CAASTLE: HAVERDASH
Conversational activation FLOW
Creating a personalized, engaging experience through a conversational quiz that curates collections and size recommendations for Haverdash users.
PROJECT OVERVIEW
When Haverdash was first launched, one of the key goals was to personalize the user experience by providing curated clothing collections and size recommendations. The CAF quiz was designed to ask users about their clothing needs, preferred brands, and sizes for different types of clothing. Rather than making this process feel like a tedious quiz, we aimed to make the experience feel more like a conversation. I led the design efforts to optimize this process, making it more engaging, intuitive, and user-friendly by adding progress tracking and smoothing out animations between questions. Ultimately, this new, conversational flow resulted in increased user engagement and positive feedback, leading to a high lift in GAC (Goal Achievement Completion) and a more personalized experience for users.
the design process
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We knew that one of the main challenges was to create a more personalized experience without overwhelming users. To achieve this, I worked closely with the product team to identify key user preferences (e.g., clothing needs, preferred brands, sizing) and how these could influence curated collections. The goal was to gather relevant data in a seamless, enjoyable way.
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I focused on redesigning the quiz to feel more like a conversation rather than a traditional form or survey. Instead of presenting a list of questions in a rigid format, I made the flow feel more dynamic, interactive, and user-friendly. This included ensuring the questions felt relevant and easy to answer, with a tone that was engaging and conversational.
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To improve the user experience and make it more interactive, I implemented a progress tracker that visually indicated how far users had come in the quiz. This allowed users to understand where they were in the process and gave them a sense of accomplishment as they completed each step.
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To make the experience feel fluid and engaging, I focused on optimizing the animations between questions. This included ensuring smooth transitions that kept users engaged without feeling rushed or distracted. The goal was to create a seamless and polished experience that encouraged users to complete the quiz.
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After implementing the conversational flow, we closely monitored key performance metrics, including GAC (Goal Achievement Completion), user feedback, and overall usage. The results showed a significant lift in GAC, indicating that users were more likely to complete the quiz and engage with the personalized recommendations.
THE RESULT/impact
The revamped CAF quiz significantly enhanced the user experience on Haverdash, leading to higher engagement rates and more personalized recommendations. The conversational approach made the process feel less like a chore and more like a valuable experience for users. The addition of progress tracking and smoother animations increased user satisfaction, and the high lift in GAC showed that more users were completing the quiz and receiving tailored clothing collections and size recommendations.
