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Chartcastr supports 10 pre-built Harvest metrics across four categories. All metrics are delivered as timeseries charts with weekly data points, enabling week-over-week and month-over-month trend analysis.

Time Tracking

MetricDescription
Hours by ClientWeekly hours tracked per client over time — see where your team spends time and spot shifts in client allocation
Hours by ProjectWeekly hours tracked per project over time — compare project effort and catch scope creep early
Hours by Team MemberWeekly hours tracked per team member over time — monitor utilization and workload balance
Hours by TaskWeekly hours tracked per task type over time — understand how work distribution changes week-over-week
Billable vs Non-BillableBillable and non-billable hours per week over time — track utilization rate trends

Revenue

MetricDescription
Revenue by ClientWeekly billable revenue per client over time — identify your top revenue sources and spot trends
Revenue by ProjectWeekly billable revenue per project over time — compare project profitability week-over-week

Expenses

MetricDescription
Expenses by CategoryWeekly expense totals by category over time — track spending patterns and catch anomalies
Expenses by ProjectWeekly expense totals by project over time — monitor project costs and budget adherence

Uninvoiced

MetricDescription
Uninvoiced by ProjectUninvoiced hours and expenses per project — catch unbilled work before it slips through the cracks

AI Analysis

Every chart delivery includes AI-powered analysis that highlights:
  • Week-over-week changes — what moved and by how much
  • Month-over-month trends — longer-term patterns in your data
  • Anomalies — unusual spikes or drops worth investigating

How AI analysis works in pulses

Learn how Chartcastr generates summaries, what context it uses, and how to get the most out of AI analysis.