Yes, of course!
In fact, process automation through technology has been a recurring theme in our design sprints for many years.
Recent advances in large language models (LLMs) and Chat GPT (to name just one) offer immense opportunities that are just as many possibilities for design sprints.
Artificial intelligence is becoming increasingly affordable, which also offers better prospects for implementing the concepts devised during a design sprint.
But why, in fact, would you want to address an AI issue during a design sprint?
As effective as AIs are, they do not designate themselves.
Before you start coding anything or playing around with APIs, it’s best to know what you want to do and how AI will be useful:
- What needs to be automated?
- If there is generated content, what will the rules be? The prompts?
- How should the information be displayed? What will the interface be like?
- What will be the overall tone of voice?
- Are there any ethical issues?
- Will we be entitled to do so, or are there legal issues involved?
- …
The list of questions is endless.
At first glance, AI seems to solve everything.
In reality, this makes it even more difficult to create any new product or service. And these issues must be resolved by humans right from the start of the project.
Design sprints work wonders in these pre-project phases. They enable discussion, alignment, and prototyping to lay the foundations for an ambitious future project.
The outcome of the design sprint will validate hypotheses and serve as initial specifications. Thanks to the sprint, your team will be able to answer all the fundamental questions about your future AI project.
