Slides Customization Enrichment
Empowering AI-driven suggestions to enrich the slides customization feature, boosting user autonomy in creating slide shows with 10,000+ users.
Full-stack UX Designer
User Research, Competitor analysis, Interface Design, Usability Testing, Prototyping
Oct 2023 - Dec 2023
1 Project Manager
5 UX Designers
1 Engineering Team
Figma, Notion, Pen & Paper
Web App
DrLambda.ai is a B2C SaaS AI workspace startup for creating slides and videos.
Expanded the platform’s slides customization page to offer users greater manual editing control.
Empowered user autonomy by integrating AI-driven suggestion tools within the slides customization feature.
The feature release contributes to a top 2 product trend ranking at Product Hunt with 10,000+ beta users within the first month of launch.
Increased customization interactions by 58%.
Assess user adoption with AI through 5 in-depth competitor analysis and 30+ qualitative user research.
Brainstormed 10+ AI-driven solutions for product features’ opportunities.
Owned the designs for 2 AI-driven features’ use cases in a cross-functional team with 5 UX designers.
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What does DrLambda do?
The platform’s slides creation feature is useful for researchers, educators, students, consultants, and office professionals, offering a convenient solution for content transformation.
DrLambda.ai’s platform enables users to create slides and video content in a structured, step-by-step format.
My team concentrated on the Slides Customization Page, where users can customize their slides using selected templates.
Project Challenges
AI-suggestion text
Project Timeline
We conducted a series of research to learn about the market, uncover the needs from potential users, and re-imagined DrLambda’s slides customization feature.
Identify opportunities for DrLambda to differentiate from competitors.
Discover user needs and painpoints in the slide creation process.
Evaluate user adoption with AI.
Research Summary
DrLambda can achieve competitive advantage by enhancing AI-assisted editing in the slide customization page.
Users spends a lot of time refining the aesthetics and content of slides. The productivity is low, whereas the output might not be satisfactory.
Users are more likely to adopt AI if it offers users with greater control over the final output.
I analyzed one competitor in-depth and synthesized the other four competitors with the team. We created an opportunity map together to find out the commonalities and their differences between each product and define the opportunities for DrLambda.ai.
Insights from Secondary Research:
A consistent focus on clean interface with low learning curve for the users
All competitors offer clean interfaces that make the slide creation experience intuitive, and easy to use.
A demand for variety and flexibility in slide template choices
Competitors provide a diverse selection of slide templates for users before manually editing slides.
A growing trend toward AI-driven user experiences
Competitors have incorporated AI into the slide creation process.
Core Research Question
How might we improve DrLambda.ai’s slide creation experience to empower smoother experience when users are customizing their slideshows?
Insights from Screening Survey:
Usage and preference for presentation softwares
Frequency of editing presentation slides
Awareness and Familiarity of using AI tools
Users who are spending the most time in creating slides themselves are educators, students who have needs for academic projects. Professional slides are usually pre-designed with company’s templates.
How might we design the slides customization feature for DrLambda.ai that allows users to customize while maintaining an efficient workflow and personalization through AI integration?
Ideation
Analyzing the Current Work Flow
Design and Validation
We created different types of wireframes and conducted a small scale usability testing to validate the most efficient user flow, after we selected our wireframes, I led the interface design process and established a design system that proposes a more efficient workflow.
We created three types of user flow based on different edge cases. Our goal is to ensure smooth experience among the three.
Wireframes
I created three options to find out which design matched with users preference. The three versions of them have different focus, and I conducted a small scale usability testing to figure out the best solutions.
Selected prototype
Users have expressed a strong preference for the clarity offered by the third design iteration.
Users also have a preference in a lightweight interface layout.
In December, our team had the design share out with the company. The pitch was very successful, and the product was finally launched in April 2024. We reached to the Top 2 ranking at Product Hunt as an early stage startup and have 10,000+ beta users to test out the prototype.
Final Design Overview
AI Suggesiton Text
AI Generated Image