Preparing students for high-stakes interviews through structured mock interviews, AI-assisted feedback, and consultant-led coaching.
July – Aug 2025 · 2 months
Sole Designer
B2B SaaS · Product Design
Figma · Claude
OVERVIEW
I was the sole UI/UX designer for PREPINTERVU, an AI-assisted interview platform that helps education consultants conduct structured mock interviews and deliver meaningful feedback to students. Over 1.5 months, I designed end-to-end experiences for both consultants and students.
PROBLEM
Interview preparation is often unstructured and difficult to scale.
Students rarely receive structured practice or actionable feedback, while consultants spend significant time manually scheduling, conducting, and reviewing mock interviews.
The challenge was to create a system that supports both sides of the experience without increasing operational complexity.
GOAL
Design an AI-assisted interview platform that enables consultants to conduct structured mock interviews at scale while giving students a guided, low-anxiety experience with meaningful feedback.
My Role
As the sole product designer, I designed the product from MVP to production-ready UI by:
Defining user flows and information architecture
Designing consultant and student experiences
Collaborating closely with founders and engineers
Iterating throughout development
Workflow
Requirements → User Flows → Wireframes → Visual Design → Development Iterations
The platform serves two distinct user groups with different goals. Rather than designing a single experience, I created separate workflows for consultants managing interviews and students preparing for them. This separation helped reduce complexity while keeping each interface focused on the user's primary tasks.
#1 Structuring the Consultant Workspace
The problem
Consultants needed to manage multiple students, interviews, and templates without constantly switching between different tools.
My approach
I designed a centralized dashboard that surfaces upcoming interviews, pending actions, and quick access to frequently used tasks.
Outcome
Consultants could understand their workload at a glance while reducing unnecessary navigation.
#2 Managing Students at Scale
The problem
As the number of students increased, manually tracking interview history and progress became difficult.
My approach
Student profiles consolidate interviews, resources, feedback, and preparation history into a single workspace.
Outcome
Consultants could easily move between planning interviews and reviewing individual student progress.
#3 Creating & Assigning AI Interviews
The problem
Consultants needed a fast way to assign personalized AI interviews without repeatedly configuring every detail from scratch.
My approach
I split the workflow into two focused steps. The first captures interview details and settings, while the second helps consultants build the interview using reusable question libraries and AI-powered insights. Breaking the process into smaller decisions reduced cognitive load and kept the experience flexible.
Outcome
Consultants could create personalized interviews quickly while remaining in complete control of the final question set. AI supported the workflow with recommendations and analysis rather than making decisions on their behalf.
#4 Reusable Interview Templates
The problem
Creating interview questions from scratch for every session was repetitive and inconsistent.
My approach
I designed reusable interview templates that organize questions, industries, and interview types into reusable structures.
Outcome
Consultants could standardize interview quality while significantly reducing setup time.
#5 Creating a Calm Student Experience
The problem
Interviews naturally create anxiety. Students needed clarity before, during, and after each session.
My approach
The student workspace focuses only on what matters—upcoming interviews, preparation resources, interview status, and completed feedback.
Outcome
Students always know what comes next without being overwhelmed by unnecessary information.
#6 Making Feedback Actionable
The problem
Generic interview scores rarely help students improve.
My approach
AI-generated feedback is organized into strengths, improvement areas, transcripts, summaries, and actionable suggestions. Consultants review feedback before it is shared with students.
Outcome
Students receive feedback they can immediately apply while consultants retain full control over the evaluation process.
OUTCOMES
The platform launched and is in use with real education consultants and students.
Successfully launched as a standalone AI interview platform.
Later integrated into the broader ScholarGate ecosystem.
Reduced manual coordination for consultants while creating a more structured interview preparation experience for students.
