In practice, method selection is frequently driven by tacit knowledge rather than explicit criteria, producing inconsistent, or suboptimal outcomes. This thesis develops and evaluates a practitioner-oriented Decision Support Tool (DST) that guides novices toward context-appropriate Business Analysis methods for agile software projects.

Using a two-iteration Design Science Research approach, the study consolidated a focused set of 23 methods, defined an influencing-factor-to-method-attribute model for selection, and operationalised multi-criteria decision analysis via TOPSIS. Model parameters were informed by a structured literature review, a practitioner survey (n=27), and interviews in three streams: Problem identification (n=5), Design & Development with attribute ratings (n=8), and demonstration/evaluation with live tool use (n=8). The DST is implemented in Microsoft Excel for accessibility and integrates a factor ratings and weightings, explicit handling of benefit/cost attributes, input and rating normalisation, and relationship-based weighting to balance many-to-many mappings between influencing factors and method attributes. The tool outputs ranked recommendations per application area and complements each recommendation with concise explanations, examples, and learning resources.

Results show that the DST consistently produces plausible, context-sensitive recommendations and supports explainable decisions. Iteration 2 improved onboarding, input clarity, and navigation (e.g., dropdowns, tooltips, focused start page) without altering the underlying algorithm. The thesis contributes (1) a consolidated, novice-oriented method set with relevant attributes and influencing factors; (2) a MCDA implementation (TOPSIS) for BA method selection; (3) an immediately usable Excel-based DST; and (4) an explainability mechanism linking influencing factors to method attributes so users understand why a method fits. The scope is intentionally limited to entry-level BAs in agile projects and a single MCDA technique (TOPSIS).