A Structured Approach to Feature Prioritization for Dynamic Roadmap Optimization
An effective product strategy requires a systematic framework to prioritize features and match development with organizational objectives. The MoSCoW Prioritization framework provides a flexible, qualitative approach for classifying characteristics into Must Have, Should Have, Could Have, and Won’t Have categories, facilitating targeted decision-making. To assess its efficacy, five principal attributes—Stakeholder Alignment, Business Value, Customer Demand Level, Implementation Effort, and Strategic Relevance—were examined. Data supplied from productlift.dev facilitated a comparison of MoSCoW Prioritizations with the Analytic Hierarchy Process (AHP), Technique for Order Preference by Similarity to Ideal Solution (TOPSIS), and the Weighted Scoring Model. Included materials were ranking templates, prioritization instruments, and result indicators. MoSCoW Prioritization regularly surpassed alternatives, exhibiting enhanced flexibility, interpretability, and strategic alignment. Quantitative study verified a 98% accuracy in prioritization throughout the implementation of roadmap scenarios. The findings validate the model’s potential to facilitate agile product planning and roadmap optimization, making it a pragmatic option for rapidly changing business contexts and significant product initiatives.
Authors
- Cidambi Srinivasan (ORCID: https://orcid.org/0000-0002-0841-8351)
- R. Saranya
- G. Indumathi
- Noor Ali Mohammed
- Thirupurasundari Chandrasekaran
Institutions
- Saint Joseph's College (US)
- Arunai Engineering College (IN)
- St. Joseph's Institute of Technology (IN)
- Mayo Clinic Hospital (US)
- Campbellsville University (US)
- Saveetha University (IN)
Publication Details
- Published
- 2025-06-05
- DOI
- https://doi.org/10.1109/iccsp64183.2025.11089247
- Primary Topic
- Real-time simulation and control systems
- Type
- article
- Field-Weighted Citation Impact
- 0.00