What did you learn?
The problems that the team gathered through research were diverse and varied. There are many different categories of notes and problems that the team found. The team was able to get many data points of the different processes of entering/exiting the cars. The team also found that many older people struggled and complained about the height of the car.
In what ways did this bring clarity to your project?
Using affinity diagramming allowed us to organize and better understand individual notes or aspects from different research data points. The team worked on analyzing these individual data points in order to find common patterns or ideas between the data points/sticky notes. This allowed us to see what areas might provide the most room for improvement when it comes to defining our problem statement moving forward. In affinity diagramming, instead of looking at each individual research technique it let us combine all the research together to get a more holistic picture.
What was challenging?
There were many instances where there was no obvious category to put the research point in. The team dealt with this challenge on a 1 by 1 basis by deciding as a team where to put the note, or even if a new category needs to be created. Even then, the team still had a miscellaneous category of a few points in the end that the team couldn’t divide where they fit.
What do you still have questions about?
The team would still like to know where exactly the “stopping point” is for organizing the notes. The team has gone through multiple iterations of categorizing the notes and there is no clear stopping point/knowing when to be satisfied with the level of categorization.
What might you need to change/revise in the future?
We might need to combine different categories so that we do not have as many. We might also look into completing another iteration if we find that it would help in terms of further organizing or breaking down our current categories even more.