DIVU prototypes

From ideas
to working solutions.

Railyze and our Data Literacy MVP show how we turn domain knowledge into digital experiences. Explore the problems they address, the workflows they investigate and their current stage.

Development work you can explore

Concrete examples. Clearly labelled stages.

These are examples of DIVU’s own product design and implementation work. They demonstrate approaches and interactions; customer project examples are presented separately.

See project examples
Prototype · Rail operations

Railyze

An application prototype exploring how rail operations data, risk indicators and maintenance priorities can support operational decisions in one place.

The business problem

Operational information can be spread across asset records, events and planning tools. Bringing the context together can help teams examine priorities and the reasons behind them.

What the prototype explores

How a specialised interface can connect operational views, risk indicators and maintenance planning. The focus is the route from data to a reviewable operational decision.

Current stage: prototype. Sign-in is required to access Railyze. Contact us for a guided demonstration.

Illustrative workflow · not a live result

01 · Bring context together

View operational information in relation to the asset or situation being assessed.

02 · Examine indicators

Explore what a signal means and which underlying information needs review.

03 · Discuss priorities

Use the combined view to support a person’s assessment of possible next steps.

MVP · Data literacy

Data Literacy Profiler

An interactive MVP that helps people explore their approach to data and identify development needs. It turns a topic often handled in a workshop into an accessible digital experience.

The business problem

A dashboard is only useful when people can interpret it and ask the right questions. Teams need a practical starting point for discussing how they work with data and where development could help.

What the MVP explores

How guided prompts and an individual profile can make reflection more structured and support a conversation about learning and everyday data use.

Current stage: MVP. The profile is a starting point for reflection and development, not a professional certification or proof of measured learning gains.

English welcome screen of the Data Literacy Profiler MVP
The public Data Literacy Profiler entry screen. No participant data is shown.
Illustrative learning journey

01 · Reflect

Consider how you engage with data in your work.

02 · Explore

Use the profile as a prompt for questions about strengths and development needs.

03 · Apply

Connect the reflection to a concrete learning goal or a real reporting task.

Discuss data literacy for your team
From prototype to service

The interface is one part of the work.

A working prototype helps make an idea concrete. An ongoing service also needs dependable data, agreed checks, operating responsibilities and a clear definition of what customers receive.

Connect the data

Understand the sources, establish definitions and make important gaps visible.

Test the useful workflow

Work through a real task with intended users and agree how the result will be checked.

Define the ongoing service

Specify delivery, exception handling, maintenance and the customer’s decision points.

How we work

What could we build for your business?

A specialised report, a useful application or a recurring workflow: start with the task and the people who need it.