What does working a problem with PrimeLeaper actually look like?
Your team knows the process. We stay with the problem until the evidence supports the next decision — and we write down what we learn on the way, so nobody has to find it again.
“What exactly is happening?”
Write down what should be happening and what is actually happening. Set the baseline, what it is costing, where it shows up, and where it stops.
You end up withA clear problem statement and a baseline.
“What do we actually know?”
Pull the process data, observations, failure history, measurements, maintenance history, the difference between good and bad conditions, and everything your team has already tried. Then sort it.
Past attempts get captured the same way every time: what we thought then → what was tested or changed → the conditions → the result → what it taught us.
You end up withAn evidence map and a history of what was already tried.
“What could explain it?”
Lay out the explanations still standing. Each one gets the same three columns, so nothing survives on opinion alone.
You end up withA working model of causes that changes as evidence arrives.
“What don’t we know, and what should we check next?”
Find the one unknown that is blocking the next decision. Then pick the smallest useful check, analysis, observation, or experiment that shrinks it. Small and soon beats big and late.
You end up withThe next useful test.
“What does the evidence now justify?”
We organize and interpret the evidence. The people closest to the process bring the judgment, and the call is one of five: act, test again, gather more evidence, drop an explanation, or watch it.
You end up withA decision the evidence supports.
“What should nobody have to rediscover?”
Keep what happened, what was learned, what changed, what should be watched, and what should trigger action next time — in the way the process actually runs.
You end up withA Problem Recovery Map, and a process that is harder to break the same way twice.
We repeat this loop until the evidence is strong enough to support the next decision. Every pass through it rules something in, rules something out, or sharpens the question.
AI does not diagnose the problem on its own and never touches the process. It prepares the work so the people who know the process can decide sooner.
The Problem Recovery Map shows how the problem was worked, what the evidence supported, and how your team should respond if something similar happens again.
Depending on the problem, the map may include
Not every job produces every piece. We leave what helps, where it helps.
Solve this problem today. Start farther ahead on the next one.