The input table is deliberately narrow. For each row you give a metric name, three threshold bands, a trigger action, and a review level. Nothing else. The discipline comes from filling every cell, not from adding columns.
In the sample data the bands read like this. Field error rate is green at or below 6 percent, amber between 6 and 8 percent, red above 8 percent. Cycle time is green at or below 3 hours, amber between 3 and 4, red above 4. On-time payment is green at or above 97 percent, amber between 93 and 97 percent, red below 93 percent. Duplicate rate is green at or below 0.1 percent, amber between 0.1 and 0.2 percent, red above 0.2 percent.
Notice the direction changes. Three of the four metrics are lower is better. On-time payment is higher is better, so its green band sits at the top and its red band at the bottom. The tool does not assume a direction for you. You write the band as you mean it, including the comparison sign.
The trigger actions in the sample are deliberately different from each other. Field error rate triggers investigate at amber. Cycle time triggers escalate at red. On-time payment triggers root-cause at red. Duplicate rate triggers immediate hold. Review levels follow the same logic: Green Belt, AP Manager, Sponsor and Finance.