Saved 150 hours a month across 30 projects
Enhanced project efficiency, saving 150 hours per month across 30 projects by optimizing workflows and resource management.
Work carried out: 2015 – 2022

Photo: stevepb / Pixabay 
Photo: anncapictures / Pixabay
150 hours saved a month, across thirty projects
Situation. Across a portfolio of around thirty projects, time was being lost every single month to workflows that had never been optimised and resource management that was uneven — some people underused, some overloaded, work planned differently from one project to the next.
Task. The aim was to make the portfolio more efficient and recover the time that was going missing month after month.
Action. Going through the thirty projects, the workflows and the resource management got worked on together — taking out the bottlenecks, balancing the workloads so the same few people weren’t always the constraint, and standardising how work got planned and run so each project wasn’t its own special case. Thirty projects each losing a bit of time adds up; the fix was mostly about making the good practices consistent rather than inventing anything clever.
Result. The changes saved around 150 hours a month across the portfolio. That’s a recurring monthly saving, not a one‑off — thirty projects running leaner, month in and month out.
Look back at Automated data processing in Python and PL/pgSQL. Or take a look at the full Portfolio.
One piece of a longer record — and it is all on this site.
Every entry is written the same way: the situation, the task, what we did and what changed.

