Using digital simulations to support your early careers people on the job
Recently seen on LinkedIn: A post where someone was showcasing their latest tech haul. Their caption said something like “I don’t know how I’ll use this yet”. Now, of course, people can spend their money however they like, but the post got us at MDA Training thinking about utility. Businesses might be unwise to add tools just because they can, to keep pace with change, or because it might solve some as-yet-undefined problem. Where resources are precious (where aren’t they?!), businesses must invest in tools that have meaningful utility.
What do we mean by “meaningful utility”? We mean that they help people make real decisions that impact a business’s performance. For early careers people, who are just starting to get to grips with their organisational context, it can be especially difficult to see how their work impacts the whole. This is where the simulation comes in. Decisions are made, and the outcomes of those decisions are presented in an easily understandable dashboard which enables teams to discuss consequences, balance any required trade-offs, and agree on a way forward. In this way, we move from reviewing data to applying information. Early careers people gain confidence in making the best decision they can with the resources to hand.
“When decisions become tangible, early careers professionals gain the confidence to act, adapt, and impact the bigger picture.”
In the paragraphs that follow, we’ll explore why and how the dashboards embedded in a digital simulation can help embed behaviours employers want to see when in their early careers people once they hit their desks, what design and implementation principles matter, and practical guidance for L&D and line managers.
Why digital simulations matter for early careers people
- Bridging the gap between theory and real work
Early careers people often learn the theory of business operations and metrics but struggle to connect that with real business decisions. Dashboards that mimic business flows let them see how their choices (or their peers’ choices) influence outcomes. Research on simulation-based methods shows stronger learning impact than traditional methods.
- Encouraging active decision-making and consideration of realistic constraints
A key benefit of a simulation dashboard is the visibility of metrics and the relationships between them, the realisation that “If we invest here, we cannot invest there; if we push volume here, we may see a drop there.” Still, decisions have to be made, and it’s the standout graduate that can make the decision, explain the rationale, and convince their superiors that it’s the right thing to do in the circumstances. Simulations enable graduates to practice the behaviours they will need to excel.
- Building confidence without over-complicating
For early careers people it can be tempting to avoid data because it seems too complex. A good dashboard design helps them explore meaningful choices in a safe environment, iteratively, with peer or coach support, so they develop confidence.
What makes a simulation dashboard genuinely useful for the graduate when they hit their desk?
Here are design and implementation principles to consider:
- Reflect actual business activity and flows
Dashboards should mirror the workflows and metrics the business uses, and constraints they experience. If they show abstract metrics that don’t map to the team’s decisions, they lose utility.
- Require team discussion and consensus on what to do next
Dashboards are seldom solo tools only for personal review. Decisions are made by teams who have competing priorities and must each contribute precious resources to achieve the outcome. The power of the learning lies in seeing how a decision by Team A impacts Team B. (and vice versa), or the overall outcome.
- Accessible and aligned to role-level tasks
Early careers people need dashboards that map to their role: what decisions they can influence, what metrics they should monitor, and how those feed into bigger business outcomes.
- Provide the means for structured feedback and reflection
Because the risk of misinterpretation is real, the dashboard implementation should include prompts, coach or peer reflection, and scenario variants (what if we change X?), Research shows simulations help up-skilling when the learner reflects on outcomes.
- Link to business language and context
The simulation dashboard needs to use the language and metrics the organisation uses. This builds the connection between the learning tool and the work reality. Early careers people gain both technical fluency (using the dashboard) and business fluency (understanding what the metrics mean).
- Support iterative learning and complexity layering
Start simple (key metrics, binary decision choices) and gradually layer complexity (multiple variables, constraints, trade-off scenarios). This avoids overwhelming learners and supports confidence building.
Practical insights for L&D and line managers
Here are actionable steps you can take:
- Define the decisions you want early careers people to make
Identify 2-3 decision areas relevant to their role where trade-offs exist (e.g., cost vs service, volume vs risk). Design the dashboard around those decisions.
- Pilot with the right stakeholders.
Get input from stakeholders who work closely with early careers employees to ascertain which metrics they use and the decisions they face. This boosts relevance, buy-in and usability.
- Facilitate team sessions around dashboard-led scenarios
Make use of the dashboard in facilitated workshops: present a scenario, let the team decide using the dashboard, debrief what happened, what the challenges were, how the metrics changed. This builds the habit of discussion and reflection.
- Embed coaching and peer-learning
Ensure the trainer guides them through the dashboard carefully, encouraging an in-depth, meaningful review rather than allowing a focus on the overall result (especially if it’s positive – the tendency might be to feel it’s “good enough”!). Encourage questions like: “What trade-off am I making here? What metric changed and why? What else could I have done?”
- Iterate the dashboard based on feedback
After initial rollout, gather feedback from learners and line managers on what metrics worked, what confused them, what decisions they didn’t feel empowered to make. Use this to refine dashboard design and training support. Continuous improvement is as relevant to training design as it is to operations.
Case-in-point (It happened with us!!)
Let’s use Run the Bank as a concrete example of how a dashboard-based simulation can prepare early careers people for their day-to-day work.
Context
The simulation invites participants (often early careers people) to assume roles within a bank where they rotate through different business divisions (retail banking, corporate banking, asset & wealth management, infrastructure functions) and are exposed to key metrics, product decisions and inter-divisional resource constraints.
How the dashboard works
Each round of the simulation offers dashboards for each line of business, showing key performance indicators (KPIs) such as loan book size, deposit growth, non-performing loans, speed and accuracy of transaction processing, asset allocation, relative performance versus benchmark (and more!). Learners must interpret this data and then make decisions: e.g., increase lending to a new client segment (raising risk), or reduce exposure by renegotiating terms (possibly reducing growth). They see how that choice impacts the balance sheet, capital ratios, liquidity and overall bank performance across divisions.
- The dashboard reflects real business activity: participants handle genuine banking functions (loans, deposits, asset allocation, risk, infrastructure).
- The simulation requires team discussion and agreement. Teams must deliberate over decisions, understanding how increasing growth may affect risk or how infrastructure investment supports product capability but may reduce short-term margin.
- It supports practical fluency for early careers people: by providing a safe environment to practice interpreting data, making decisions and seeing consequences, learners build confidence in using information to do their jobs and make meaningful choices.
Outcome for early careers onboarding
For early careers people joining a bank, linking onboarding to the simulation means they move faster from “I know banking in theory” to “I understand how divisions interact, what decisions matter, and how the dashboard reflects those decisions”. This accelerates role readiness, embeds commercial acumen early, and fosters collaboration between new joiners and established colleagues.
What’s next?
When digital simulations are thoughtfully designed, they can empower early careers people to use data with confidence. They support a shift from “I can pull a report” to “I can make a decision with insight”. For L&D professionals and line managers who care about developing capability, the key is to connect dashboards to real business activity, encourage discussion about realistic trade-offs, and build decision-making fluency.
At MDA Training we advocate for this approach because it honours the reality of business constraints, supports professional growth in a meaningful way, and aligns learning with organisational value. If you would like us to help design a tailored dashboard-led training programme for your early careers cohort, we’d be delighted to talk.
