Bluebikes App - Case Study
Welcome to a reimagination of the Bluebikes mobile application. This case study delves into the incorporation of missing pieces in the app as understood by user experience research methods like SWOT analysis, MoSCoW method, affinity mapping, user interviews, surveys & more
Problem Statement
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Users finding difficulty while accessing help during bike lock, unlock & rides
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Longer user onboarding process
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The absence of integrated public transportation information renders it inefficient for users to plan their rides and first/last mile connectivity with local transit
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Isolated travel experiences due to a lack of community engagement
This diverse set of problems with Bluebikes are addressed with multi-faceted solutions.
Product Objectives
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Reduce user churn, increase ridership, and brand awareness among the Boston community making Bluebikes a staple transport method.
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Increase real-time information exchange on the app with feedback and public transit information.
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Gamify the app and improve engagement with the Boston rider population.
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Increased in-app trip planning, intuitive help offered, and safety thus, reducing trip and bike abandonment.
Survey
An extensive survey with close-ended questions revealed user needs and helped us design the app with the requirements in mind.
Affinity Diagram
SWOT Analysis
Low-fidelity Wireframing
A low-fidelity wireframing made with Balsamiq allowed us to envision the MVP in its skeletal form rendering representations of images, texts, buttons, and interactive elements placed on the app screeens.
User Personas
High-fidelity Prototype
Usability Testing
This method involved observation of the users testing out the app of their own free will to understand their satisfaction with the app and improve app performance and user satisfaction.
