Context switching isn’t just annoying—it’s expensive.

Harvard Business Review reports that employees switch between apps and websites roughly 1,200 times a day, which adds up to nearly five weeks of lost productivity annually.

A Qatalog study found that 45% of employees say context switching kills productivity, 43% report fatigue, and 62% admit it causes them to miss collaboration opportunities.

Asana research notes that the average worker uses 13 applications 30 times a day and loses 26% of their productivity to app overload.

Recovering from each interruption takes about 23 minutes.

The financial impact is significant: a Forrester analysis estimates that an organization with 5,000 information workers could save over $3.1 million per year by reducing app switching by just 15 minutes per employee per day.

Poor technology also affects retention; a Laserfiche survey found that 20% of Gen Z employees have quit their job because of outdated tools and half would consider leaving.

Contextual, in‑workflow analytics cut through this noise by delivering data where users already work, minimizing interruptions and reclaiming lost time.

MageMetrics reduces context switching by embedding insights directly in user workflows, improving focus and productivity.