Process OptimizationThe process is slow and nobody agrees on why.
Find the cause with statistics rather than opinion, test the fix, then measure it.

How it works
Process Optimization, on the real screen
Everyone in the room has a theory. Fishbone and five whys get the theories written down, then hypothesis tests, ANOVA and regression say which of them the data supports. Design of experiments tests a change before it is rolled out, and a pilot plan template turns the result into something you can actually run.
Lives at /dataforge once you are signed in.

In the box
What is in the box, and what you leave with
What is in the box
- Fishbone and 5 Whys
- Hypothesis tests, ANOVA and regression
- Design of experiments
- Monte Carlo simulation
- Pilot plan template
What you leave with
- A cause supported by a test, not a vote
- An experiment design and its result
- A pilot plan
- A before and after on the same chart
Further in
What is blocking the phase, and what the numbers say today
Phase coaching drawer on a project: Improve is 52% ready, the one thing blocking the phase, the gate date and evidence, and what the numbers say today.

The agents
The agents that do this work
Product screen, demo data
The method
How the work is done
DMAIC
Define, measure, analyze, improve, control, with a gate between each.
- Project workspace
- Five tollgates
- Charter template
- Capability study
- Control plan
A3
One page that carries the problem, the cause, the plan and the result.
- A3 template
- Fishbone
- Pareto
- Pilot plan
Root cause analysis
Get past the symptom to the thing that is actually causing it.
- Fishbone
- Five whys
- Pareto
- Multi-vari study
- Regression
Other problems
The other five
- Value & ROIWe cannot show what the improvement work returned.
- Continuous ImprovementIdeas come in and nothing happens to them.
- QualityDefects reach the customer and we find out late.
- LeanThere is waste everywhere and no system for removing it.
- Operational ExcellenceImprovement happens in pockets and never becomes how we work.
Process Optimization
See it on your own data
Thirty minutes. Bring a spreadsheet, and leave with the analysis and the documents it produced.

