Digitalizing Processes Without an 80-Page Specification

Many digitalization projects start with a misunderstanding: everything has to be described in detail before anyone can begin. That quickly leads to long specification documents, many rounds of coordination and papers that are outdated as soon as real users give feedback.

For custom software, a different approach is often more effective: understand the real process, cut the smallest useful first release, and learn early from something people can actually use.

Why classic specifications slow projects down

A specification is not bad by itself. For tenders, larger procurements or regulated projects it may be necessary. It becomes a problem when it tries to make every detail decision upfront.

Typical symptoms are familiar: the process is described, but the real bottleneck stays unclear; departments list wishes without weighing effort and value; rare edge cases dominate the discussion; after months of concept work, nobody has tried a usable version.

Start with the process, not the feature list

The first step is a practical process review. A focused workshop with the people who work with the process every day is often enough. The key questions are simple: where does the process start, when is it really complete, which data is needed, where do delays or duplicate entries happen, and which exceptions matter on day one?

From this you get a process map. It is more useful than a wish list because it shows where software actually has leverage.

Keep the first release small enough

A good first release does not solve everything. It solves the central bottleneck well enough to be used in daily work. For a public administration this may be a guided online form with an internal case list. For a company it may be an integration that transfers orders automatically. For a university it may be a matching view before all communication features are complete.

The benefit is speed of learning. Users react to real interfaces, real data and real work situations, not to abstract diagrams.

Documentation still matters

Working iteratively does not mean working without documentation. Good documentation is just closer to the actual value: goals and non-goals, roles and permissions, data protection assumptions, open decisions and acceptance criteria for the next step.

Conclusion

Good digitalization is not created by the longest document, but by understanding the bottleneck and keeping feedback loops short. Start small, reduce risk and get to software that works in real operations.