Measure before you change
We start with a shared description of the process and its metrics, such as lead time, error rate, cost or customer satisfaction. Using the DMAIC method from Lean Six Sigma, we narrow down the problem, check causes against data and agree on measures whose effect can be measured later.
Portfolio, product and organisation
Michael Schneider also supports companies with portfolio and product decisions, market launch and pricing, and collaboration between business units, procurement and customer service.
Data and software to match
Where processes produce data, we analyse it with statistics and Python. If needed, we build tools that keep improvements in place day to day, such as reports, dashboards or automated checks.
What our work can deliver
- Process description with metrics
- Root-cause analysis following DMAIC
- Action plan with measurement points
- On request: analyses and tools in Python