Run the operating week before it runs you.
A working control system for the decisions senior operators are hired to own: capacity, service, portfolio value, cross-functional execution, and weekly performance control.
- Product modules
- 3Control Tower · Portfolio · WBR
- Data path
- CSVImport · local state · export
- Decision horizon
- 13 wkAdjustable from 4 to 26 weeks
- Black-box scoring
- 0Every formula is published
- No signup
- Local working state
- Downloadable artifacts
- Transparent assumptions
Working dataThe studio opens with demonstration data. Imported CSV data and edits persist only in this browser until the visitor resets the studio or clears local storage.
Product boundaryThe studio structures capacity, portfolio, and weekly-review decisions. It does not validate source data, authorize financial commitments, or replace accountable executive judgment.
Convert demand, capacity, quality, and backlog into a controlled 13-week plan.
- Secure 855.8 additional effective units per week to hit the target inside the horizon.
- A one-point productivity gain creates approximately 931.1 units of weekly output.
- A one-point quality-yield gain returns approximately 897.7 units of weekly output.
- Capacity buffer is 0.7%; the operating guardrail is 5%.
- The backlog target misses the 13-week planning horizon.
- Quality yield is below the 98% control threshold and is consuming effective capacity.
Model boundary: The forecast assumes stable weekly demand and effective output across the selected horizon. It deliberately excludes mix, shift calendars, hiring lead times, and site-level constraints until operating data is imported and validated.
Force strategy, value, readiness, and delivery risk into one funding decision.
| Fund | Initiative / owner | Value $M | Invest $M | Confidence | Readiness | Urgency | Risk | Priority | Remove |
|---|---|---|---|---|---|---|---|---|---|
| YES | 84 | ||||||||
| YES | 83 | ||||||||
| YES | 63 | ||||||||
| — | 49 |
Mobilize now
Resolve dependencies
Build readiness
No funded initiative in this readiness band.
Published prioritization: 30% value efficiency + 20% confidence + 20% readiness + 20% urgency + 10% delivery-risk adjustment. Funding follows score order inside the investment envelope. This is an executive challenge mechanism, not an NPV or resource-level project plan.
Turn metrics into a decision cadence—with owners, thresholds, and closure.
Cost per completed unit and Backlog are outside control. Service compliance, Cost per completed unit, Backlog, Quality yield, Capacity coverage are moving in the right direction. Leadership should close the open decision with the largest service or capacity consequence before the next review.
| Status | KPI / owner | Actual | Target | Prior | Direction | Unit | Trend | Remove |
|---|---|---|---|---|---|---|---|---|
| amber | improving | |||||||
| red | improving | |||||||
| red | improving | |||||||
| amber | improving | |||||||
| amber | improving |
Control logic: A KPI is controlled at target, on watch within 5%, and off track beyond 5%. Directionality is explicit for every metric. The exported memo converts the scorecard into an executive narrative and action log without a black-box model.
Not a portfolio claim.
An inspectable operating mechanism.
The studio turns the capabilities normally buried in a résumé into a working system a COO, transformation leader, or hiring panel can interrogate directly.
Self-service operating analytics
Import a weekly CSV, reconcile demand and effective capacity, and expose the gap before it becomes a customer or cost event.
Capacity and scenario planning
Model demand shock, productive utilization, quality loss, flex capacity, backlog burn, and target timing over a 13-week horizon.
Portfolio and benefits governance
Challenge value, investment, confidence, readiness, urgency, and delivery risk inside a visible prioritization rule and funding envelope.
WBR operating mechanisms
Convert KPIs into thresholds, trend signals, named owners, decisions, due dates, and an exportable executive review memo.
Business-to-technical translation
The import schema, calculation logic, state model, and outputs make the product requirements inspectable instead of merely described.
Data ownership by design
The working state remains on the visitor’s device. No operating data is transmitted by the studio, and every output can be exported.
The demo is generic. The operating architecture should not be.
Luna Sol adapts the data model, decision thresholds, owners, integrations, and review cadence to the way your operation actually creates value and risk.