If you try to reduce average resolution time by squeezing every stage equally, you will burn out your team and barely move the metric. Most of the time in most tickets is concentrated in one or two stages — and until you separate them, you cannot see which one to fix.
This free decomposer breaks every ticket into its component stages: first response, triage, agent handling, waiting on customer, waiting on internal teams, and close. You can see exactly where minutes and hours accumulate, and where improvements would meaningfully shorten the overall experience.
It is designed for CX ops leaders, support managers, and AI leaders trying to build a case for automation. The decomposer helps you identify the single biggest bottleneck and estimate the impact of different interventions — from knowledge base improvements to AI-powered triage to process changes around internal handoffs.
The goal is not faster resolution for its own sake. It is to focus your team's attention on the stage where improvement creates the largest drop in customer wait time and handling cost — and to know where AI actually helps versus where a process fix is the right answer.
First response, triage, agent handling, waiting on customer, waiting on internal teams, and close.
By visualizing time spent in each stage and showing how much total resolution time is recovered by improving it.
First response, triage, and low-complexity handling — stages where speed and consistency matter more than nuanced judgment.