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Modelling Best Practices: Conciseness

Conciseness of a model is just as important as clarity and consistency.
A model is a simplified representation of something.

By definition, it should only contain what is essential to the idea it is representing.

Think of a map – to show a large area, you let go of details, while focusing on what the map was meant to show.

A model is concise if removing an element creates a gap in meaning.

A model is cluttered if it has superfluous details that could be moved elsewhere without impacting the overall idea. This includes obvious information that the user of the model should be able to assume without any help.


Let’s use a process flow as an example again – they tend to get cluttered, even if with the best intentions.

The first model looks very busy, to the point that it is hard to follow where each connector goes. Is each box in this version adding useful information?

Let’s look at how we can make the first version more concise:

☑️ Include only what is important to solve the problem

☑️ Omit the obvious

☑️ Don’t replicate information

☑️ Minimize linear activity sequences

☑️ Priority to flow and relationships

☑️ Use the least number of words

☑️ Don’t replicate conditions as activities

☑️ Don’t mix up high-level with detailed


To keep your model as concise as possible, include only what is relevant to the business problem:

You will not win respect of your stakeholders by making grandiose, convoluted or intimidating models.

Remove anything that can be removed without taking away from the main message.

Create the model with the audience in mind – your goal is the shared understanding of requirements.


Based on the book “Business analyst: a profession and a mindset”. For more free resources and materials, sign-up for the Why Change Newsletter. Explore the #ba_mindset in other formats: books, videos, or courses.

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