Software Product Initiative Prioritization with Analytic Hierarchy Process in Doctor to Doctor Application

Abstract

Doctor to Doctor (D2D) is a mobile application for doctors. To gain competitive advantage, D2D has numerous initiative idea and need a systematic way to prioritize the development. The purpose of this research is to create a prioritization model which consists of criteria and weighting to help the decision-makers in D2D to select which initiative to pursue. Literature study, interviews with key decision-makers in the company, questionnaires to company experts, and a questionnaire to practitioners in the industry were done to determine the criteria and prioritization technique. Three criteria of demand, business sustainability, and complexity were found to support the prioritization process using Analytical Hierarchy Process (AHP). Among the ten sub-criteria, the sub-criteria with the highest global weights are competitive advantage, profitability margin, and user demand. The model was tested on three alternatives which are Pairing TD, Webinar 360, and Multi-country. Quantitative rating and criteria weight calculation was applied to the initiatives, resulting in Webinar 360 as the highest priority initiative.

Keywords: Initiative, requirement prioritization, MCDM, multi-expert, software development, analytic hierarchy process