International Journal For Multidisciplinary Research
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Volume 8 Issue 3
May-June 2026
Indexing Partners
Design Science Research Approach for Quantifying Client Readiness in Custom Software Projects (CRAM)
| Author(s) | Dr. MohamedElfatih Abd Elrahman Mohamed Ali, Prof. Eltayeb Elsamani Abdelgabar Elsamani |
|---|---|
| Country | Sudan |
| Abstract | Client qualification in custom software development is often performed using informal and experience-driven practices, leading to inefficient pre-sales efforts, poor opportunity prioritization, and increased project risk. Existing qualification frameworks such as BANT, MEDDIC, and SPIN primarily emphasize commercial considerations and do not adequately address the operational, technical, and collaborative requirements associated with software-intensive projects. This study addresses this gap by developing and validating the Client Readiness and Alignment Model (CRAM), a structured multi-dimensional framework for assessing client readiness prior to project initiation. CRAM integrates commercial, technical, operational, and behavioural dimensions into a unified weighted scoring mechanism designed to support objective and consistent pre-sales decision-making. Following the Design Science Research (DSR) methodology, the study develops CRAM as both a conceptual model and a web-based decision-support artifact. The framework was evaluated in an industrial context using a dataset of more than 50 prospective clients across software development, system integration, and automation projects. The results demonstrate that CRAM effectively differentiates levels of client readiness, improves consistency in qualification decisions, and reduces inefficient engagement with low-readiness prospects. The study contributes both theoretically and practically by reframing client qualification as a measurable readiness construct and operationalizing it into a deployable decision-support system for software engineering environments. |
| Keywords | Client Readiness, Pre-Sales Evaluation, Design Science Research, Decision Support Systems, Software Project Risk, Multi-Criteria Assessment, CRAM. |
| Field | Computer |
| Published In | Volume 8, Issue 3, May-June 2026 |
| Published On | 2026-05-11 |
| DOI | https://doi.org/10.36948/ijfmr.2026.v08i03.77875 |
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E-ISSN 2582-2160
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