Verification and ROI Layer
CEO question
Has the operating redesign become a measurable business capability?
Scenario context
The redesign is verified by comparing the planned ramp-up with actual operating performance.
In the Sprocket case, the lead-time tolerance curve provides the operating proof beneath the financial curve. The operating measure is the percentage of orders quoted and delivered within the customer’s accepted tolerance band.
The baseline is 58 percent. The redesign plan expects improvement toward 86 percent over six months.
Verification logic
Variance is not treated as noise.
Each variance between plan and actual exposes an assumption being tested under real operating conditions.
Early variance indicates that legacy WIP and local rescheduling behaviour remained stronger than expected.
Mid-ramp convergence shows that redesign adjustments and feedback loops are working.
Final convergence shows that the operating model is stabilising.
Recalibration logic
The learning from execution is used to recalibrate the rule base.
The book identifies the following rule-base adjustments:
release authority was tightened so only constraint-feasible work entered the system
manual schedule overrides above threshold triggered formal design review
tolerance-based quoting replaced average lead-time quoting
WIP thresholds were automated to expose queue drift early
promise-date risk alerts were linked to release adherence and downstream buffer penetration
CEO view
The cumulative ROI curve shows when lead-time compression stops being a redesign cost and becomes a market capability.
The operating curve shows whether that capability is real.
By Month 6, the operating model had converged. By Month 7, the business had recovered its investment.
CFO view
The return is credible because it is tied to operating causality.
Lower WIP releases working capital. Better promise-date adherence reduces expediting and premium freight. Stable release discipline improves throughput confidence.
These are not isolated savings. They are the financial expression of a redesigned flow system.
COO view
The key measure is not average lead time. It is lead-time reliability within customer tolerance.
That distinction exposes the difference between local efficiency and system performance.
As the constraint governs release more effectively, firefighting reduces, handovers improve and the need for compensatory control falls away.
What this layer proves
This layer confirms whether the redesigned operating rules are producing measurable behaviour change and whether that behaviour is converting into financial return.
Verified output
A CEO / CFO / COO value storyboard linking operating behaviour, tolerance adherence, rule-base recalibration and cumulative ROI.