5. Results
Key Achievements:
- Enhanced User Experience:
- Designed widgets that directly addressed critical user pain points, including scrolling fatigue, lack of personalized filters, and ineffective comparison tools.
- Simplified navigation and improved decision-making for shoppers, aligning with their preferences for efficiency and clarity.
- Impactful Deliverables for P&G:
- Delivered a suite of actionable widget concepts:
- The Floating Menu enhanced navigation on product detail pages.
- The Sustainability Loyalty Program incentivized eco-conscious shopping behavior.
- The Hair Profile Page provided tailored product recommendations, improving the relevance of search results.
- Offered practical, user-centric solutions supported by behavioral research and usability testing.
- User Feedback Integration:
- Concept testing with users provided valuable insights that shaped the final designs:
- Icons in the floating menu were revised for universal recognition.
- Sustainability features were modified to clearly highlight eco-friendly options.
- Received positive feedback on usability and alignment with shopper expectations.
Metrics and Sponsor Satisfaction:
- Quantity and Quality: Delivered multiple design ideas, exceeding the sponsor’s expectations for actionable insights and breadth of solutions.
- Sponsor Feedback: P&G noted the value in both the diversity of widgets and the depth of research supporting each design.
Learning Outcomes for the Team:
- Gained hands-on experience in applying user-centered design methodologies to real-world challenges.
- Learned to prioritize actionable solutions within constrained timelines and resources.
Potential Future Impact:
- Widgets like the Floating Menu and Hair Profile Page have strong implementation potential to improve Amazon’s shopping experience for P&G’s beauty products.
- The Sustainability Loyalty Program aligns with broader consumer trends, providing P&G with opportunities to enhance brand loyalty and market differentiation.
6. Reflection
Key Learnings:
- User-Centric Design:
- The project reinforced the importance of understanding users’ behaviors and pain points to design solutions that are both impactful and practical.
- Iterative feedback loops proved essential in refining widget designs to align with user needs and sponsor expectations.
- Collaboration Across Disciplines:
- As the Lead Project Owner, managing a diverse team with distinct skill sets highlighted the value of effective communication and delegation.
- Dividing the team into smaller, goal-focused groups allowed for efficient handling of complex challenges and ensured accountability.
- Balancing Quantity and Quality:
- Delivering multiple widget concepts prioritized by the sponsor encouraged the exploration of diverse ideas, even if all concepts were not high-fidelity. This approach provided a rich pool of potential solutions for P&G’s future use.
- Research-Driven Design:
- Combining qualitative insights from interviews and observations with quantitative research from scholarly articles and user testing ensured a robust understanding of the problem space.
- Personas and user journeys provided a framework to keep the team aligned on user priorities throughout the project.
Challenges Faced:
- Managing Expectations:
- Balancing the sponsor’s emphasis on quantity with the team’s desire for polished outputs required ongoing alignment and communication.
- Time Constraints:
- With limited time, prioritizing and iterating effectively was critical. Splitting the team into smaller groups accelerated progress but demanded strong oversight.
- Cognitive Overload in Designs:
- Initial prototypes introduced complexities for users. Usability testing highlighted the need for simplicity and clarity, leading to focused design revisions.
Future Directions:
- Broader Implementation:
- Collaborating with P&G’s technical teams could bring these widget concepts to life, potentially improving customer satisfaction and driving product discovery on the Amazon platform.
- Advanced Personalization:
- Further iterations could explore deeper AI-driven personalization, enhancing tools like the Hair Profile Page with real-time recommendations and adaptive filters.
7. Link to the full documentation
For detailed usability testings, processes, and research, please visit the whole documentation.