Cliffhanger Solutions
Get a Demo
Dashboards earn their place when someone acts on the answer.
Aging work, restoration trends, compliance state, and cross-workbench bottlenecks, built from operational events as they happen. Every metric points to who acts on it, how often it changes, and what decision it improves.
- Built directly on the platform's event stream.
- One projection layer; many roles; no parallel reporting empire.
- Arrives only when the workbenches beneath it produce stable signal.
What it does that a BI tool can't.
Operations Intelligence is the layer that knows where every number came from, who acts on it, and what changes when it moves.
Built from live events
The same events that power the workbenches feed the dashboards. No "Tuesday data": when the work moves, the numbers move.
Every metric answers four questions
Who acts on this? How often does it change? What decision does it improve? What source does it depend on?
Aging work, surfaced
Discrepancies, work orders, vegetation backlog: whatever has been sitting too long is put in front of someone who can act on it.
Compliance that defends itself
Cycle progress, inspection coverage, restoration timelines, durable and source-linked. Regulators get the answer they can verify.
Cross-workbench view
The picture across Field, Dispatch, and Office, where the bottlenecks live, who they hit, where to invest next.
Deliberately built last
It earns its place after the workbenches beneath it produce signal worth reporting.
Who reads these dashboards.
These are working views for the people who own the outcomes, judged by whether anyone acts on them.
The Operations Manager
Owns crew utilization, work aging, restoration performance. Acts on what the dashboard says. That's the test.
The Compliance Director
Owns audit defensibility. Needs metrics that can be defended back to the underlying event.
The Operations Leader
Sees cross-workbench bottlenecks. Decides where to invest the next dollar: people, tooling, or infrastructure.
The Regulatory Auditor
Reads filtered, source-linked views during filings and outage reviews. Sees the same numbers everyone else does.
Where the numbers come from
Field Ops
Every captured stop, every evidence package, the source events that populate the dashboards.
Storm Response
Incidents, customer impact, restoration timelines, the operational signal behind MTTR and crew utilization.
Network Governance
Disposition events, model corrections, write-back activity, the signal behind data quality metrics.
Pick three metrics your team will act on.
We'll wire them to the underlying operational events. If the dashboard doesn't change what someone does on Monday, it doesn't earn the page.