Personal Analytics and Reports

Personal Analytics and Reports is the layer that turns a captured day into something a person can act on. TimeCampus assembles time from the tools already in use, and this concept is about reading that record back: how focus has trended over a month, how hours split between meetings, deep work, communication and breaks, how often attention moves between contexts, and where the hours actually landed by project.

Most time tools stop at a total. A number of hours tracked answers an accounting question but not a working one, and the moment somebody else needs the answer — a manager, a client, a finance team — the data has to be re-cut by hand in a spreadsheet. This concept addresses both halves: an analytics surface for the person whose time it is, and a set of prepared reports that can leave the product without anyone rebuilding them from scratch.

The illustrated experience moves from exploration to export. The analytics view opens on cross-cutting personal analytics with a scope selector, a trend chart plotting focus over a thirty-day window, and a stacked distribution chart breaking tracked time into activity categories. A right-hand column keeps the summary figures in view — a focus ratio, a context-switching measure and a ranked list of time by project with proportional bars. The reports view then presents the same underlying record as a stack of report cards, each with a title, a one-line summary of what it found and a download control, with a small inline visual on the cards where a chart makes the point faster than a sentence.

Within the wider product these two views sit between capture and everything downstream. The same record feeds focus scoring and work-pattern signals, project and task rollups, timesheet review, and the client-facing portal — so a figure seen in a personal chart is the figure an approver or a client would see, rather than a separate number assembled for the occasion.