Dashboard

The Dashboard is the first screen you see after signing in. It gives you an at-a-glance picture of your workspace’s health: how many issues are active, which patterns carry the highest risk, what the AI predicts is coming next, and what has been happening in the last few minutes. The page refreshes automatically every 60 seconds. A STREAM CONNECTED indicator in the top bar confirms that live events are flowing.

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Running an analysis

The Run analysis button in the top bar triggers a fresh AI analysis pass over your workspace’s open issues. Use it after ingesting a batch of new events or when you want an updated risk snapshot.

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KPI tiles

Six metric tiles appear across the top of the dashboard. Each tile shows the current value, the change from the previous window, a trend direction, and a mini sparkline. Use the window selector (7 d / 30 d / 90 d) to change the comparison period. The delta on each tile reflects the change from the previous window of the same length. The backing endpoint is GET /v1/dashboard/kpis?window=30d. See the API reference for the full response schema.

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Interactive chart

Below the tiles, an interactive time-series chart plots one metric over the selected window. Click a point to see its exact value and date in a tooltip. Use the arrow keys when the chart is focused to step through data points. Available metrics include issue volume, pattern risk trend, and resolution rate. The chart data comes from GET /v1/dashboard/charts/{metric}.

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Risk heatmap

The risk heatmap shows issue volume by day of week × hour of day (UTC). Darker cells indicate higher issue density. Use it to spot when your systems are most prone to failures — for example, every Monday morning after a weekend deploy. The backing endpoint is GET /v1/dashboard/risk-heatmap.

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Pattern cluster graph

The cluster graph visualises how patterns relate to each other. Each node is a pattern; node size reflects its risk score; edges connect patterns that share contributing factors or issue membership. Clusters — groups of tightly related patterns — are shown as color-coded regions. The graph data comes from GET /v1/dashboard/cluster-graph. You can also retrieve the full cluster list via GET /v1/clusters.

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Predictions — next incidents

A panel on the lower half of the dashboard surfaces the top upcoming incidents predicted by the AI. Each row shows the pattern name, the probability score, and the prediction window. The amber pill on the panel header counts how many predictions are currently active. Click Apply playbook on a high-confidence prediction to navigate to its recommendation and act before the incident occurs.

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Live activity feed

The Live activity panel streams workspace events in real time. Each row shows the timestamp and a human-readable description of what happened — new issues ingested, analyses completed, patterns matched, recommendations generated. Events are fetched from GET /v1/dashboard/activity and filter by type prefix (for example, issue. or prediction.).

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Model accuracy

The Model accuracy card shows how well the prediction engine is performing: These figures come from GET /v1/dashboard/model-accuracy and are re-evaluated regularly.

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Mobile view

On screens 640 px wide and below, the dashboard switches to a condensed layout. The top bar shows your organisation name and a notification bell. Three compact KPI tiles (Active, P1 loops, Precision) appear below. The most critical open prediction is highlighted in an alert card with quick-action buttons.

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