Client stories
Evidence from queues, not star ratings
Handlers and operations leads describe what changed after assessments, clinics, and briefings — including the friction that remained.
The assessment named three wrap-up codes our handlers had been avoiding for months. We still argue about staffing on weekends, but at least the report no longer blames the morning shift for overnight tickets.
Reassignments dropped after we rewrote two queue descriptions. The review was blunt about our escalation ladder — useful, even when it stung.
I stopped pasting dashboard screenshots into board packs. The monthly note gives me three decisions and one risk, which is what the directors actually ask for.
The clinic helped me separate language-switch time from true handle-time gaps. Coaching feels less like reading a league table aloud.
Unpicking a false handle-time crisis
Priya’s team saw average handle time climb for six weeks after a catalogue redesign. Leadership assumed handlers needed firmer targets. The assessment compared cover hours, wrap-up mixes, and a sample of shadowed chats. Most of the rise sat in a new returns flow that forced handlers to leave the support app for a separate stock screen — often twice per case. The findings brief recommended a short knowledge article and a queue split for returns, not a blanket speed target. Handle time eased over the following month once returns sat in their own queue; coaching conversations shifted to quality samples instead of stopwatch pressure.
We expected a polished slide deck. What we received was a journey map our handlers corrected in the room — slower to produce, but nobody disputed the bottlenecks afterward.