Data storytelling for leaders: How to turn skills data into business impact

If you're responsible for building tech training programs, launching learning initiatives, and reporting on metrics, you understand the inherent value of upskilling teams. Yet when business leaders discuss growth, innovation, digital transformation, AI adoption, or organizational risk, you may not be invited to the table. 

Many teams responsible for upskilling find themselves in this difficult position. They know workforce capability can make or break strategic initiatives, but they struggle to connect their work to the outcomes executives care about most.

That’s where data storytelling comes in. Data storytelling allows you to connect upskilling to business goals in a way that makes executive leaders stop and listen. Here’s how to build your data skills and create a compelling narrative with your learning data.

Most organizations have a large amount of learning data. Learning and development leaders (or whoever’s responsible for upskilling) can tell you how many people enrolled in a course, how many hours they consumed, how many certifications they earned, or how assessment scores changed over time. 

The challenge is turning this data into influence.

Executives don't invest in learning because people completed training. They invest because they believe developing workforce capabilities will solve business problems.

Effective data storytelling helps leaders understand the relationship between workforce capability and business performance. It transforms learning metrics into a compelling narrative about risk, readiness, and opportunity.

Many L&D leaders begin an upskilling initiative by asking, What skills do we need to develop?

This is a necessary question, but starting here can lead organizations down the wrong path. Instead, the first question you need to ask is, What business problem are we trying to solve?

Take a look at the difference between a story that focuses on skills and one that focuses on solving a business problem.

Looking at these examples, ask yourself:

• Which story is more likely to result in additional investment?

• Which story is more likely to earn your team a seat at the strategy table?

• Which story would you rather tell to your executive team?

When you can clearly demonstrate how workforce capabilities accelerate strategic initiatives, reduce risk, improve productivity, or create competitive advantage, the conversation changes. Learning is no longer viewed as a cost center. It becomes a strategic lever for achieving business goals.

The most successful leaders connect skills to outcomes executives care about. Before launching any upskilling initiative, ask:

• What business challenge are we trying to address?

• What strategic objective does this support?

• How will the organization be different if we succeed?

• What story do we hope to tell a year from now?

The answers to these questions will serve as the foundation of your data story.

Learning metrics tell us whether people participated. Behavior metrics tell us whether people changed as a result of learning. And business metrics tell us whether the organization benefited from learning and development.

Using all three types is key to creating an effective story about the value of learning and development.

Many organizations spend most of their time measuring the first category. This includes metrics like:

• Course completions

• Learning hours

• Certifications earned

• Assessment scores

• Platform engagement 

These metrics are useful, but they answer only one question: Did learning happen?

For executives, that’s not enough. 

Executive leaders are asking a different question: Did anything change because of learning?

That's where behavior metrics become important. Behavior metrics might include:

• Increased use of new technologies

• Participation in strategic initiatives

• Application of newly developed skills

• Knowledge sharing and mentoring

• Increased confidence in performing critical tasks

• Manager observations of changed performance

These metrics help answer the question, What are people doing differently today than they were six months ago?

Business metrics are the final piece that connect workforce development to organizational outcomes.

They might include:

• Faster delivery timelines

• Reduced reliance on contractors

• Improved retention

• Increased internal mobility

• Reduced cybersecurity risk

• Greater innovation capacity

These metrics answer the question executives care about most: How is learning helping the organization achieve its goals?

I know half of you are saying, “But JB, what if I already started upskilling? I don’t know how to connect it to business outcomes.”

Let’s say your program launched months ago. You've already collected learning hours, completions, certifications, assessment scores, and engagement metrics. Now, leadership is asking whether the investment was worth it, and you realize your dashboards don't fully answer the question.

The good news is that you don't necessarily need more data. You may just need to go story hunting.

Some of the most compelling evidence of transformation lives outside of your learning platform. Here are a few examples of how to translate the data you have into a business story for executives.

See the pattern? The learning activity is important, but it should never be the headline. The closer your narrative aligns with strategic priorities and outcomes, the more likely it is that leaders will pay attention.

If your current reporting metrics focus primarily on learning activity, ask yourself some questions to dig a level deeper:

• What capabilities did employees develop?

• What changed because people learned new skills?

• What business problems were those capabilities intended to solve?

The answers to these questions can start your story.

Explore 17 learning and development ROI metrics to track.

Another simple way to look for compelling stories is to use a model of risk, readiness, and opportunity.

Start by revisiting the original purpose of your upskilling initiative. Why did it begin?

Maybe your organization wanted to accelerate AI adoption, reduce cybersecurity risk, improve cloud readiness, increase productivity, or support a major business transformation. Even if the initiative was framed around skills, there was almost certainly a business problem behind it.

Understanding the risk helps you establish why the initiative mattered in the first place. Ask yourself:

• What challenge prompted this investment?

• If nothing changed, what risks would that pose? 

• What strategic objective were we trying to support?

Next, evaluate how your organization’s workforce readiness has changed. Look at:

• Skills assessment results

• Certifications

• Capability evaluations

• Participation in learning programs

• Manager observations

• Evidence of skill application on the job

The goal is to answer one question: Are we more capable today than we were before upskilling began? Readiness is often where learning leaders have more evidence than they realize.

I’ve seen teams measure participation and completion, then move on. The problem with this is that the most valuable part of the story lies beyond engagement metrics.

Ask leaders and employees:

• What are teams doing differently today as a result of their new skills?

• What problems are they solving more effectively?

• What work is happening faster?

• What risks have been reduced?

• What opportunities have emerged?

For example, an organization may have launched an AI upskilling initiative and measured only learning activity. Through conversations with managers and employees, they discover that teams are now using AI tools to automate documentation, create test scripts, summarize meetings, and accelerate research.

Further investigation reveals a 20% reduction in administrative work, creating hundreds of productive hours each month. The story was there all along, but you might have to go digging for it. 

Another real life example is a former client who measured learning hours and number of upskills. Until they went hunting for the story, they didn’t realize that they had also dramatically reduced dependency on third-party contractors and effectively reskilled hundreds of workers that would have been displaced in their workforce reduction. 

In other words, the impact is there if you know where to look.

Learning leaders often wonder how to earn a seat at the strategy table. If you find yourself in this predicament, remember that executives are looking for faster delivery, greater innovation, lower risk, higher productivity, and stronger business performance—not learning metrics.

The most effective learning leaders understand data storytelling. They know how to help leaders understand the relationship between workforce capability and business performance. Sometimes that story starts before the initiative begins, and sometimes it requires going back and uncovering the impact that already exists.

Either way, the goal remains the same: Move beyond reporting activity and start telling the story of transformation. Pluralsight advanced analytics can help you take a data-driven approach to organizational learning. 

As you track success and iterate, consider trying out new upskilling methods like certification challenges, learning cohorts, and curated learning paths. Get the Tech Upskilling Playbook for step-by-step strategies real-world organizations use to upskill their people.