Digital transformation often begins with a straightforward ambition. Reduce manual work, improve the customer experience or give teams better information to make decisions.
Behind that ambition sits a more involved challenge. Established processes, business rules, connected systems and everyday working practices all influence what needs to change.
At PSP, discovery brings those elements together before a solution is defined. The aim is straightforward: understand the problem well enough to invest in changes that will make a useful difference.
The challenge: understanding what needs to change
A request for a new system usually describes a proposed solution. It does not always explain the full problem behind it.
A team may want to replace a spreadsheet because keeping it updated takes too much time. Looking more closely might reveal that the information comes from several systems, responsibilities are unclear and the same checks are repeated at different stages.
Replacing the spreadsheet could improve part of that experience. Without understanding the wider process, however, the new system may inherit the same difficulties.
The first task is therefore to establish what people are trying to achieve, where work becomes difficult and why those difficulties occur.
The approach: discovery grounded in everyday work
Useful discovery combines conversations with the people involved, examination of existing systems and a clear view of how work moves through the organisation.
Different teams often see different parts of the same process. Someone handling customer enquiries may recognise a recurring frustration, while an operational colleague understands the dependency causing it. A technical team may know why a connection between systems behaves as it does.
Bringing those perspectives together helps establish a shared understanding. It also makes assumptions visible, allowing them to be checked before they become requirements.
The questions should be practical. What starts the process? Who needs to act? Which information do they need? What happens when something is missing, a request changes or an approval is delayed?
The answers help define how a solution needs to behave in real use.
Mapping the process, including the exceptions
A process map provides a useful way to make that understanding visible. It shows activities, handovers, decisions and the systems involved, giving people something concrete to review together.
The normal route is only part of the picture. Exceptions can account for a considerable amount of everyday effort: correcting incomplete information, resolving conflicting records or finding someone with the authority to make a decision.
For example, a scheduling process might need to account for availability, competence, provisional bookings and cancellations. A simple calendar view would address only part of that requirement.
Understanding those conditions helps distinguish between work that can be automated and decisions that still need human judgement. It also provides a stronger foundation for testing the eventual solution.
Turning findings into a practical roadmap
Discovery needs to lead to decisions.
Once the problems and requirements are clearer, opportunities can be assessed against business value, effort, risk and dependencies. Some improvements may be achievable within an existing system. Others may require integration, configuration changes or bespoke development.
Sequencing matters. A new customer journey may depend on reliable information from another system. Automating an approval process may first require agreement about responsibilities and authority.
A practical roadmap makes those relationships explicit. It sets out manageable stages, the people needed to deliver them and what each stage should enable.
This gives the organisation a basis for choosing where to start, while avoiding commitments that depend on unresolved questions.
Defining what a useful result looks like
Before delivery begins, it helps to agree how improvement will be assessed.
That might mean reducing repeated data entry, making the status of work easier to see or enabling people to complete a task without contacting another team. Where possible, understanding the current position provides a baseline for comparison.
These outcomes also help shape acceptance criteria. Testing can then establish whether the solution supports the intended process, including permissions, exceptions and realistic working scenarios.
What this enables
Discovery gives business and technical teams a shared foundation for delivery. Requirements become easier to explain, priorities have a clearer rationale and important dependencies can be addressed earlier.
It also gives people an opportunity to influence changes to the processes they use. Their knowledge helps shape the solution, while their involvement supports preparation for new ways of working.
The value comes from connecting the business ambition to the operational detail behind it. By asking better questions at the outset, we can make technology choices with greater confidence and build a clearer route from an initial idea to useful, lasting change.