Optimize This

The Output Report does not just name your constraint. Optimize This hands the finding straight to PM Optimizer as a ready-made experiment, already pointed at the problem, so the road from “here is what is holding you back” to “here is the best fix” is one click long.

Three ways in

• The Overview’s Your constraint block: Optimize This Constraint.
• The Bottlenecks tab’s top wait point: Optimize This Wait Point.
• The rows of the report’s Experiments tab, one per suggested study.

Each starts from a different finding, and the experiment it builds is shaped by that finding.

It picks the levers for you

The finding runs through a diagnosis first, built on the run’s own evidence: how hard the step and its resources worked, whether it was blocked, how full its queue ran, and when the pile-ups happened. The diagnosed cause picks the levers. A step starved of staff gets the resource’s quantity, coupled with the capacity that would bind the extra hands. Mistimed coverage gets shift patterns to compare. An extra server rides along as an alternative where one could plausibly help.

Two things are never touched: your times and your arrivals. How long the work takes and when demand shows up are facts you declared about the process. The experiment changes how the work is handled, not the work itself.

An unsaved draft, measured against today

The experiment arrives on Define as an unsaved draft, with a Started from caption naming the finding and the report it came from. It is yours to edit like any experiment: add or remove factors, change the responses, tighten a range. Cancel discards it without a trace; Save Experiment keeps it with the model.

Before anything is searched, today’s configuration is run a few times to measure your current output honestly. That measurement becomes a limit: a floor under throughput, so a configuration that eases the wait by quietly doing less work can never win.

Screened, then searched

The screening probes run on their own as the draft arrives, and factors that barely move the result are unticked for you, nothing deleted. The design is set to the Smart Optimizer with its automatic replications, and the footer prices the run from the screening it just watched. Review it, adjust what you like, and press Save & Run Experiment. From there it is an ordinary experiment: a live run, a ranked result, and a winner you can save as a scenario.