How might we use technology to build inclusive behaviors ...
Transcript of How might we use technology to build inclusive behaviors ...
SERENA LIUDesign
SADIK ANTWI-BOAMPONG
MBA
MANDY KONGCS
HELEN HECM
SHINE HSUCM
How might we use technology to build inclusive behaviors amongst teams and organizations?
KEY RISK EXPERIMENT DESCRIPTIONEXPERIMENT TYPE
COMPLETION TIME
1 Lack of Demand
Create a small webpage (App name, product description), share the link on Microsoft or Cornell group page with a description about what the App does, and count how many people click the link
Pilot 6 days
2 Sharing Data Privacy
Create the form interface where users would be inputting their information, make all fields optional, and see what users are willing to share Prototype 5 days
3 Steady Supply and Demand
- Make a lot of Uber requests at the same time and see if Uber has enough drivers to supply those requests
- At any gathering, count how many people use Uber/Lyft as their transportation home vs. public transportation or personal car
Small World Pilot
3 days
4 Data Leakage See if there is a way (technically) to encrypt form data into a code to be used to pre-populate another form Prototype 1 day
5 No Partner in Uber
Identify a student event off-campus and see how many people would use our app/platform to network than would call Uber/Lyft themselves Pilot 1 month
6 Opposition Explore student groups and see how willing student group organizers are willing to share information about their attendees if they know we will use their information for our app.
Equivalent Experiment 1 week
Lack of Demand
Sharing Data Privacy
Users choose the information they are willing to share
Output a personal e-biz card
1
2
Supply Experiment Demand Experiment
Steady Supply and Steady Demand
Call at same time Observe people
SERENA LIUDesign
SADIK ANTWI-BOAMPONG
MBA
MANDY KONGCS
HELEN HECM
SHINE HSUCM
Thanks!How might we use technology to build inclusive behaviors amongst teams and
organizations?
Appendix
Lack of Demands
Objective: to verify that there is a demand for our product/app
Experiment Type: pilot
Experiment Description: create a small web page and share the link to the webpage with a brief description of the app to see fraction of how many people who saw the link clicked it.
TREATMENTS
SAMPLE
KEY METRICS
THRESHOLD OF SUCCESS
Number of people who clicked the link is greater than 50% of the total number of people who saw the link
# of people who click the link
# of people who saw the link
Sharing Data Privacy
Objective: to observe what kind of data users are willing to share
Experiment Type: prototype
Experiment Description: create the form interface for our app where users would be inputting their personal information but make all fields optional, and then see what fields were more often filled out
TREATMENTS
Having two forms where one form has all fields required fields and the other form has optional fields
SAMPLE
KEY METRICS
THRESHOLD OF SUCCESS
Acquire more than 30 reponses to analyze people’s preference of sharing personal information
# of the reponses
% of each information people are willing to share
Steady Supply
Objective: to confirm that Uber would be able to handle a multitude of requests at a given period
Experiment Type: small world pilot
Experiment Description: make a multitude of requests to Uber at the same time with the help of friends and see how many of us can get a ride
TREATMENTS
Conduct the experiment at more than one gathering on different days
SAMPLE
KEY METRICS
THRESHOLD OF SUCCESS
Uber drivers accept all pool requests in less than 10 mins
# Uber accept rate
# Uber accept time
Steady Demands
Objective: to observe how many people use Uber/Lyft to commute from one place to another
Experiment Type: pilot
Experiment Description: at any gathering, we will count how many people actually take Uber/Lyft vs. how many use public transportation or their own personal car
TREATMENTS
Conduct the experiment at more than one gathering on different days
SAMPLE
THRESHOLD OF SUCCESS
Obtain the results of more than 100 people to analyze the preference and percentage
KEY METRICS
# of people take Uber/Lyft during a period
% of people choosing public transportation vs. Uber/Lyft
Objective: to confirm that we are able to hide information provided by the conference registration form
Experiment Type: prototype
Experiment Description: create or find an encryption function that can hide the data we are passing from the conference registration to our app
TREATMENTS
SAMPLE
KEY METRICS
Whether an attacker can decrypt and obtain the personal information from the code in very little difficulty
THRESHOLD OF SUCCESS
Personal information is unable to be identified in the encrypted string more than 90% of the time
Not Partner with Uber
Objective: to provide data that will encourage Uber to partner with our app
Experiment Type: pilot
Experiment Description: identify a student event happening off-campus and observe how many people would use our app or platform in order to network vs. call an Uber/Lyft themselves
TREATMENTS
Conduct the experiment on more than one student event on different days
SAMPLE
KEY METRICS
THRESHOLD OF SUCCESS
More than 20% of people use our service in order to network with others
# of people using our app
% of people willing to network with others
Opposition
Objective: to verify whether organizers of an event are willing to share a certain amount of data with our app
Experiment Type: equivalent experiment
Experiment Description: explore student groups and observe how many student group organizers are willing to share information about attendees
TREATMENTS
Ask various student groups at various campuses about whether they are willing to share attendees’ information
SAMPLE
KEY METRICS
THRESHOLD OF SUCCESS
Groups approached provide terms of engagement that make it possible to exchange information
# of people willing to share (WTS) information requested
# of people asked to share info