For most resource managers, a key part of the role is giving leadership the numbers they ask for – utilization, capacity, forecasting. But sending the data is only the baseline.
The real value comes from uncovering the story within the data – because there is always a story to tell.
In Dayshape’s recent live workshop, Mastering resource management data and storytelling: Turning insight into influence, Christine Robinson, Strategic Advisor to Dayshape, and Amanda Marshall, Senior Director, Global Capacity and Resource Management at Grant Thornton US, explored how resource managers can move beyond reporting operational data and start using it to influence better business decisions.
The session focused on the power of resource management data – not just as a reporting tool, but as a source of operational insight that can help leadership make more strategic decisions around revenue, delivery, and talent.
Here are seven practical ways resource managers can start making that shift – based on the key lessons and examples shared in the workshop.
For many resource managers, the role begins with providing the numbers leadership asks for – utilization, chargeability, capacity, forecasting.
That foundation matters. But on its own, it rarely changes decisions.
One of the clearest messages from the workshop was that reporting is baseline. The real value comes from adding interpretation and context. Leadership does not just need the report. They need to know what is changing, what feels off, what might happen next, and why it matters.
Christine reflected on one of the earliest lessons in her career: simply sending the data positioned her as more transactional than strategic. The shift came when she started pairing the numbers with a point of view. That could be as simple as explaining what is driving a sudden change in availability, rather than just reporting that it happened.
That is where resource management starts to become strategic – not when it reports the numbers, but when it explains what they mean.
One of the clearest themes from the workshop was that the most valuable resource management insight often sits below the surface of headline reporting.
The workshop drew on findings from Dayshape’s Inside the Leadership Growth Agenda research, based on senior leaders at professional services firms in the UK and US with more than 750 employees. One of the standout findings was that 42% of firms missed their revenue targets last year – with internal issues like inaccurate forecasting, resourcing constraints, and inefficient planning all contributing.
At the same time, leaders were clear on what they most want better visibility into:
There is also a clear disconnect. 86% of leaders believe their talent is being used to its full potential, yet only 69% say they have clear visibility into capacity.
That is the visibility gap.
It tells us something important: leadership often knows performance is under pressure, but not always where or why. This is where resource managers can add value – by surfacing the blind spots that are easy to miss from a higher level.
As Amanda pointed out during the session, the challenge is often not a lack of information, but over-reliance on the metrics that are easiest to report and understand – while other data is harder to access, trust, or connect.
Headline metrics matter. But their value increases significantly when resource management adds the context behind them.
In many firms, a familiar set of metrics tends to shape how performance is viewed:
These are important. They are the headline numbers used to track performance and guide decisions. But they tend to tell you what has happened, or what is planned. They do not always explain why something is happening, or what is coming next.
That is where resource managers can go further.
A revenue forecast might look healthy until you bring in pipeline quality. Utilization might appear strong until you look at leverage, offshore mix, or whether the right levels are carrying too much of the load. Availability might suggest room to deploy, but only until you understand the skills profile or what work is actually coming.
As Amanda put it during the session, “The power is in different pieces of data looked at together to see what the actual story is.”
That is one of the most practical mindset shifts resource managers can make. Don’t stop at the number leadership is already looking at. Ask what else needs to be layered in to make it meaningful.
Utilization is one of the most familiar metrics in professional services – and one of the easiest to misread.
One of the strongest concepts in the workshop was the utilization mirage – the idea that teams can look busy and numbers can look healthy, while deeper issues are building underneath.
That might mean:
In other words, a healthy-looking utilization number can hide a less healthy operating reality.
This is where resource managers add real value. A single metric may suggest things are fine. But once you layer in context, the picture often changes. High utilization at the wrong level can point to poor leverage. Offshore teams running too hot can undermine expected margin benefits. A team that looks fully deployed may actually be under strain.
