Optimal Prototyping on Experimentation Platforms

49 Pages Posted: 13 Nov 2023

See all articles by Sreekumar R. Bhaskaran

Sreekumar R. Bhaskaran

Southern Methodist University (SMU) - Information Technology and Operations Management Department (ITOM)

Sanjiv Erat

University of California, San Diego (UCSD) - Rady School of Management

Date Written: June 17, 2024

Abstract

Testing and prototyping comprise an integral part of almost any new product development process. Recent emergence of experimentation platforms who specialize in offering evaluation/assessment of prototypes to outside parties have opened up the possibilities for firms in reconfiguring their product development processes. Firms can, by outsourcing the evaluation stage of their dev-test cycles, obtain cost efficiencies and scale. At the same time, a lack of visibility into the actual evaluation process and the possible ambiguity in the product development firm's requirements may lead to potentially noisy evaluations, raising concerns regarding the fidelity and accuracy of the results. The current article formulates a model of "outsourced evaluations" and examines how the noisy low-fidelity evaluations alter the firm's optimal prototyping. Our results demonstrate that imperfect evaluation fidelity changes the client's optimal experimentation, with the starkest difference being that it can make it optimal for the client to select and launch a prototype that did not yield the best evaluation. In addition, our analysis reveals that the client should optimally request most precise measurements when their ex-ante uncertainty is moderate (not too high or low). Finally, examining the optimal measurement technology choices of the platform, we find that when the client's ex-ante uncertainty increases from moderate to high values, the platform should offer lower fidelity evaluations, but at a higher fee. We develop managerial insights for how the optimal choice of fidelity and the optimal length of the evaluation cycle should be planned depending on the platform's evaluation fees and the client's ex-ante uncertainty. The resulting framework offers guidance to product and software development firms to successfully leverage external experimentation platforms.

Keywords: testing, fidelity, search, platforms, outsourcing

Suggested Citation

Bhaskaran, Sreekumar R. and Erat, Sanjiv, Optimal Prototyping on Experimentation Platforms (June 17, 2024). SMU Cox School of Business Research Paper No. 23-23, Available at SSRN: https://ssrn.com/abstract=4630349 or http://dx.doi.org/10.2139/ssrn.4630349

Sreekumar R. Bhaskaran (Contact Author)

Southern Methodist University (SMU) - Information Technology and Operations Management Department (ITOM) ( email )

Dallas, TX 75275
United States

Sanjiv Erat

University of California, San Diego (UCSD) - Rady School of Management ( email )

9500 Gilman Drive
Rady School of Management
La Jolla, CA 92093
United States

HOME PAGE: http://www.rady.ucsd.edu/faculty/directory/erat/

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