Forecasting models
Estimate demand, production mix, workload, quality outcomes, or capacity before every input is fixed.
Data science and operational analysis
Growth Mindset helps businesses get more from the systems and data they already have, without committing to another enterprise platform or building a specialist analytics team internally.
In recent postharvest work, Growth Mindset built fruit forecasting and line setup software that helped packhouses make better use of their labour and automated equipment during packruns.
Working Knowledge
Data and reports provide an incomplete picture. The people who understand the work often make good decisions despite inadequate tools.
Mass-market software and analytics platforms can be useful, but they are not designed around the specific problems facing the team.
Important planning decisions often depend on novel assumptions and expertise. Growth Mindset brings that working knowledge into the way that teams use technology to make decisions.
What we build
Estimate demand, production mix, workload, quality outcomes, or capacity before every input is fixed.
Compare workable options when labour, equipment, inventory, timing, cost, or business rules affect the answer.
Give teams a controlled place to set assumptions, save plans, and run the same method again.
Turn operating data and model results into reports, exports, or feeds for systems already in use.
Selected work
Growth Mindset's recent company work has focused on packhouse production, where teams need better information before the next run is locked in.
Why Growth Mindset
Growth Mindset is led by Rob Sickorez. Clients work directly with the person clarifying the problem, designing the method, and building the result.
That matters when important detail sits between a business conversation, a spreadsheet, a model, and the finished tool.
Read about Rob SickorezThe business rules, assumptions, and model choices stay connected from the first conversation through to the finished output.
The work can sit beside existing reports, spreadsheets, data sources, and systems instead of replacing them.