Building an immersive, AI-driven interview experience to drive candidate performance.

How can we help job seekers who feel overwhelmed or anxious when preparing for interviews and improve their chances of success in a competitive job market?

Jump to solution and results

Overview

Contribution
User Research and Discovery
UX Strategy and Flow Design
UI Design and Prototyping
Design System Creation
Usability Testing

Team
1x Product Manager
1x Product Designer 1x Engineering Manager
2x Software Engineer  

Role
Product Designer

Timeline
Sep 2023 - October 2024 

Research & Discovery

User interviews: Uncovering needs, pain points, tools used
Competitor review
Heuristic evaluation: Identifying common UX issues in existing tools
Surveys: Capturing broader preferences and behaviours
Secondary research: Looking at industry trends/existing data
Stakeholder input: Aligned on goals, constraints, and success metrics

Ideation & Solution Exploration

Concept theming/Clustering
Pain Point prioritisation
Rapid idea generation
Feature mapping to user needs
Low-fi sketching and wireframing
Flow development
Internal crit of variations

Prototyping/Testing

Recruited users for testing  A/B variations
Order varied between participants to avoid bias
Open ended questions to test content and nav preferences
Insights used to tweak winning designs
Retested designs as a whole flow, with fully functioning prototypes

Launch & Iteration

Discovery

Quote

Finding

Research Findings

Early career individuals lack a network to support with preparation and struggle most in prep.

The Problem

Preparing for job interviews can be overwhelming, inconsistent, and often inaccessible.

Candidates need a solution that offers realistic, personalised, and accessible interview practice to build confidence and improve performance—without relying on human coaches or generic advice.