Amanda reinforced this in the discussion, noting that if utilization is high at senior levels, leverage may be off and margin could be leaking. If offshore teams are over-utilized, firms may not be getting the return they expect. In both cases, the headline number can look fine while the underlying picture says otherwise.
A useful habit to build is this: when utilization looks strong, don’t stop there. Ask what might be sitting below the surface.
The strongest resource management insight rarely comes from one metric on its own.
It comes from following the thread until the full story starts to emerge.
Rather than stopping at one metric, high-impact resource managers use one signal to lead them to the next question. What is this telling us? What does the next data point say? And what happens when those pieces are brought together?
That might mean starting with a utilization issue, then looking at availability, then drilling into specific individuals or teams, then checking pipeline, skills mix, or budget performance to understand what is really driving the problem.
Christine built on this by sharing a lesson from earlier in her career: looking at each report separately and simply restating what it said was not analysis. It was repetition. The real work starts when resource managers connect the dots and explain what the data is actually saying.
Amanda also made an important point here: if you are preparing insight for leadership, you should almost go on a journey with the data yourself first. Keep asking what the next piece is saying until you feel confident you have the full story.
That matters for two reasons. First, it makes your insight stronger. Second, it means you are far better prepared when leadership challenges the data.
If you want to raise a flag with confidence, you need to know what sits behind it.
Past data becomes much more valuable when it helps you predict what is likely to happen next.
The workshop spent a lot of time on variance – the gap between what was expected to happen and what actually happened. But the key point was not just to report the variance. It was to use it.
That means asking:
This is where rolling projections become especially useful. Christine described a simple but highly practical approach: combine actual hours with scheduled work to build a view of where performance is likely to land if nothing changes.
That allows a resource manager to say:
If nothing changes, this is where we will land.
And from there, the conversation becomes much more valuable:
That is where the role starts to shift – from reporting what happened to helping shape what happens next.
Amanda added another important lens here: look for the trends that appear before leadership notices. Whether it is bench building in a certain area, utilization slipping, or patterns in attrition, these are often the early signs that something bigger is building.
The workshop also brought in an important human point. Sometimes the action is not complex. If the data shows a team has been under sustained pressure, surfacing that and prompting a practice leader to acknowledge it can make a real difference. A quick thank you will not solve structural workload issues, but it can help people feel seen and supported while bigger decisions are being worked through.
One of the biggest barriers to better resource management insight is not intent – it's capacity.
One reason this kind of analytical, forward-looking, flag-raising work does not happen more often is simple: many resource managers were never taught to work this way, and many teams are too buried in coordination work to create the space for it.
That is where technology becomes useful – not because it replaces human judgment, but because it creates more room for the work that actually drives impact.
The workshop closed by looking at what is already possible with today’s resource management technology, including:
Christine described this as an “always-on intelligence layer” – something that can keep scanning for patterns and surfacing risks in the background, long before they become obvious in static reports.
Amanda echoed this, noting that technology is creating an opportunity for teams to spend less time gathering data and more time using it to make faster, more predictive decisions.
And Ellie Young, Senior Product Manager at Dayshape, added an important forward-looking perspective during the Q&A: the teams that will get the most from AI are the ones that already understand and trust their data. In the near term, AI will increasingly help surface repeatable insights faster. But very quickly, the opportunity becomes bigger than that – moving from spotting problems to solving them earlier.
That matters because the more time resource managers spend gathering, cleaning, and chasing data, the less time they have to interpret it. Better technology can help shift that balance – giving them more time to focus on analysis, decision support, and influence.
And that is ultimately the goal.
What came through clearly in both Christine and Amanda’s real-world insights during the workshop was this: data matters, but the real power for resource managers lies in using it to raise the right questions, challenge assumptions, and surface what needs attention earlier.
That is what makes the role more influential.
And it's also what makes resource management far more than a reporting or coordination function. At its best, it becomes an operational intelligence layer for the firm – helping leadership understand what is really happening beneath the surface.