Managing Data Strategies

    When talking about the managing data, in this Free Space project, I'd like to start classifying them, according to the different ...

    When talking about the managing data, in this Free Space project, I'd like to start classifying them, according to the different people, users, customers and any other related ones.

    Firstly, we draw a relation map to tease out how many kinds of groups are related with our customers. In this step, some now group may appear because relational context becomes more and more clear during the arrangement, which can also inspired us to find some new connections. On the other hand, the existed relationship net can verify each other.



    And then, according to them, we can classify our data, by using post-it or simple sketching. There are a lot of strategies I think is very useful. 
A. AEIOU
AEIOU is a framework to organize the data according to the taxonomy of Activities, Environments, Interactions, Objects and Users. The graph we got through this method can guide field observation in return. 

B. Affinity Diagramming
This methodology uses a "bottom-up" process for building affinity diagrams. 

C. Behavioral Mapping
We can use it to document location-based observation (community or Free Space activities) to study the layout of the whole space. 


D. Personas
We may build personas for both our customers and users.


E. Photo Studies/Picture Cards
Build a photo-document of different categories. Pictures can be sorted by groups and used to guide stroytelling. 

F. Thematic Networks
Using this method can helps build a step-by-step process to find Free Space themes based on its core value. 

G. Triangulation
It's a way to corroborate evidence from several different angles. 


You Might Also Like

0 评论

Flickr Images