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Dashboards & insights

Insights turn the data your processes generate into charts and dashboards. Every run, task, form submission, and agent call is recorded; Insights lets you ask questions of that history — how many, how long, how often, broken down however you need — without writing any SQL.

A query runs over one of four data sources:

  • Workflow runs — every process execution.
  • Tasks — the human tasks processes create.
  • Form submissions — what people entered to complete those tasks.
  • Agent executions — every AI agent call.

You describe what you want as a measure and, optionally, how to break it down:

  • Measure — what to compute: a count, a sum, an average, a min or max, or a percentile (p50 / p95) of a field (a run’s duration, a form’s approved amount).
  • Dimension — how to group it: by a field (process, status, vendor) or over time (per day, week, month).
  • Second dimension — a second grouping, which turns a bar chart into a stacked or grouped bar or a heatmap.
  • Filters and a time range narrow it down.

The shape of the answer picks the chart:

  • a single number (with a trend vs. the previous period);
  • a time series (line or area) when you group over time;
  • a bar chart when you group by a field;
  • a stacked / grouped bar or a heatmap when you add a second dimension;
  • a distribution across categories.

A dashboard is a saved layout of charts. You build one two ways:

  • Build with AI — describe what you want in plain language (“claim volume by status over the last month, and average approved amount by adjuster”) and the AI assembles the charts for you.
  • New dashboard — start blank and add and arrange chart widgets yourself in the editor.

Dashboards live under Monitor → Insights. Each can be kept private or shared with your team — read-only or editable.