Signed in as:
filler@godaddy.com
Signed in as:
filler@godaddy.com
Consulted for Becton Dickinson (BD), enhancing user engagement for their diabetes management app, a personalized chat and notification system using machine learning, leading to a ~50% increase in user engagement and improving customer retention by ~15% in its first 6 months.
Dynamic prompts on each entry allow for unique engagement and meaningful responses by the app.
First time user clicks are met with simple explanations of what the feature does with helpful next steps.
Using machine learning, the chat works to capture data from the user and provide accurate and helpful information.
User's can track aspects of their day including mood, activity, and carb intake.
Overall history view allows quick summary view of each day.
App would serve up relevant articles that serve according to the individual's needs.
Working with the Product Management and Marketing teams, created graphics, brochures, and iconography to support the storytelling of the app's development process and architecture.
Showing the client-side components sitting on top of the tech-stack.
Taking the learnings from the initial proof of concept, "The Leah Project", the product and development teams produced the final client-facing product, "BD Briight".
When the development team was given the opportunity to provide an inside-view of their operations, they came to me to provide composite graphics and overall creative direction.
When the development team was given the opportunity to provide an inside-view of their operations, they came to me to provide composite graphics and overall creative direction.
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