Smarter solutions for a better coffee making experience (Part 1)
In one of my posts, about a month ago - I complained about the fact that my new Nespresso coffee machine was not able to assist me in performing simple coffee making tasks. The manual - of which the author probably has heard of minimalism but never actually read Carroll's books - didn't help much. These are the primary tasks of the machine:
Note: This blog not intends to criticize Krups or Nestle products. I use these products (which I actually like) merely as an everyday example to illustrate how contextual intelligence can help enterprises create smarter devices that will lead to an even better brand experience.
- Preparing for first use
- Adjusting the water level
- Preparing coffee
- Emptying the system
- Resetting to factory defaults
- Setting the energy saving mode
- Descaling the machine
- Cleaning the machine
- Troubleshooting
The variables of a cup of coffee
Assuming we use the Nespresso machine to prepare a cup of coffee, we can identify the following variables:- Brewing ratio: ristretto, espresso or lungo
- Additions: sugar / sweets, coffee milk / coffee milk powder, steamed / frothed milk
- Flavor
- Intensity
Predicting your next cup of coffee
So now that we know what the typical aspects are that define the character of our cup of coffee, we can focus on the next step: predicting the characteristics for each of these aspects based on the personal preferences and context of the coffee drinker. In my next blog I will dive deeper into this topic. Any suggestion which context variables I should take into account?Note: This blog not intends to criticize Krups or Nestle products. I use these products (which I actually like) merely as an everyday example to illustrate how contextual intelligence can help enterprises create smarter devices that will lead to an even better brand experience.
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