LiveBot

LiveBot is a delivery to live location service that utilizes autonomous delivery robot to ensure the security and convenience of the delivery of valuable products. The project was a 1-month design project for the class Design Innovation 181: Re-imagining Mobility, and my teammates were Nikita Jain and Qifan Yao.

Type: Interaction design, product strategy
Duration: 1-month group design project (April- May 2019)

Introduction

When people order something valuable online, a signature is usually required from the recipient to ensure that the package has been securely delivered. However, this interaction requires the recipient to be present at home when the delivery occurs; if there is no one present to sign, the delivery attempt would often fail. This creates a lot of trouble on the user’s side.

So the question that we set out with was: how might we redefine the signing and authentication interaction in the delivery process with the help of autonomous vehicles?

Design process

In order to gain insights into the problem space, we conducted research using the following methods to better understand user behaviors and current pain points.

Research

Needfinding

The initial prompt we received was: [insert prompt]

How might we use autonomous vehicles to do things beyond moving people?

So we started off by digging into the current landscape of autonomous delivery and talking with people about their experiences and pain points with the current delivery process.

mind mapping activity

After defining the general scope, we conducted interviews with students, barista, and amateur chef to investigate their respective painpoints and potential opportunity spaces. In the meantime, we dived into secondary research about existing products to learn about the current landscape and gain some inspirations.

We wrapped up the first round of research by creating a research board with post-its, pictures, and articles that we found inspirational for the next steps.

Stories and inspirations from interviews and research
Inspirational images and articles
Patterns and early insights
Early idea parking lot

As we conducted and compiled our research findings, we came to discover an opportunity space that all three of us found interest in, which was the transportation of healthy food, such as salad, which is made up of relatively fresh ingredients. To better understand the problem space and identify user needs, we decided to take a closer look at both the supply and end user sides of the salad transportation and consumption experience.

Survey + Early insights

how might we use autonomous vehicles to increase access to healthy food options such as salad?

With this statement in mind, I created a survey that asked about college students’ daily food decisions. We collected 46 responses in total and identified the major barriers between students and healthy eating, which was lack of affordability and access.

Here are some of the key quotes that helped us gain some insights into students’ needs:

“Why eat expensive healthy when you can eat better cheap food
Food to you not you to food”
Streamlined and transparent serving process -- you can see and identify all the ingredients before your eyes”

In addition, we were also able to identify 2 major user groups. One group values convenience and low price, whereas the other group values the dining experience and social interaction that takes place within the process.

Supply Chain Investigation

In addition to understanding the end consumers’ needs, we also did some research on the supply chain of salad ingredients. We took lettuce as a typical example and did a more in-depth analysis of painpoints at the system level.

Brainstorming Session

After gathering insights from user and contextual research, we came up with our initial how might we statement to guide us through our next stage, which is idea brainstorming. We started off aiming for quantity over quality to defer early judgements and

Stories and inspirations from interviews and research
Inspirational images and articles

Idea Pivoting + Expansion

The team voted for the top three ideas to expand on and each of us made a one-page to elaborate on the concept. The idea that we decided to proceed with was the salad truck idea that I focused on.

The idea one-pager that I created

As previously mentioned, from our research, we identified two user groups in terms of dining preferences. We initially wanted to accommodate the needs of both groups by including a seating area in the truck and a fast ordering process for those who need grab-and-go.

However, our idea pivoted after we conducted an expert interview with Greg Becker, the founder of Bbox. Bbox is an automated cafe located on Berkeley campus that makes and serves coffee and pastry using robots. Greg mentioned that there are tradeoffs between users who value convenience verses fine dining experience. The use of automation would enable saving of two large costs, which are rent and labor cost, but it will not be an option to replace brick and mortar accounts.

After considering the findings from our research earlier and the insights from the conversation with Greg, we decided to pivot our idea towards the needs of users who value fast and convenient dining experience.

Idea pivoting towards the user group that values convenience and affordability

Redefined Idea

The shift in direction and target user group prompted us to reconsider the size of our vehicle, the system of operation, as well as the whole experience delivered to the user. With another brainstorming session, we came up with a reframed HMW statement:

How might we be able to design, serve, deliver students on campus cheap, fresh salads conveniently with automation?
New one-pager that I created

Final Concept

Our final concept has three main areas of focus supported by various features that we came up with:

  1. Affordable prices
    • Automated produce collection from farm overnight
    • Reduce labor and rent cost
  2. Convenient ordering and pickup process
    • Easy pre-ordering on mobile app or kiosks
    • Quick robot salad-making
    • Fast pickup with streamlined service flow
  3. Establishing trust with customers
    • Transparent & automated making process enabled by glass window
    • Quick Robot Salad-Making
    • Fast Pickup with Streamlined Service Flow

We also make the ordering and pickup process fast and easy for our end users.

Vision for Next Steps

Freshest anytime

With the introduction of autonomous vehicles, our vision for Freshest would expand beyond a certain opening time and eventually be able to operate 24/7 and potentially provide special night-time delivery services with a parent-child system that dispatches smaller bots to deliver our Freshest salads.

Freshest anywhere

Freshest can also be expanded outside of campus — work district, parks in the city, music festivals… With the advantage of mobility, it is possible to plant our Freshest trucks anywhere.

Freshest anything

We can also go beyond salads and expand our menu — it could be smoothies, acai bowls, sandwiches… with our vertical integration that guarantees the freshness of ingredients, the future of Freshest could also unleash the possibility of more food choices.