The Staffing Gap: Why Resource Management Teams Can't Do What They Already Know They Should

John Quirk
Feb 16
5 min read

The industry knows what great staffing looks like. So why isn't it happening? New research from 50 organizations reveals the gap between aspiration and reality — and what it's costing.

Resource managers aren't confused about what good staffing looks like. They can describe it with remarkable clarity. When we asked 50 organizations what factors would be most helpful in compiling a project team in an ideal world, the answers went far beyond the basics:

IDEAL FACTORS FOR BUILDING A PROJECT TEAM

96%	Technical skills and availability
76%	Previous client and industry experience
70%	Soft skills and team synergy
70%	Employee development opportunities
66%	Billing and rate cost optimization
59%	Performance ratings and delivery impact

Read that list again. Seven out of ten resource management professionals told us that soft skills, team synergy, and employee development goals should be factors in staffing decisions. Nearly six out of ten want to factor in actual delivery performance — not just whether someone has the right certification on their resume, but whether they've consistently delivered results on past projects.

This is not a profession that lacks vision. These are people who understand, deeply, that building a great project team requires more than matching keywords to job descriptions.

So, here's the uncomfortable question: if the industry knows what good staffing looks like, why isn't that what's happening?

The gap between aspirations and reality

When we asked those same organizations what data they currently use when staffing a project, the picture narrows dramatically:

WHAT ORGANIZATIONS ACTUALLY USE TODAY

97%	Technical skills and availability
73%	Previous client/industry experience
58%	Soft skills and team synergy
56%	Billing rate vs cost
55%	Employe development goals

The drop-off tells the story. Skills and availability? Nearly universal — that's the easy part, the minimum viable staffing decision. But team synergy drops 12 points from aspiration to reality. Performance ratings and delivery impact — the factor 59% said would be most helpful — doesn't even appear as a standalone category in current practice.

The gap isn't about knowledge. It's about capability. Resource managers know what they should be considering. They just don't have the tools, the data, or the time to actually do it.

The time tax

Our research found that 44% of resource management professionals spend 2–5 hours per week just searching for internal information about people, skills, availability, and project history. Another 18% spend 6–10 hours. And a combined 26% spend more than 10 hours per week — in some cases, more than 15.

44%

Spend 2-5 hours/week searching for data

18%

Spend 6-10 hours/week searching for data

26%

Spend 10+ hours/week searching for data

That's not strategic work. That's data scavenging. When you're burning a quarter or more of your work week just trying to answer "who's available and what can they do?", you don't have bandwidth to think about personality dynamics, team synergy, or long-term development alignment. You grab the person who checks the skills and availability boxes, and you move on to the next request.

The tools aren't helping. Despite 79% of organizations having a PSA, PPM, or RPM platform in place, 70% are still using spreadsheets for resource management. Nearly half (48%) rely on email and informal communication. These aren't organizations that haven't invested in technology. They've invested — and the technology still isn't giving them what they need for the decisions that matter most.

Measured on the wrong things

There's a deeper structural issue reinforcing the gap: the metrics organizations use to evaluate resource management success are misaligned with what actually drives project outcomes.

WHAT RM ORGANIZATIONS ARE MEASURED ON

91%	Utilization rates
37%	Project delivery on time/budget
27%	Client satisfaction scores
14%	Employee satisfaction/retention

Let that sink in. The industry overwhelmingly measures itself on whether people are busy — not whether they're on the right projects, working with the right teammates, delivering outcomes that matter to clients, or growing in their careers.

When utilization is the primary scorecard, every incentive points toward filling seats fast. Not filling them well. Not building teams that will collaborate effectively. Not considering whether a consultant's development trajectory aligns with the engagement. Just: are the bodies in the chairs? Is the utilization number green?

This creates a self-reinforcing cycle. You're measured on utilization, so you optimize for speed. You optimize for speed, so you default to skills-and-availability matching. You default to skills-and-availability, so you never build the infrastructure to evaluate team chemistry or delivery impact. And because you don't have that infrastructure, you can't prove that better staffing decisions would improve outcomes — which means you keep getting measured on utilization.

The 63% of organizations that don't measure project delivery on time and budget aren't negligent. They're trapped in a system that rewards the wrong behavior.

What the profession is asking for

The research revealed something else that should give every services leader pause: when asked about their biggest challenges, resource management teams didn't point to exotic problems. They pointed to fundamentals:

BIGGEST RESOURCE MANAGEMENT CHALLENGES

52%	Determining who is actually available
51%	Measuring impact beyond billable hours
48%	Finding consultants with the right skills
43%	Getting quick answers to complex questions

Half the profession can't reliably determine who's available. Half can't measure impact beyond hours billed. These are foundational capabilities — and the existing toolset isn't solving them.

At the same time, there's a clear appetite for a different approach. 69% of respondents expressed interest in using a natural language interface — something like ChatGPT — to query their organization's resource management data. A third said it would solve a major problem. When we asked about AI-powered capabilities, predictive resource planning, automated skills tracking, and intelligent team composition recommendations ranked highest.

This isn't an industry that's resistant to change. It's an industry that's been waiting for the right kind of change.

Closing the gap

The research paints a picture of a profession in transition. Resource management leaders have evolved their thinking far beyond the "butts in seats" era. They understand that staffing decisions should consider team dynamics, individual performance trajectory, development alignment, and a half-dozen other factors that predict whether a project team will succeed or struggle.

But their tools, their data infrastructure, and their organizational metrics haven't caught up. The gap between what resource managers know they should be doing and what they're able to do in practice represents both the industry's biggest challenge and its biggest opportunity.

Closing that gap doesn't require more spreadsheets, more columns in a PSA filter, or more hours in the day. It requires a fundamentally different approach — one where the technology meets the sophistication of the people using it.

The good news: the profession is ready. The question is whether the technology will catch up.

Get the Full Research Report

The complete "Next Generation Resource Management Solutions" study includes 18 questions, detailed breakdowns, and actionable insights from 50 organizations.

You can download it here.

Source: "Next Generation Resource Management Solutions" — a joint research study by the Resource Management Institute and ProServe Metrics (2025). 50 organizations surveyed across professional and consulting services, enterprise IT, product development, engineering, marketing agencies, and accounting/advisory firms.