Capability
Performance transformation
Resolve the operating mechanism behind unstable service, cost, quality, or throughput.
Operating objective
The operating decision this capability is built to support.
Leadership questions
Questions the work must answer.
Which mechanism is actually limiting flow or service?
What is the economic cost of delay, rework, and queue growth?
Which countermeasure can be tested without destabilizing the operation?
What controls show whether recovery is durable?
What the work includes
Operating truth
Reconcile reported performance with workflow, queue, quality, and frontline evidence.
Current-state fact base
Metric reconciliation
Evidence gaps
Constraint and economics
Form a falsifiable constraint hypothesis and quantify the consequence of leaving it unresolved.
Constraint tree
Value-at-stake model
Test plan
Recovery architecture
Sequence countermeasures, capacity decisions, owners, and governance into an executable path.
Recovery roadmap
Capacity and flow model
Control cadence
Decisions unlocked
What changes first
What capacity is truly required
Which risks must be controlled
How leadership will verify recovery
Related work and thinking
PSA backlog stabilization
Case study ? completed advisory work
A recovery operating system built during a record grading backlog.
/work/psa
Backlog Recovery Model
Decision product ? firm method
Model the capacity, variability, and timing behind a recovery commitment.
/tools/backlog-recovery-calculator
Validate constraints before staffing
Operating brief ? firm method
A practical sequence for testing the mechanism before adding resources.
/insights/validate-constraints-before-staffing
Evidence boundary
What this record can support.
The PSA case demonstrates this problem class through completed advisory work and separately labeled public operating evidence. Public outcomes are not presented as solely attributable to Luna Sol.