Pair speed with outcome
Execution dashboards should connect timing to order outcomes. Alongside response-time percentiles, include fill rate, partial fills, rejection reasons, slippage distribution, requotes if relevant, disconnects and unresolved order states. Segment data by instrument, provider, account group and market session.
Use consistent definitions
Every metric needs a documented event boundary, unit, source, aggregation window and exclusion rule. If two dashboards define “latency” differently, their values should not be compared as though they describe the same event.
- Order acknowledgement and fill-response percentiles
- Fill ratio and partial-fill rate
- Positive/negative slippage distribution
- Rejects classified by source and reason
- Provider uptime and stale-price duration
- Unreconciled orders and client-impact incidents
Make alerts actionable
An alert should identify the affected route, likely scope, threshold breached, sample size, recent trend and expected first response. Rate-limit noisy notifications and make sure every high-priority alert has an owner and an operational runbook.
A useful dashboard helps the team choose the next action. A wall of numbers without context only adds noise.
