Development Process

##Needfinding

Our needfinding phase consisted of the following activities.

###Needfinding interviews

To understand the needs of the drivers, we conducted immersive interviews with two people about their experiences driving to/from work. We also observed one of our team members drive from SF and tried to understand his frustrations and needs. These interviews are available in the google drive in the “needfinding and brainstorming” directory. Our major findings included:

We can infer patterns from what people do each day during their time in the car People often have to notify others if their ETA changes, and so have to use their phone They would prefer to use a navigation app that accounts for realtime traffic The interface for dialing from car is not always intuitive, so people tend to use intelligent systems such as Siri They would want to be as productive as possible Staying attentive is yet another challenge that people often face Ensuring that there is enough gas was yet another concern

###Analogous research

We explored the current in-car technology and other apps that improve the driving experience. We also interviewed a Stanford student who interned at an automotive company to better understand the market. Here are some technologies/apps that we reviewed.

Safety features such as anti-lock braking system, adaptive cruise control, advanced automatic collision notification, intelligent parking assist system etc. Different interaction mechanisms such as speech recognition, gesture control, eye tracking etc. Tesla auto pilot and calendar Waze Automatic GasBuddy Parker Apple car play

###Needfinding activity

After the interviews and analogous research, we got together as a group and brainstormed several ideas. These are available in the Google drive.

##Project idea

After several discussions and feedback from the teaching team, we narrowed in on a project idea that we think is ambitious yet realizable in two quarters. The car gets data from the following four sources.

Personal data (driver habits) Car data (gas etc.) Environmental data (traffic, weather) Mobile phone (calendar, to-do list)

By combining this data, we hope to provide a truly personalized and productive experience in the car.

##Rapid prototyping presentation

To better understand our value proposition, we prototyped our idea using human Cargi and tested it with five people. We also sent out a survey and received around 140 responses. Our key results included:

Respondents thought navigation, entertainment, communication and information to be important, while productivity and shopping/to-do lists did not receive as much attention A lot varied with the duration of the drive and the destination (refer to our slides for more information) People were particularly excited about information on cheap gas even though there are apps that do so.

Based on these results, we plan to focus on third party app integration alongwith the four key aspects that people found useful. For details on our survey results and in-person interviews, refer to the “rapid prototyping” folder.