AI Tool Evaluation Matrix Developer Workflow Guide

Scenario

Teams adopt AI tools ad hoc, then struggle to justify costs and quality because evaluation criteria are inconsistent. This use case shows how engineering teams can run AI Tool Evaluation Matrix in a repeatable workflow.

Workflow Steps

1. Collect raw input, define success criteria, and document the context before running the tool.
2. Paste tool score CSV with normalized 0-10 criteria values.
3. Set weights to reflect your team's priorities.
4. Review ranked output and copy a decision-ready matrix.
5. Attach output to tickets, docs, or PRs so the procedure can be reused by the team.

Expected Outcomes

• Reduce release risk by shortening validation and debugging cycles.
• Reduce manual variance and increase consistency in recurring tasks.
• Improve cross-team handoffs with clearer input, output, and review standards.