AskFritz

End-to-end UX design for an AI-powered HR SaaS platform — sole designer from research and strategy through to a production-ready design system and shipped interfaces.

35%
task success rate improvement
8→5
navigation steps reduced
25%
fewer iteration cycles
Role
Sole UX/Product Designer
Year
July 2025 – Jan 2026
Focus
B2B SaaS AI Design Systems
AskFritz Dashboard on iPad
Context

Designing an AI-powered HR platform from scratch

AskFritz is a B2B SaaS platform that helps companies onboard, manage, and query employee knowledge using AI. I joined as the sole designer — no existing design language, no component library, no prior UX work to build on.

The platform serves two distinct user types: HR admins who manage the company side, and employees who interact with their personal dashboards and work queues. Designing for both paths simultaneously required a clear systems-thinking approach from day one.

I owned everything: research, information architecture, interaction design, visual design, and the Figma design system — working directly with the founding engineering team in an agile environment.

AskFritz Homepage
Super Admin Panel
AskFritz Dashboard
Problem

Complex HR flows buried in unclear navigation

HR platforms are notoriously hard to use. AskFritz had the additional complexity of two completely separate user journeys — company admins and employees — sharing the same entry point. The original flow had 8 steps to reach a core task, and users consistently dropped off before completing key actions.

Research with 15 participants revealed the core issue: users couldn't predict where their task lived in the navigation. Card sorting showed a fundamentally different mental model from what the existing IA reflected.

AskFritz User Flow
Design

Two paths. One system. Zero confusion.

The core design decision was to split the two user journeys clearly at the point of sign-up — a toggle between "For Companies" and "For Employees" — so each user type only ever sees their own interface. This reduced cognitive load immediately.

Navigation was restructured from 8 steps to 5, based directly on the card sorting results. Primary tasks moved to the top level; secondary actions were grouped into contextual sub-menus. Every structural decision was validated with users before implementation.

The AI query interface — the product's core differentiator — was elevated to a primary nav item with a clear, guided flow: describe your requirement, set a match threshold, get recommendations.

AskFritz Onboarding
AskFritz Query Recommendations
Design System

Built to scale, not just to ship

I built a full Figma design system from scratch — tokens for colour, typography, spacing, and shadow; 50+ components with auto-layout and documented usage guidelines; WCAG 2.1 AA compliance throughout.

The system reduced design-to-development iteration cycles by 25%. Engineers had a single source of truth for every component, and new screens could be assembled from existing parts rather than built from scratch each time.

The design system was the multiplier — every hour invested in it saved three in handoff, QA, and rework.

AskFritz Design System
Impact

Research-led decisions. Measurable outcomes.

35%
Task success rate improvement after IA restructure
8→5
Navigation steps reduced to reach primary tasks
25%
Fewer design-to-dev iteration cycles with the design system
15
Research participants across card sorting and tree testing

Every metric came from a deliberate research decision — card sorting, tree testing, and usability sessions run before a single interface was finalised. The outcomes reflect the process, not luck.

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