Metrics for an Internal Tool

When evaluating an internal tool for support agents, I focus on metrics that prove we are saving time and improving customer outcomes. First, I measure operational efficiency by tracking the reduction in Average Handle Time (AHT). If the tool automates data lookup, I expect a measurable drop in AHT, which directly translates to cost savings per ticket. Second, I monitor First Contact Resolution (FCR) rates. If the tool provides better context to agents, they should resolve issues faster without escalations, boosting overall satisfaction scores like CSAT. To justify the investment, I also track adoption velocity. Are agents actually using it? High adoption confirms the tool solves a real problem. Finally, I calculate the Return on Investment by comparing the engineering hours spent against the total hours saved across the entire support team annually. For example, if a tool saves each of 50 agents 15 minutes a day, that is over 1,800 hours monthly, easily covering the build cost within months. By presenting these concrete efficiency gains and adoption numbers, I shift the conversation from 'cost of building' to 'value created,' aligning with Cisco's focus on delivering practical, scalable solutions for enterprise clients.