GigHQ.ai
I served as the Lead Designer for GigHQ.ai, responsible for transforming the product from an idea into a complete, market-ready ecosystem. My scope covered the full product lifecycle, including establishing the foundational brand identity, building a comprehensive Design System, and designing the entire user experience across the core web dashboard, promotional website, and proprietary Chrome Extension.
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I used to rely on a cumbersome spreadsheet template to manage my job applications. Discovering GigHQ.ai was a game-changer! It transformed my chaotic tracking process into a streamlined, almost effortless experience.
Successful Real-World Stress Tests
Deployed rapid prototypes for partnership pilot programs to gather early-stage user feedback. These test runs will provide critical data on workforce management workflows, allowing the team to iterate on core features before the full-scale platform launch.
Bridging the Gap from Technology to User
Operationalizing Design: Scaling Through Systemization
Engineering Efficiency & Design Scale.
Engineering Efficiency & Design Scale.
Create a Cohesive Design System
The Design System was essential to:
1. Guaranteeing Consistency
Established the visual language as code, ensuring predictability and saving engineers time spent hunting for values. I did this by defining the core palette, typography, and spacing variables as Design Tokens.
The color palette established:
This strategy established:
This elimnated:
2. Preventing Rework
A product’s first iteration is rarely its final form. Recognizing that the roadmap for GigHQ would evolve, I designed the UI with "Anticipatory Architecture." Instead of building rigid, fixed-purpose layouts, I utilized a system of Flexible Containers and modular grids.
This forward-thinking approach ensures the interface can gracefully absorb future data—such as advanced analytics, new student metrics, or third-party integrations—without requiring a total structural overhaul. By designing for scalability from day one, we've eliminated future design debt and ensured the platform remains cohesive as it grows from a startup tool into a comprehensive "command center."
Designed to Scale By Using:
The Benefit:
3. Establishing Trust
Building trust in AI requires more than just accurate data; it requires a transparent and predictable interface. To overcome the 'trust deficit' common in AI tools, the design system centered on clarity and precision.
This Communicates the platform and AI is:
Building User Trust:
The uniformity signals:
Professionalism as a Proxy for Performance
For an AI-driven platform like GigHQ, design is more than aesthetics—it’s the primary driver of user confidence. To attract serious investors and enterprise partners, we needed to move beyond "MVP-style" visuals and establish an institutional-grade brand presence.
Investor Readiness
User Confidence
Brand Continuity
Strategic Pilot MVP: Accelerating Partnership Acquisitions
To support high-stakes business development, I executed a 4-day design sprint to deliver a high-fidelity admin dashboard for GigHQ.ai. By leveraging 1:1 component parity, I translated complex workforce data into a "trial-ready" MVP. This rapid prototype served as the core pilot for partner meetings, enabling the team to demonstrate platform value and secure immediate trial commitments with large-scale organizations.
The "Force Multiplier" Effect
This project reinforced that a design system’s true value isn't just visual consistency—it’s operational agility. By investing in 1:1 component parity early on, we transformed the design process from a bottleneck into a force multiplier. Completing an enterprise-grade prototype in four days was only possible because the "small decisions" (typography, spacing, input logic) had already been solved, allowing me to focus entirely on high-level user flow and business logic.
Advanced Design Tokens
Quantitative Refinement
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