Insight: Users prefer a simple, intuitive interface that requires minimal input and avoids overwhelming them with options.
Following an analysis of 99 surveys, we have chosen to conduct in-depth interviews with 20 respondents.
The affinity diagram was used to synthesize and organize insights gathered from user interviews to better understand common themes and issues related to the AI travel planner.
The competitive analysis highlights key areas where our AI travel planner can excel by these feature. By addressing these aspects, we can create a superior travel planning experience that stands out in the market.
Consolidating our key insights revealed a primary user persona with specific needs and preferences for travel planning.
This Context Scenario describes how Sarah uses the AI travel planner in a specific situation, highlighting her needs, tasks, and challenges.
This Key Path Scenario outlines the critical steps Sarah takes to book a flight, focusing on essential interactions and features that contribute to her success.
This storyboard provides a visual representation of a Anna’s interaction with a product or service.
It is a detailed visual representation that outlines the steps and interactions required for a user to complete The task “Get the Travel Plan”
conducted two rounds of usability studies. The first study identified key issues, guiding the design from wireframes to mockups. In the second round, I refined the design by improving the UI and adding features like customization options, and a search section, based on user feedback.