We focused on statistics, text analysis, and displaying results through easily digestible tidbits of data insight.
Brainstorming
What is it?
What does it do?
We are asking ourselves… ?
What would someone do who is beyond helping? fake your death, create a new identity, move to place without Facebook
Career/employer rating: “the best job you could get with this profile is at McDonalds.”
Iterate
At this point, we started using the term ‘data mirror’ to describe our product. Gaining insight into data (stats, text analysis, etc.) in an automated way could be difficult to actually implement, but generating these tidbits seemed essential in providing the right context for the user.
We brought this into the next presentation.
Feedback
Facebook and friend privacy violations
James Grimmelmann
Avoid potential Facebook scenarios
Focus on one concept (not 7 diff ones)
– professor of law at Cornell
– studies how laws regulating software affect freedom, wealth, and power
Be careful of the dashboard metaphor
– dashboard vs steering wheel
– where is the steering wheel?
Think of illegal uses
What is the entire feedback loop?
Tell a story about how the product is used
Situation
Problem
Surprise
Interest
Use
Ask
Awareness
Alerted
Outcome
Solution
Understand
Pleased
