Showcase
Here you'll find examples of the content I have written in my capacity as Curriculum Instructional Designer. The examples are fully interactive - so why not have a go!
Data Technician Level 3 - The Value of Data (excerpt)
In this example, I’ve created a fictional brand and a rich scenario to help learners understand the value of data in a real-world setting rather than theory. The detail in the brand and scenario makes the experience feel authentic, encouraging learners to picture themselves within it. This realism prompts a deeper level of thinking, as learners draw on practical reasoning rather than abstract ideas. When the environment feels tangible, their thought process becomes closer to how they’d think in an actual workplace situation. Having created the brand, background, and scenario, I worked with the Multimedia Content Designer to bring the brand to life. In doing so, I left space for them to leverage their talent and creativity as they created the artwork, resulting in a brand that looks and feels real.
For decades, businesses and organisations have collected data, but it's only in recent years that its true value has been widely recognised. Some industries, like finance, retail, and healthcare, have long understood the power of data, using it to track trends, manage risk, and improve customer experiences. Others have been slower to adapt, relying on intuition, experience, or traditional ways of working rather than data-driven insights.
That's changing fast. As technology advances and competition increases, more organisations are realising they need data not just to grow, but to survive. It's no longer just large corporations or tech firms investing in data either. Small businesses, charities, and public services are also seeing the impact it can have. With cloud platforms, automation, and AI making it easier to collect and analyse vast amounts of information, data has gone from being something that might help, to something that's essential.
But technology alone isn't enough. The real power of data comes from how it's used. Organisations don't just need numbers; they need people who understand how to extract value from them. That's why industries of all kinds are investing in data skills, to make sure the insights they collect aren't just stored, but are used to actually drive better decisions.
Why data matters
Most organisations now have access to more data than ever, but that doesn't mean they are using it effectively. Just because data is collected doesn't mean that it's immediately useful in a way that helps people make decisions. In many cases, information is gathered and stored without ever being analysed. In others, useful insights exist but do not reach the right people or are buried in reports that make them difficult to act on.
The organisations that use data well have something in common. They do not just collect and store information. They make sure it is reliable, accessible, and used to drive decisions. Organisations that get this right:
Make faster, more confident decisions because they have clear insights rather than assumptions. Improve efficiency by identifying where time, money, or resources are being wasted. Understand customers better, allowing them to adapt services, personalise experiences, and stay competitive. Manage risk more effectively by spotting patterns and potential problems before they escalate. The way data is structured, analysed, and communicated makes all the difference. When done well, it can unlock real value.
In practice
Lumina Energy is a leading green energy supplier, providing homes and businesses across the UK with 100% renewable power from wind, solar, and hydroelectric sources. The company prides itself on sustainability and efficiency, but recently, it has been facing a major challenge. Fluctuations in energy output at wind farms are making it difficult to predict how much power will be available at any given time.
Maintaining a stable supply is critical. Customers expect reliable access to energy, and Lumina Energy has agreements in place to sell surplus power to the national grid when production exceeds demand. However, despite collecting huge amounts of data from its wind farms, including wind speed, turbine efficiency, and performance across different locations, decision-makers are struggling to act on it.
Reports are being produced, but they are dense and highly technical, making it difficult for senior leaders to interpret key trends quickly. At the same time, the raw data sits in systems accessible only to a handful of technical specialists, limiting its usefulness across the wider business.
What do you think is stopping Lumina Energy from making the most of its data, and what might help it do this?
Recognising the issue, Lumina Energy's data insights team takes action. They develop a predictive analytics model that uses historical weather patterns and turbine efficiency data to forecast power generation more accurately. They also design a live dashboard that presents energy output forecasts in a simple, visual format, making it easier for decision-makers to see expected supply levels at a glance.
Now, instead of reacting to fluctuations after they happen, the company can plan ahead. If production is expected to be higher than demand, they have the opportunity to sell surplus energy to the national grid at the best possible price. If lower production is forecasted, they can adjust distribution to avoid costly shortfalls.
Better forecasting also allows Lumina Energy to flatten peaks in energy demand, making their supply more efficient. When excess energy is expected, they can offer lower electricity rates to encourage customers to shift high-energy activities to these periods, helping to balance supply and demand without increasing overall energy use. When shortages are likely, they can introduce incentives for customers who reduce their energy use, ensuring that demand remains manageable and reducing reliance on backup fossil fuel power sources.
What value do you think this brings to Lumina Energy?
That's changing fast. As technology advances and competition increases, more organisations are realising they need data not just to grow, but to survive. It's no longer just large corporations or tech firms investing in data either. Small businesses, charities, and public services are also seeing the impact it can have. With cloud platforms, automation, and AI making it easier to collect and analyse vast amounts of information, data has gone from being something that might help, to something that's essential.
