Our PMO is currently struggling with severe resource bottlenecks. We have several high-priority digital transformation projects running simultaneously, and the same lead developers are over-allocated across all of them. When we try resource levelling to balance the load, our project timelines slip significantly. How do you balance resource constraints without pushing out your go-live dates?
3 answers
This makes sense for internal teams, but how do you apply these levelling techniques when you are dealing with external vendors who have their own schedules?
We started using AI-driven PM tools that suggest the best resource based on skill sets and historical velocity, which takes the guesswork out of levelling.
I agree, AI tools are great for identifying hidden capacity that a human PM might miss when looking at a complex spreadsheet or Gantt chart.
The key is to stop treating every project as "Priority 1." In my experience, you need a clear governance framework that ranks projects based on strategic ROI. Once you have a priority list, you apply resource levelling to the top-tier projects first. For the lower-tier projects, we started using "Resource Buffers" or contingent staffing to fill the gaps. We also implemented a weekly resource synchronization meeting where we look at utilization rates across the entire portfolio. If a dev is at 110% capacity, we proactively move a task to someone else or adjust the scope of a lower-priority milestone immediately.
Jeffrey, dealing with vendors requires a shift toward "Outcome-Based" contracts rather than hourly ones. In our setup, we share our resource forecast with vendors three months in advance. We treat their lead consultants as "Named Resources" in our capacity plan. If they can't meet the levelling requirements, our contract has a clause that allows us to bring in a secondary partner. You have to integrate vendor capacity into your internal Resource Management Office (RMO) view for it to work.