Corbu.ai
Redefining Onboarding Experiences and AI Interactions.
Web App
Generative AI
Startup
B2B
Product Design
TEAM
Product Designer (me)
Engineers x 3
TOOLS USED
Figma, FigJam, Google Forms, Google Meets, Miro, Adobe Suite
DURATION
Current
OVERVIEW
What is Corbu?
Corbu is a startup building a generative rendering product for architects and spatial designers. It addresses the time-consuming nature of traditional rendering workflows.
By mimicking architects' workflows and leveraging precedent images, Corbu accelerates the creation of polished renderings, offering architects the control lacking in current image generation tools.
The Problem
Why are new users struggling with onboarding?
Architects found the initial image upload process confusing and lacked guidance on how to utilize the auto-label feature.
CONTEXT
Limitations
As an early stage startup with limited resources and time, I was constrained to use the existing UI kit.
Heauristic Evaluation
Understanding the Problem
To identify key issues during the onboarding experience and where users are being stopped, I conducted heuristic evaluation of current onboarding experience: image upload and auto labeling.
Core Issues
Outdated UI made navigation confusing.
Lack of guidance for the Auto-Labeler feature for new users.
Non intuitive screen progression during the image upload process.
Heauristic Evaluation
Documenting Existing Flows
To understand current user flows and where problems/ oppurtunities lie.
Core Findings
Precedent Analysis
How Do Other Tools Architects Use Function?
To reduce confusion during onboarding, I conducted precedent research on common file-upload and image databses commonly used by architects to see what user flows they are familiar with.
Common Trends
Provide user with feedback on system status and functions.
Centralized "creation" button
Allow users to create hierarchy through folders
Allows users to edit files after uploading
Add filtering options for optimal file retrieval
Revising User Flows
Improving the Onboarding Experience
Revised existing user flows issues found during heuristic evaluation with insights from precedent analysis.
Streamlined the image upload flow by eliminating unnecessary screens, and provided more guidance to users when using the auto label feature.
Changes
Eliminated redundant screens in the image upload flow
Asked background info on why users are creating auto labels.
Educated users on auto label capabilities through suggestions.
Offer more control to users by breaking complex task down into multiple steps.
Iterating on Design
Iterated on the onboarding design decisions with input from users.
Soltuions
Anticipating User Needs During Initial File Upload
Guiding Users Through The Auto Label Feature
RESULTS
How Did We Do?
70%
42%
Learnings?
Iterate Fast and Iterate Often
Speed is the name of the game in a startup environment. It is important to iterate as often as possible, making mistakes at every pass and incrementally improving the product!