But technology alone isn't enough. The real power of data comes from how it's used. Organisations don't just need numbers; they need people who understand how to extract value from them. That's why industries of all kinds are investing in data skills, to make sure the insights they collect aren't just stored, but are used to actually drive better decisions.
Why data matters
Most organisations now have access to more data than ever, but that doesn't mean they are using it effectively. Just because data is collected doesn't mean that it's immediately useful in a way that helps people make decisions. In many cases, information is gathered and stored without ever being analysed. In others, useful insights exist but do not reach the right people or are buried in reports that make them difficult to act on.
The organisations that use data well have something in common. They do not just collect and store information. They make sure it is reliable, accessible, and used to drive decisions. Organisations that get this right:
Make faster, more confident decisions because they have clear insights rather than assumptions. Improve efficiency by identifying where time, money, or resources are being wasted. Understand customers better, allowing them to adapt services, personalise experiences, and stay competitive. Manage risk more effectively by spotting patterns and potential problems before they escalate. The way data is structured, analysed, and communicated makes all the difference. When done well, it can unlock real value.
In practice
Lumina Energy is a leading green energy supplier, providing homes and businesses across the UK with 100% renewable power from wind, solar, and hydroelectric sources. The company prides itself on sustainability and efficiency, but recently, it has been facing a major challenge. Fluctuations in energy output at wind farms are making it difficult to predict how much power will be available at any given time.Maintaining a stable supply is critical. Customers expect reliable access to energy, and Lumina Energy has agreements in place to sell surplus power to the national grid when production exceeds demand. However, despite collecting huge amounts of data from its wind farms, including wind speed, turbine efficiency, and performance across different locations, decision-makers are struggling to act on it.
Reports are being produced, but they are dense and highly technical, making it difficult for senior leaders to interpret key trends quickly. At the same time, the raw data sits in systems accessible only to a handful of technical specialists, limiting its usefulness across the wider business.
What do you think is stopping Lumina Energy from making the most of its data, and what might help it do this?
Recognising the issue, Lumina Energy's data insights team takes action. They develop a predictive analytics model that uses historical weather patterns and turbine efficiency data to forecast power generation more accurately. They also design a live dashboard that presents energy output forecasts in a simple, visual format, making it easier for decision-makers to see expected supply levels at a glance.
Now, instead of reacting to fluctuations after they happen, the company can plan ahead. If production is expected to be higher than demand, they have the opportunity to sell surplus energy to the national grid at the best possible price. If lower production is forecasted, they can adjust distribution to avoid costly shortfalls.
Better forecasting also allows Lumina Energy to flatten peaks in energy demand, making their supply more efficient. When excess energy is expected, they can offer lower electricity rates to encourage customers to shift high-energy activities to these periods, helping to balance supply and demand without increasing overall energy use. When shortages are likely, they can introduce incentives for customers who reduce their energy use, ensuring that demand remains manageable and reducing reliance on backup fossil fuel power sources.
What value do you think this brings to Lumina Energy?
Supply Chain Warehouse Level 2 - Packing and dispatching (excerpt)
In this example, I’ve used an element of gamification. The subject matter could easily have been uninspiring, presented as a table listing which packaging materials are used for which purpose. Instead, I chose a quiz format to turn what would have been a passive learning experience into an active one. The timer replicates a gameshow feel, giving learners enough time to think but also prompting them to take a guess if they’re unsure. Even a wrong answer still supports learning, as the feedback corrects misconceptions and helps the information stick - after all, we’ve all learned plenty just by watching gameshows and having a go. I designed and wrote the brief for the activity, and our multimedia design team brought it to life. We worked closely during production to make sure the interaction and functionality achieved the intended learning experience.
Beyond boxes
As useful and versatile as boxes are, they aren't the complete solution to warehouse packaging needs. Many items now ship in bags rather than boxes, but even when boxes are used, a wide array of different packing materials are required. The right packing material not only fits perfectly within these boxes but also adds another layer of protection, ensuring that every item arrives at its destination in pristine condition. Each type of material serves a specific purpose, from cushioning delicate items to securing heavier goods during transit.
As useful and versatile as boxes are, they aren't the complete solution to warehouse packaging needs. Many items now ship in bags rather than boxes, but even when boxes are used, a wide array of different packing materials are required. The right packing material not only fits perfectly within these boxes but also adds another layer of protection, ensuring that every item arrives at its destination in pristine condition. Each type of material serves a specific purpose, from cushioning delicate items to securing heavier goods during transit.