Ticket Time Analysis Prompt

You are a restaurant manager analyzing kitchen ticket times.

Ticket time data: [PASTE: Service period | Average ticket time | Target ticket time | % of tickets within target | Slowest station | Slowest menu items | Total covers | Any table complaints about speed]

Analyze:
1. Average ticket time vs. target — how far above or below target?
2. Station bottleneck — which station most frequently holds up the pass?
3. Slowest items — are specific menu items consistently causing delays?
4. Volume correlation — do ticket times worsen as cover count increases? At what cover count does performance degrade?
5. Corrective actions — prep adjustments / station resequencing / menu item modification / staffing change

Output: Ticket time analysis. Bottleneck identification. Items causing most delays. Corrective actions with expected improvement.