A two-person cart tracked prep time, stockouts, and queue length by five-minute intervals. A tablet widget turned red when espresso shot times drifted, prompting a grinder adjustment before quality slipped. Pre-order volume forecasted pastry runs, cutting waste by thirty percent in a month. The owners stopped hovering and started greeting regulars. Revenue climbed, the line moved faster, and the dashboard became the quiet shift lead they never had budget to hire.
The founder watched activation rate, time-to-value, and churn drivers annotated from support tags. A single pane showed exceptions: failed webhooks, latency spikes, and payment retries nearing limits. When activation dipped, an onboarding tweak reduced first-run steps and lifted conversions within a week. With alerts tuned to leading signals, midnight pages disappeared. The product felt calmer, support volume fell, and the founder reclaimed evenings to build instead of chasing unpredictable fires.