Overview

Significard is a web/mobile app that simplifies personalized card-sending through AI and artist collaboration.

Challenge

Transform a complex service into a user-friendly product. Design features like profiles, dashboards, logins, recipient databases, marketing pages, and a native app alongside a responsive website.

Solution

Developed a quiz for preference matching, a dashboard for recipient management, and a native app alongside the website.

My Role

Mid-Level UX Designer. Collaborated closely with the Senior UX Designer to design, plan, build prototypes, and test the new design system.

Tools

Figma, Adobe Illustrator, Zoom, Slack, Trello, Jira, Storybook, Google Sheets

Overview

In today's fast-paced world, staying connected with loved ones through thoughtful gestures can be challenging. My college classmate and I recognized this need and envisioned Significard: a platform that combines AI with real artists to create personalized, eco-friendly greeting cards that arrive on time, every time. This case study outlines our journey from concept to launch, highlighting the user-centered design process we employed to create a seamless and engaging experience for our target audience.

Understanding the Problem

Traditional methods of sending greeting cards, like store visits or impersonal texts, were failing to meet the needs of our target demographic: busy millennials who value personal connections but struggle with time constraints. Market research revealed that this group desires a convenient yet meaningful way to express their sentiments.

Our competitive analysis showed that while some online card companies existed, they lacked the personalization and automation that our users sought.

Users and Audience

Our primary audience is millennials who value relationships and want to express themselves through thoughtful gestures but lack the time or resources to do so consistently. These users:
‍

Appreciate the sentimentality of greeting cards but find traditional methods inconvenient.

Are tech-savvy and comfortable with online services.

Desire personalization and unique card designs.

Value convenience and automation to simplify their lives.

Scope

Personalized Card Matching: A quiz to capture user and recipient preferences, powered by AI and curated by artists.
Automated Scheduling and Delivery: Users set preferences once, and Significard handles the rest.
Recipient Management: A dashboard to store and organize recipient details and preferences.
Eco-Friendly Materials: A commitment to sustainability in card production.
Responsive Website and Native App: Accessible across devices for maximum convenience.

Constraints

Limited Resources: As a startup, we had to work efficiently with our budget and team size.
Technical Complexity: Developing the AI-powered matching algorithm and integrating it with artist curation required careful planning and development.
Market Education: The concept of automated, personalized card-sending was relatively new, so we needed to educate our target audience on its benefits.

Process

1. User Research: We conducted surveys and interviews to validate our assumptions about user needs and pain points.

2. Feature Prioritization: Based on research insights, we prioritized features that would deliver the most value to users while aligning with our business goals.
‍

3. Design and Prototyping: We iterated on wireframes and prototypes, incorporating user feedback at each stage. We focused on creating an intuitive and enjoyable quiz experience, a user-friendly dashboard, and seamless navigation across devices.
‍

4. User Testing: We conducted usability testing with our target audience, gathering feedback on the quiz, card selection process, and overall user experience.
‍

5. Refinement and Launch: Based on testing insights, we refined the design and functionality of the app. We launched the website and mobile app, emphasizing clear messaging and educational content to onboard new users.
‍

Outcomes and Learnings

Successful Launch: Significard received positive feedback from users, who appreciated its convenience, personalization, and thoughtful card selection.
Increased Engagement: The mobile app significantly increased user engagement and retention, as it allowed users to manage their card-sending on the go.
Valuable Insights: User testing revealed areas for improvement in the quiz design, leading to a more intuitive and engaging experience. We learned the importance of clear wording and visual cues to guide users through the process.

Conclusion

Significard has successfully addressed a gap in the market for personalized, automated greeting card services. By prioritizing user needs and leveraging technology, we have created a platform that empowers users to connect with loved ones effortlessly. Our ongoing commitment to user feedback and continuous improvement will ensure that Significard remains a valuable tool for expressing care and appreciation in the digital age.

Designing a Personalized Greeting Card Experience: A UX Case Study for Significard

Overview

Challenge

Solution

My Role

Tools

Overview

Understanding the Problem

Users and Audience

Scope

Constraints

Process

Outcomes and Learnings

Conclusion