed of prototyping? An empirical investigation of twenty software startups. In: Baumeister, H., Lichter, H., Riebisch, M. (eds.) Agile Processes in Software Engineering and Extreme Programming, pp. 20–36. Springer International, Cham (2017)

    Chapter  Google Scholar 

  18. Dybå, T., Sjøberg, D.I.K., Cruzes, D.S.: What works for whom, where, when, and why? On the role of context in empirical software engineering. In: Proceedings of the 2012 ACM-IEEE International Symposium on Empirical Software Engineering and Measurement, pp. 19–28. (2012). https://doi.org/10.1145/2372251.2372256

  19. Basili, V.R., Caldiera, G., Rombach, H.D.: Goal question metric paradigm. In: Marciniak, J.J. (ed.) Encyclopaedia of Software Engineering, vol. 1, pp. 528–532. Wiley, New York (1994)

    Google Scholar 

  20. Nguyen-Duc, A., Shah, S.M.A., Ambrahamsson, P.: Towards an early stage software startups evolution model. In: 2016 42th Euromicro Conference on Software Engineering and Advanced Applications (SEAA), pp. 120–127 (2016). https://doi.org/10.1109/SEAA.2016.21

  21. Aquinas, T.: In: Sullivan, D.J. (ed.) The Summa Theologica (Translated by Fathers of the English Dominican Province). Great Books of the Western World. 19, pp. Q7. Art. 3. Obj. 3. Encyclopedia Britannica, Chicago (1952)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Anh Nguyen-Duc .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Springer Nature Switzerland AG

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Nguyen-Duc, A. (2020). An Analytical Framework for Planning Minimum Viable Products. In: Nguyen-Duc, A., Münch, J., Prikladnicki, R., Wang, X., Abrahamsson, P. (eds) Fundamentals of Software Startups. Springer, Cham. https://doi.org/10.1007/978-3-030-35983-6_5

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-35983-6_5

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-35982-9

  • Online ISBN: 978-3-030-35983-6

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics