Our Recommendation

 

After our interviews and workshop, we helped Robinhood define a new goal: to redefine their relationship with customers and strengthen their pursuit of democratizing finances.

This lofty goal would pivot them from being a trading platform to a full-service financial partner. To achieve this, they would need to redesign their data for the customer and employee experience by creating a single, 360º view.

Solutioning

3 Workshops
Innovation sprint, service blueprinting, vision mapping

40 Concepts Generated

 

Customer Experience

Create agility to sense user needs and rapidly respond to prioritize new offerings and experiences.

  • Insights to Predict and Prevent
    Gather real-time insights to sense when a problem may be about to occur and create a self-healing service.

  • Take Action In-context
    Collaborate and communicate with colleagues in context of the data and the moment.

  • Insight-driven experiences
    Leverage insights with centrally managed interactions and cases to create positive experiences.

Employee Experience

Re-think operations and the underlying technology to simplify and allocate resources to help achieve the growth goals

  • Rationalize Application Footprint
    Reduce technical debt by rationalizing the applications and effectively deploy resources to achieve growth goals

  • Single Source of the Truth
    Ensure one system of records (SOR) for all internal systems to improve internal operation efficiency

  • Create best-in-class integration
    Create scalable API integrations to Major Oak and other core systems using Mulesoft

Transformation

Develop an Enterprise digital operating model with a focus on user experience and growth goals backed by clean, organized data

  • Unified Experiences
    Deliver a seamless experience for
    both customers and employees across all touchpoints

  • Scaling Growth
    Transition to SaaS model to improve organizational efficiency, agility and scalability to meet growth goals

  • Connecting Data
    Create standardized data guidelines. Extend data models to create connected data lakes build a single view of the customer.