OpsIQ One · v12.0 · Decision Pattern Library
Operational patterns the organization already knows how to solve.
The library names every recurring problem, how to detect it, what historically caused it and what worked to recover. The next time it appears, the organization is not starting from zero.
Patterns10 indexed
CoverageVolume · staffing · quality · CX · WFM
RefreshUpdated on every closed action
Pattern · v12.0
Unexpected demand spike
≈ every 3 weeks · concentrated Mon/Tue
Occurrences (LTM)
17
Avg recovery
1.4 days
Detection rule
Volume z-score > 2σ vs. 8-week baseline for 60 min.
Typical causes
- · Marketing campaign not pre-notified
- · Outage on adjacent channel
- · Seasonal billing cycle
Most effective responses
- Surge capacity 10–15% on impacted LOB92% success
- Re-route to overflow vendor78% success
- Open additional self-service deflection64% success
Lessons learned
- · Always confirm marketing calendar 7 days out.
- · Overflow vendor takes 22 min to ramp — pre-warm at 1.5σ.