Systematic Literature Review of Product Feature Prioritization Frameworks in Startups Building Digital Products Using PRISMA

This systematic literature review (SLR) aims to gain an understanding of the adoption of prioritization frameworks among startups or digital product development environments. We shortlisted 778 studies based on the PRISMA methodology and selected 54 for primary studies that covered factors, decision-making, case studies, and prioritization frameworks. The results show that startups have received little attention in the literature, and there is a lack of empirical evidence of decision-making frameworks available for simplified selection of prioritization frameworks. The review identified the predominance of literature on Fuzzy AHP methods. The managerial implication is that startups need to manage product development meticulously by selecting the right prioritization to build the right features. The theoretical implication is that future work should focus on developing a decision-making framework based on the attributes for specific prioritization frameworks identified and validate decision-making on prioritization frameworks by surveying stakeholders involved in digital product development from a startup context. Additionally, future research should consider bias in terms of organization size and other such metrics. This SLR contributes to the existing body of knowledge by providing a comprehensive review of the current state of prioritization frameworks in startups and digital product development environments, highlighting gaps in the literature, and providing directions for future research.