Warm up

Visit the Thinking Gym for a short logic puzzle before the summary.

Thinking Gym

Digitalisation summary and games

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This recap reinforces digital practice habits relevant to ITIL 4 style service thinking and TOGAF oriented architecture communication.

How to use the summary
You are here to sharpen judgement. The games make mistakes visible, and mistakes are how we learn.
Good practice
Answer, then explain your answer in one sentence. If you cannot explain it, you do not own it yet.
Bad practice
Best practice

You made it to the recap. This page is here to tighten your mental model, test your instincts, and give you a few games to keep it practical.


Big picture recap

Concept block
Big picture recap
Digitalisation is a system: data, process, people, platforms, and feedback loops.
Digitalisation is a system: data, process, people, platforms, and feedback loops.
Assumptions
Outcomes are defined
Loops are closed
Failure modes
Activity without outcomes
No ownership

Digitalisation matters because it changes how value is created and trusted, not just which tools are used. It joins policy, data, platforms, and people into one system that must work together.

New gold standard habit

When someone says “we are doing digital”, ask three questions: (1) what user outcome improved, (2) what system behaviour changed, (3) what evidence would prove it.

Big picture map

Policy, data and platforms shape outcomes together.

Policy and regulation

Targets, reporting duties, and trust rules.

Data and standards

Shared meaning, stable identifiers, clean lineage.

Platforms and tools

APIs, workflows, dashboards, and automation.

Outcomes and trust

Service quality, safety, and public confidence.

OutcomesSignalsTrust

If you can explain digitalisation without naming a vendor, you understand the idea, not just the tools.

Quick check: the big picture

Scenario: A team replaces paper forms with PDFs and calls it transformation. What would you ask to test that claim

What keeps digitalisation focused

Scenario: Users do not trust the service, so adoption drops. What do you fix first

What links policy to delivery

What is a simple sign of healthy digitalisation


Key tools, standards and patterns

Concept block
Tools and standards as enablers
Tools and standards are useful when they reduce friction and ambiguity.
Tools and standards are useful when they reduce friction and ambiguity.
Assumptions
Standards are adopted
Interfaces are documented
Failure modes
Paper standards
Inconsistent contracts
The hard work here is shared meaning. and a make data usable. keeps systems aligned across organisations.

Scale journey

How change moves from pilots to business as usual.

Current state
->
Pilots
->
Shared platform
->
Business as usual

Keep a clear legend for data, platforms, and people so everyone reads the journey the same way.

Quick check: tools and standards

Why are APIs central to digitalisation

What does a data catalogue solve

Scenario: Two operators publish outage data in different formats. Why use CIM style models

Scenario: Teams keep shipping breaking changes to a shared feed. What is the risk of unmanaged standards

Why track signals, not just outputs

What makes a platform reusable


Real world scenarios

Concept block
Scenarios and games
Practice is where you find the real gaps in your mental model.
Practice is where you find the real gaps in your mental model.
Assumptions
You slow down first
You can justify trade-offs
Failure modes
Picking tools first
Ignoring governance

Use these as short practice rounds. Pick a scenario and decide the first two changes you would make.

Portfolio prompts (copy and use)
  • One-page definition note: digitisation vs digitalisation vs transformation, with one example from your organisation.
  • Control loop sketch: measure, decide, act, and the delay. Add one failure mode and one safeguard.
  • Integration contract review: pick one API or data feed and write the versioning and rollback expectations.
  • Measurement pack: outcome, adoption, reliability, risk. Name owners and review cadence.

Scenario pack

Each one tests a different instinct.

Shared outage updates

Two operators publish outage data in different formats. Which standard do you choose and why.

Customer journey reset

A service journey has high drop off. Which signals prove the fix worked.

Platform overload

Everyone wants new features. Which platform capability should be funded first.

Data quality drift

Reports no longer match. Which owner and checks should be called first.

Games and drills

More practice games

Explore all practice games including cybersecurity, digitalisation, and cross-topic drills.

View All Practice Games →

Quick check: scenarios and games

Why start with outcomes in a scenario

What does a good standard decision consider

Why do journeys need signals

What is a common cause of platform overload

Why call owners early in data quality issues

Scenario: A game gives you a 'right answer' without showing trade-offs. What is missing


Next steps, CPD and further learning

Concept block
Next steps
Good next steps are small and repeatable: one loop you can sustain.
Good next steps are small and repeatable: one loop you can sustain.
Assumptions
Small is sustainable
Evidence is captured
Failure modes
Overplanning
No measurement

Use the tools below to plan your next learning sprint and log the hours for CPD.

Mini strategy sprint

Write once, reuse for any context.

Focus and outcomes

Pick the first problem and the two outcomes you will measure after one year.

Capabilities and platforms

Name the two weakest capabilities and the shared platforms you will prioritise.

Governance and partners

List the decisions that need governance and the partners you must involve early.

Roadmap reality

Sketch a three year path where year one does not depend on year three.

If you can write this clearly once, you can adapt it and repeat for many contexts.

You do not need to know everything. You need to know how to decide when the stakes are unclear.

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