UX Research Portfolio

AI-EnhancedUX: Revolutionizing Digital Health at Fraser Health

Situation: At Fraser Health, we encountered significant challenges in deriving actionable insights from the vast user data across our digital health platforms. The limitations of traditional analytics methods became apparent, as they fell short of providing the depth of analysis necessary to meaningfully elevate product design and enhance team collaboration. Task: In my role as a UX Researcher, I spearheaded the integration of sophisticated AI tools into our analytical frameworks. Our goals were ambitious yet clear: • To amplify product design quality by 45% through deeper insights into user behavior. • To bolster team collaboration efficiency by 50%, streamlining analysis and expediting decision-making. Action: AI Tool Selection and Integration: • Conducted an extensive market evaluation to identify the most effective AI tools, selecting "InsightEngine AI" for its profound data analysis and pattern recognition capabilities, and "CollaborateAI" for its ability to augment team communication and project management through predictive analytics. Data Processing with InsightEngine AI: • Utilized InsightEngine AI to process a broad array of datasets, including web analytics, user feedback, and usability testing outcomes. • The advanced algorithms of this tool unveiled intricate patterns and preferences in user behavior, revealing insights previously obscured. Design Innovations Informed by AI: • Empowered by the findings from InsightEngine AI, our design team launched several iterations aimed at improving usability and enhancing user satisfaction. • The development and testing of prototypes were accelerated through AI-generated insights, guiding each design iteration towards greater efficacy. Streamlining Team Efforts with CollaborateAI: • CollaborateAI was implemented to optimize team collaboration and operational efficiency. • Its predictive analytics on project outcomes enhanced decision-making, allowing for a more effective allocation of resources and keeping team members in sync through real-time collaboration features. Empowering Teams with AI Knowledge: • Organized workshops for UX researchers, designers, and stakeholders, introducing them to InsightEngine AI and CollaborateAI’s capabilities. • The focus was on the practical application of AI in design and project management, ensuring comprehensive team proficiency in leveraging these tools. Result: • The integration of AI into our UX research and design processes resulted in a 45% improvement in product design quality, as evidenced by heightened user satisfaction, increased engagement, and fewer usability issues, with InsightEngine AI being instrumental in pinpointing key user experience enhancements. • Efficiency in team collaboration surged by 50%, a testament to the predictive and collaborative features of CollaborateAI, facilitating quicker consensus, more strategic resource deployment, and swift design iteration implementation. • Fraser Health emerged as a healthcare innovation leader, setting new standards in data-driven product development and team efficiency through the successful adoption of AI in UX research and design. • This initiative not only fostered a culture of innovation and continuous learning among the UX teams but also advocated for the broader adoption of AI tools across different departments to refine service delivery and patient care. • The project's success prompted further organizational exploration into AI applications to advance healthcare services and operational efficiencies, underscoring the transformative impact of InsightEngine AI and CollaborateAI.

