Letsee Creator : No-code webAR authoring tool

Product Design (from conception to delivery) for Letsee Creator, a no-code webAR authoring tool, which enables users to create and distribute highly functional AR content on the Web.

Company
Letsee

Deliverable
UX Design, Design Sprint

Role
Product Design Lead

Ideation Process

Understanding the Context : In order to create a webAR authoring tool, I conducted desk research to identify the most in-demand XR business use cases. Upon reviewing industry spending data, it became clear that enterprises would benefit greatly from an XR editor that allows them to create manuals or guided content for work and training environments.

Given the complexity of AR content creation, I focused on sales training manuals for professional electronics and machinery as a primary use case.

The Problem: The traditional approach of work training through standardized text-based instructions is not effective, especially in sales training.

This outdated training process takes away valuable sales time with actual customers and does not provide enough visual cues, resulting in poor information retention. In fact, studies have shown that the current sales training process fails to last more than 90 days.

Setting target user and persona: To build a no-code webAR authoring tool that enables a general user to publish AR content[manual] for employee training, I considered both primary and secondary users; the primary user being the user who will be making AR manual using AR authoring tool and the secondary user being the user using AR manual for training.

Because I hypothesized that the product will be most useful for professional and complex electronics and machinery sales training, I set the primary user as Jacob, a medical engineer who is in charge of making a paper manual for medical equipment. For the secondary user, I set it as Se-eun Kim, a medical sales rep who seeks to figure out a more productive way to get sales training.

Hypothesis & Value Proposition: By making an interactive AR manual accessible and affordable, enterprises can replace outdated text-based paper manuals with AR training manuals, resulting in reduced training costs and increased productivity in training and coaching for both new and existing employees.

The interactive nature of AR manuals allows for more engaging and effective training, leading to better retention of information and improved performance on the job. As a result, companies can see significant improvements in their bottom line while also providing a better learning experience for their employees.

User research: To gain insights into prospective users, my team conducted user interviews. However, due to the difficulty in finding medical equipment sales reps, we spoke with individuals in specialized fields that typically require more extensive training before starting work. These included an automobile manufacturing manager, PCB board engineer, and other potential beneficiaries of AR manuals.

Through these conversations, we were able to learn about their typical onboarding and work training processes, and identify features that would be most useful for their training use cases.

The Design Process

System architecture & Information Architecture: As part of the authoring tool development process, I conducted extensive competitor research and carefully analyzed the webAR environment to determine the necessary features. Next, I created a simple system architecture diagram to illustrate the overall concept and discuss feasibility with the team. Additionally, I utilized information architecture to organize and structure the required features, which aided in the development of a comprehensive user flow.

Creating wireframe / Figma prototype: To develop the AR authoring tool, I utilized Figma to create a wireframe and medium-fidelity prototype. Given that some developers on the team were unfamiliar with drag-and-drop AR authoring tools, I opted for a higher fidelity prototype as it proved more effective in communicating and aligning ideas with team members. This approach allowed us to test and refine the user flow, identify any potential issues, and ensure the final product met the needs of our users.

Creating a user flow: When designing the user flow for the authoring tool, my primary focus was to ensure it was simple and intuitive. To achieve this goal, I prioritized basic authoring and instant publishing features, which allowed us to create a highly agile MVP. Additionally, I aimed to integrate the new authoring tool with the company's existing SDK platform, which provided webAR SDK licensing. This integration helped us to retain our existing user base, many of whom used AR for marketing and advertising. By encouraging users to test out the new product, we hoped to gauge their reactions and gather valuable feedback for future iterations.

MVP and usability testing: After three months of development, we released the first version of the MVP and conducted a series of internal usability tests, demo sessions (including a "create your office avatar" session), and surveys to gather feedback and improve usability. The survey revealed that users without a background in 3D modeling had difficulty understanding how to use the tool and struggled with transformation interactions. Additionally, we identified several bugs and feature issues that negatively impacted the overall user experience. By leveraging these insights, we were able to refine the tool and make it more accessible and intuitive for our users.

Iterations and improvements: The insights we drew from internal testing and user surveys, were that we needed to provide sample templates to guide users and assist them with the general creation process. We referenced website builders and improved the interface& interaction so that users can create structured AR manual/ content with simple drag and drop into the template.

After a few iterations of design & feature improvements and bug fixes, we finally launched a beta version of the authoring tool, showcasing demonstrations to enterprises, agencies, and existing user bases. As we collected their feedback, we noticed some notable achievements such as,

  • 20% increase in the user growth

  • 12% decrease in user error rates

  • 33% increase in user satisfaction

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