HasBin

HasBin is a solution to aid and encourage individuals and businesses to recycle. It is designed to incentivize businesses to adopt recycling policies and enable individuals who have little or no access to recycling bins to locate them.

The Problem

 

     "Little or no infrastructure to support and sustain recycling habits of                             individuals and businesses." 

 

Recycling has several roadblocks to overcome on its way to true wide-spread adoption. These barriers exist in two domain spaces: At a business level and at a personal level.

 

Problems at a personal level:

-  Little or no access to recycling facilities

-  Not aware of recycling practices

 

Problems at Business Level:

-  Assumes that the customers do not care about recycling

-  Lack of Incentives

-  Little control to influence Company policy​​

     

 

My Role

User Researcher

Interaction Designer

Visual Designer

 

My Key Contributions

Domain Research

Storyboards

High-Fidelity Mockups

Interactive Prototype

 

Tools 

Microsoft Powerpoint

Photoshop

Invision

 

Process

Outcomes

  • Incentivizes both businesses and individuals to adopt recycling habits. 

  • Easy to find recycling facilities near the user's location.

  • Adopts the Hook Model to ensure sustained behavior.

 
 
 
 
 

High Fidelity Prototype

Personas

Storyboards

After a brainstorming session, we storyboarded possible solutions to identify one which would be most suitable for our personas.  

Proposed Solution

 

A map and track application for personal users to locate recycling facilities and for business users to track recycling at facilities and use recycling as a way to market themselves by adding rewards/store points.

Low Fidelity Prototype

We created low fidelity prototype using MS Powerpoint. The low fidelity prototype helped us consolidate workflows and interactions. We conducted an expert review and a quick usability evaluation and incorporated the insights gained  with low fidelity prototype before creating high fidelity prototypes. The major insights we gained were the need for a back button and need for a tabbed menu. 

We developed personas to better articulate the needs of an individual and needs of a business manager. We used the personas to help us develop requirements for a possible solution. The personas helped us ensure that the requirements catered to all the pain points we discovered in the previous phase. 

Key Points

  • Knowledge Gap: People wish to recycle but often lack information on how to recycle, and what is recyclable. Bussiness assume that their customers do not care about recycling but data from our interviews and observations informed us otherwise.

  • Barrier to Entry: Some individuals find that they do not have access to recycle bins in areas or do not have access to information about recycling.

  • Lack of Actions: Some individuals and businesses are aware of recycling practices, but however lack the motivation to do so.

  • Company ROI: The businesses are concerned with the economic aspects of offering recycling options to their customers.

Convinence/Proximity

Cost Benefits

Social Aspect

Positive Experience

Domain Research

We conducted 6 interviews and observations to gather information about recycling practices at both Business and Personal level. Initially, we used affinity diagramming to identify patterns but we found that affinity diagramming did not capture the essence of the problem. We reexamined the nature of the data and found that Thematic Network was a suitable method to analyze the data.