Enhancing Product Strategy with Advanced Survey Techniques at Fraser Health

Situation: • Fraser Health's digital health platforms were at a critical juncture, needing precise direction to meet evolving user expectations and healthcare standards. • Although user feedback was collected, it lacked the depth and specificity required to inform strategic product development decisively. Task: • As an experienced UX Researcher, I was tasked with executing comprehensive survey initiatives to gather nuanced user insights and preferences. • This involved deploying a mix of in-app surveys, external surveys, and specialized surveys for feature prioritization, such as MaxDiff, Conjoint Analysis, and the Kano Model. • The goal was to enhance product strategy and development processes by 30%, ensuring that new features and improvements closely aligned with user needs and preferences. Action: Survey Design and Deployment: • Developed a series of surveys tailored to capture a wide range of user feedback. • In-app surveys targeted current users within the digital platforms, while external surveys reached a broader audience to understand general perceptions and needs. • Specialized surveys, including MaxDiff for understanding preference strength, Conjoint Analysis for valuing product features, and the Kano Model for identifying delighters, were deployed to gain deep insights into user priorities. Data Collection and Analysis: • Utilized advanced survey tools and analytics software to collect and analyze the data. • This phase involved sophisticated statistical analysis to decode user preferences and identify patterns that would inform the prioritization of product features and enhancements. Strategic Insight Synthesis: • Synthesized the survey findings to extract actionable insights, translating complex data into clear priorities for the product development team. • This process involved close collaboration with product managers, designers, and developers to ensure the insights were accurately reflected in the product roadmap. Implementation and Iteration: • Worked with the development teams to implement changes based on the survey insights. • This included refining existing features and introducing new ones identified as high priorities by users. • Continuous monitoring and follow-up surveys were conducted to assess the impact of these changes and refine the product strategy further. Stakeholder Communication: • Regularly communicated the findings and strategic recommendations to stakeholders across Fraser Health, ensuring transparency and alignment on the product development strategy. • This also involved presenting the direct impact of user feedback on the product roadmap and future planning. Result: • Enhanced product strategy and development by 30%, as evidenced by increased user satisfaction, higher engagement rates, and positive feedback on new features aligned with user preferences identified through the surveys. • The specialized surveys (MaxDiff, Conjoint Analysis, and Kano Model) provided a nuanced understanding of user priorities, leading to more informed decision-making in product development. • This approach ensured that resources were allocated to features that offered the most value to users. • Fostered a data-driven culture within the product development team, emphasizing the importance of user feedback in guiding strategic decisions. • This shift resulted in a more agile and responsive development process, capable of quickly adapting to user needs. • Strengthened the collaboration between UX researchers, product managers, and the development team, ensuring a unified approach to implementing user feedback and enhancing the product offering. • Received accolades from both users and internal stakeholders for the tangible improvements in the digital health platforms, marking a significant step forward in Fraser Health’s commitment to delivering user-centered healthcare solutions.

Streamlining UX Design and Testing with Figma at Fraser Health

Situation: • Fraser Health's UX design and testing processes were hampered by inefficient workflows and tools that slowed down the iteration cycles and delayed the launch of new digital health services. • The need for a more streamlined and efficient process was evident to meet the growing demand for user-friendly digital healthcare solutions. Task: • As a forward-thinking UX Researcher, I identified the opportunity to overhaul our design and prototyping workflows. • I introduced and championed the use of Figma for high-fidelity prototyping, with the goal of streamlining the user testing and design hand-off processes, thereby increasing project efficiency by 35%. Action: Figma Integration: • Led the initiative to adopt Figma as the primary tool for UX/UI design and prototyping within the UX team. • This involved setting up a shared workspace that facilitated real-time collaboration among designers, researchers, and developers. Training and Adoption: • Organized training sessions for the UX and development teams to ensure they were proficient in using Figma. • This included best practices for design collaboration, prototyping, and creating design systems within the platform. Prototype Development: • Leveraged Figma to develop high-fidelity prototypes that closely mimicked the final product, allowing for more accurate and meaningful user testing. • This approach enabled rapid iterations based on user feedback without the need for extensive redevelopment. Streamlined User Testing: • Utilized Figma’s interactive prototypes in user testing sessions, facilitating remote and in-person testing that provided immediate insights into user behavior and preferences. • This direct interaction with high-fidelity prototypes made it easier for users to provide concrete feedback. Efficient Design Hand-off: • Employed Figma’s built-in design hand-off tools to seamlessly transition from design to development. • This included automatic generation of CSS code, asset exporting, and sharing of interactive design specifications directly with the development team. Result: • Project efficiency increased by 35%, as measured by the reduced time from concept to launch for new digital health services. This improvement was directly attributed to the streamlined workflows enabled by Figma. • User testing became more effective and insightful, with participants interacting with prototypes that offered a realistic experience of the proposed designs. • The ability to quickly iterate on these prototypes based on user feedback led to a higher quality of user-centered design solutions. • The design hand-off process was significantly streamlined, reducing misunderstandings and rework. Developers received clear, actionable design specifications through Figma, enhancing the collaboration between design and development teams. • Figma’s collaborative features fostered a culture of open feedback and continuous improvement within the UX team, leading to more innovative and user-friendly design solutions. • The successful implementation of Figma was recognized as a best practice within Fraser Health, setting a new standard for efficiency and collaboration in digital health service development.