Role: UI/UX/Product Designer

 

Tools: Figma

 

Date: 2025

DAYOS AI

The Challenge: Enhancing an AI-Driven ERM/HCM Product

At Dayos, a company building an AI solution for the complex ERM/HCM workspace, my role was to address specific product challenges. As a UI/UX/Product Designer, I was tasked with improving HERO, a recently launched product. My goal was to incorporate user feedback and ensure the product was valuable and intuitive for the market.

Strategy and Approach: A User-Centered Validation

The Dayos team had successfully launched a powerful AI tool, but they needed to validate whether it was truly solving real-world user problems. My responsibility was to address two main concerns: validating potential users' perspectives on the product and aligning the internal team on its direction. 

  • Validating: I began by gaining an in-depth understanding of how the product was perceived by potential users through demos and discussions, listening to their feedback on whether the product aligned with their current workflows and needs.

  • Aligning: Simultaneously, I wanted to align the internal team's understanding of the product with the company's vision and gather expert insights from those who had built it. This dual approach allowed me to be data-driven and user-focused in my design decisions.

Gaining Internal Alignment: Team Survey and Workshop

To kick off the discovery phase, I led an internal team workshop. To get everyone thinking about the product from a holistic, user-centered perspective, I first tasked them to complete a Google Survey. This survey served as a prompt, encouraging them to think beyond their individual JIRA tasks and reflect on the product as a whole.

Following the survey, I facilitated a one-hour workshop. The session began with an icebreaker and a review of the survey results to align everyone on the current state of the product. The core of the workshop was a 30-minute design session where the team wrote and discussed their ideas through FigJam, followed by a dot-voting exercise to prioritize key areas of focus.

 

Synthesis of Research Findings

By combining insights from the team workshop and user demos, I’ve identified several key findings that would shape the design solution.

  • Internal Alignment: The team workshop confirmed that despite their diverse roles, the team shared a unified vision for the product's value and future direction. We found a consensus on the need to enhance the product's core AI capabilities and focus on specific, powerful features rather than trying to be all things to all users. A key point of agreement was that the AI tool should not feel like just another "chatbot."

  • User Needs and Market Opportunity: Our demos and conversations with potential users revealed a strong market need for a tool like ours. Companies were open to using AI to boost productivity but were unsure exactly how to implement it into their workflows. This highlighted a clear opportunity for Dayos to provide a solution that not only offers AI functionality but also guides users on how to use it effectively.

  • Product Opportunity: My personal assessment of the product, along with user feedback, confirmed its value was clear in theory, but its practical application in real-life workflows was a gap that needed to be addressed. The product's interactions needed to be re-envisioned as a hybrid of a AI chatbot with access to SaaS tasks.

Previous Designs

 

The Design Solution: An AI-First Approach

My research confirmed that the most impactful path forward was to lean into the product's core AI capabilities. I began by re-mapping the existing user flows to create a truly AI-first interaction model. My goal was to create a design that was not only intuitive but also visually and functionally reflected its purpose. This led to several key changes:

  • Highlighting AI Capabilities: I’ve brought out the AI capabilities to be the central part of the dashboard instead of the SaaS features. The AI was immediately visible and accessible, encouraging users use these features first and foremost.

  • Intuitive Interaction: The design was intended to enhance user capabilities beyond a simple chatbot interface. Below the welcome message, are some of the most common prompts that user type often asks the AI. These prompts are designed to guide new users who may be unfamiliar with the AI's capabilities. Above the user input message block, are additional SaaS-based task productivity features, which are tailored to the most common tasks that specific user group asks the AI to complete or assist with.

  • Strategic Reprioritization: Based on feedback about which features were most critical to users, I reorganized and reprioritized content. This involved removing less-used features, while enhancing and expanding on the ones that delivered the most value. This streamlined the experience, ensuring users could focus on the value tasks without being lost or overwhelmed.

 
 
 

Conclusion: Impact and Future Direction

This project was a crucial step in ensuring Dayos's product met the needs of its users. By leading an internal workshop, synthesizing feedback from external sources, and defining problems with a data-driven approach; I was able to create a design solution that elevated the product from a SaaS tool with AI solutions, to an AI-centric product.