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Published January 7, 2025 . 8 mins read

Storytelling with Data for Project Managers: Making Data Work for the Job Site & Beyond (Pt. 1)

As a construction project manager, you’re no stranger to juggling tight schedules, budgets, and teams. Amid this complexity, data is your most powerful tool for making informed decisions, spotting issues before they escalate, and driving project success. But raw numbers aren’t enough—data storytelling bridges the gap between data and action, helping you turn insights into impact.

This three-part blog series will explore how project managers can harness data storytelling to uncover insights that lead to cost savings, drive decisions, and foster collaboration.

We will start this series by discussing how every project tells a story and why data clarifies it. Your projects are ever-changing narratives, from the initial bid to the final delivery. Data storytelling allows you to uncover the patterns and insights behind the numbers, whether it’s pinpointing why schedules are slipping or tracking cash flow for better forecasting. With the right story, you can make your data resonate with stakeholders, inspire your team, and drive smarter decisions on-site and off.

For instance:

Bruce Orr
Chief Data Scientist & CEO,
ProNovos

Without storytelling:

“We’re 10% over budget this quarter.”

With storytelling:

“We’re 10% over budget due to increased subcontractor rates. We can mitigate this by revisiting our labor allocation plan for the next phase.”

Why Project Managers Need Data Storytelling

As a project manager, you rely on data daily—from job cost reports, change orders, and schedule updates to safety metrics and insights captured through daily reports and documentation. But presenting the data isn’t enough; crafting a compelling story ensures everyone, from field teams to executives, understands the message and takes the right action. Just as blueprints guide construction, data stories help teams:

Understand trends

Address inefficiencies

Plan for future success

Data stories transform raw numbers into actionable insights in an industry where time, cost, and quality are critical. They help you:

Gain stakeholder buy-in for key decisions

Ensure your bonus is in the bag

Streamline communication across teams, reducing misunderstandings

Highlight risks and opportunities before they impact the project

The Message: What’s Happening and Why Does It Matter?

The core of any data story is the insight. Start by identifying what the data tells you about your project and what action is needed. For example:

Budget Performance:

“The project is tracking 12% over budget due to higher-than-anticipated material costs caused by recent supplier price increases. If this trend continues, the total project costs will exceed the approved budget by $250,000. To mitigate this, we can renegotiate supplier contracts or explore alternative vendors for the next phase.”

Financial Health:

“Our projected cash flow shows a shortfall in two months. Adjusting payment terms with suppliers can help.”

A clear, actionable message keeps your team focused on solving the correct problems.

The Audience: Tailoring Your Story

Each stakeholder in your project has unique concerns and priorities. Understanding your audience ensures your message lands effectively:

Field Teams

Need actionable insights for day-to-day tasks.

“The delivery delay means we’ll need to resequence framing work.”

Executives

Require high-level summaries for decision-making.

“We’re trending 8% under budget, allowing us to consider additional scope.”

Clients

Appreciate updates in layman’s terms.

“The recent rain delay won’t affect the final delivery date, thanks to adjustments in the schedule.”

By framing your message appropriately, you ensure everyone gets the necessary information without being overwhelmed by unnecessary details.

The Context: Connecting the Dots

Context transforms raw data into a meaningful story. It answers questions like: Why is this happening? How does it compare to expectations or benchmarks? What’s the bigger picture?

For example:

Historical Data

“Change orders increased 15% this quarter compared to last year, reflecting a spike in material costs.”

Targets

“We’re currently 5% under our budgeted labor hours, exceeding our efficiency goals.”

Benchmarks

“Our safety incident rate is 30% lower than the industry average, thanks to increased training sessions.”

Providing context ensures your story is not only understood but also actionable.

An Example: Telling the Story of a Delay

Imagine your project is delayed by 15 days. Instead of just reporting the delay, use data storytelling:

Message

“The project is delayed by 15 days due to a late steel delivery.”

Audience

Field teams

“We’ll adjust the work sequence to focus on foundation tasks while waiting for steel.”

Executives

“We’re working to recover the delay by adding an additional crane to expedite steel placement.”

Clients

“The delay is being managed and won’t impact the overall project delivery date.”

Context

“The delay aligns with regional supply chain challenges but remains 10% below the average delay seen in similar projects.”

Tying It All Together

Data storytelling is essential for project managers looking to elevate their impact. Turning raw data into actionable stories allows you to identify key insights, tailor your communication to the right audience, and provide the context to drive informed decisions. Whether securing stakeholder buy-in, addressing project risks, or ensuring smooth communication across teams, mastering the art of data storytelling empowers you to lead projects with clarity and confidence.

Ready to Turn Insights into Action?

ProNovos helps project managers go beyond spreadsheets, turning raw data into stories that drive smarter decisions and better results. Schedule a time to see how ProNovos can help you deliver data-driven success for your projects.