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


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


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 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


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


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 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


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


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

How might we use technology to build inclusive behaviors ...

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