A thinking system is a point of view that helps solve a problem. Part of Knowledge Work. We view problems through the view of our own specialism (mathematics). Thinking systems help with perspective.
Types of thinking systems:
- Design
- Engineering
Design thinking
Historically we trained people to use a product.
- users have choices,
- be user focused,
- empathy and contextual enquiry for the product/system
This puts human at the center, and focus on thinking about pain points of their experience.
Remember:
- User segments are not the same and should be handled separately.
- It is important to understand how the user interacts with the environment/other beings
- Ludic properties reduce design load, for example chatgpt and chat feature, or use of the iphone.
Scientific thinking:
Strong ideas but loosely held.
Examples:
- AlphaFold and protein folding. They had lots of data and where able to derive insights from that using AI.
As problems are too complex for human minds Scientific Method now:
- We have data,
- Pick an algo ,
- Compute then gives hypothesis.
System Thinking
We need to design for the whole system not just the individual.
I am stuck in traffic, versus you are the traffic.
Emergent behaviour with lime moulds, tokyo metro network.
Collective intelligence.
Designing system so that individuals impact the whole.