Score requirements against platform capabilities using MoSCoW priorities and fit ratings.
npx skills add https://github.com/erphq/skills --skill fit-gap-matrix
Please help me install this Agent Skill. Skill: fit-gap-matrix Source: https://github.com/erphq/skills/tree/main/templates/03-org-1k-plus/fit-gap-matrix Command: npx skills add https://github.com/erphq/skills --skill fit-gap-matrix
This template helps product teams and solution architects map business requirements to platform capabilities, enabling consistent scoring, prioritization, and scoping for enterprise app evaluations.
Begin by filling the matrix with each requirement's Req ID, Category, Process, Priority, and an initial Fit rating to start the analysis.
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Map business requirements to platform capabilities by scoring each requirement's fit across enterprise dimensions like department, size, and process. This matrix applies a structured baseline of must-have, should-have, could-have, and won't-have items to inform scoping decisions.
Score ERP fit gaps using structured ratings of Full Fit, Partial Fit, Gap, or Not Applicable. The matrix provides clear resolution paths for gaps and partial fits through configuration, customization, integration, or workarounds to guide project budgeting.
You can evaluate an enterprise app across different company sizes and departments. The matrix applies scoring methodology across these enterprise dimensions to produce a consistent baseline that informs go/no-go decisions.
Prioritize requirements during platform fit evaluation by applying MoSCoW priorities. The matrix categorizes items into Must Have, Should Have, Could Have, and Won't Have, establishing a baseline to lock scope after sign-off.
The fit-gap template includes a baseline mechanism to lock project scope after sign-off. It also incorporates versioning and field definitions to maintain consistent requirement tracking throughout the evaluation lifecycle.
To start a platform fit analysis, fill the matrix with each requirement's Req ID, Category, Process, Priority, and an initial Fit rating. This establishes the foundational data needed to begin the evaluation and scoring process.
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