MockQ
MockQ
AI Mock Interview Platform
AI Mock Interview Platform
Time: 2021 Aug-Nov
Tool: Figma, Trello, Photoshop
Team: 1 PM, 4 Designers, 14 Engineers
Role: Design Lead for Product MVP & MLP
Time: 2021 Aug-Nov
Tool: Figma, Trello, Photoshop
Team: 1 PM, 4 Designers, 14 Engineers
Role: Design Lead for Product MVP & MLP
Background
Currently, 53% of the 20 million college students are unemployed. And for those who received an offer, a quarter of their employers considered revoking their offers in the past year due to the pandemic. The job market becomes significantly competitive.
Currently, 53% of the 20 million college students are unemployed. And for those who received an offer, a quarter of their employers considered revoking their offers in the past year due to the pandemic. The job market becomes significantly competitive.
There are many video interviewing platforms available for the recruiters to find the best candidate, but there is no market leader in mock interview tools for candidates. This is why we built MockQ, an AI mock interview app for college students.
There are many video interviewing platforms available for the recruiters to find the best candidate, but there is no market leader in mock interview tools for candidates. This is why we built MockQ, an AI mock interview app for college students.
User Research
User Research
Desktop Research
Desktop Research
From our desktop research, we found that career center in colleges are not often used due to the limited resources. Meanwhile, students are struggling in the job market without enough interview practices.
From our desktop research, we found that career center in colleges are not often used due to the limited resources. Meanwhile, students are struggling in the job market without enough interview practices.
User Interview
User Interview
We interviewed some college students who are looking for jobs and organized their concerns into three categories including resource, interview, and feedback.
We interviewed some college students who are looking for jobs and organized their concerns into three categories including resource, interview, and feedback.
Pain Points
Pain Points
Proposals
Proposals
After analyzing user pain points and competitors on the market, we proposed to provide college students an online AI mock interview platform that allows them to practice interviews anytime and anywhere with the most updated real questions, and gives constructive feedback with comprehensive assessment.
After analyzing user pain points and competitors on the market, we proposed to provide college students an online AI mock interview platform that allows them to practice interviews anytime and anywhere with the most updated real questions, and gives constructive feedback with comprehensive assessment.
User Journey
User Journey
Scenario
Scenario
A college student is looking for a job after graduation. He needs to find a platform where he can practice interviews anytime and anywhere he wants. To have a better performance, he’ll redo the practice with not ideal performance based on the feedback.
A college student is looking for a job after graduation. He needs to find a platform where he can practice interviews anytime and anywhere he wants. To have a better performance, he’ll redo the practice with not ideal performance based on the feedback.
Goals and Expectations
Goals and Expectations
Practice interview by question types or positions;
Get constructive feedback in different dimensions;
Redo the interview if not performed well.
Practice interview by question types or positions;
Get constructive feedback in different dimensions;
Redo the interview if not performed well.
Product Design [MVP]
Product Design [MVP]
The product MVP includes onboarding, survey, interview overview, recording, and feedback, which is the essential process of mock interview experience. The designer team applied open-source design system into product MVP design and provided design spec to engineer team.
The product MVP includes onboarding, survey, interview overview, recording, and feedback, which is the essential process of mock interview experience. The designer team applied open-source design system into product MVP design and provided design spec to engineer team.
Onboarding
Onboarding
Considering MockQ is an AI online mock interview platform, we implemented illustration to demonstrate the product concept. Going though the onboarding pages, user’s career goal will be collected and saved in the profile, which will also be applied for the upcoming interviews.
Considering MockQ is an AI online mock interview platform, we implemented illustration to demonstrate the product concept. Going though the onboarding pages, user’s career goal will be collected and saved in the profile, which will also be applied for the upcoming interviews.
Interview Overview
Interview Overview
For MVP, we designed one-question interview option for users to have a quick practice considering the developing period for engineer team. On the home page, users will be able to keep track of their interviews including both completed and not completed ones. View feedback option allows them to check their performance and improve.
For MVP, we designed one-question interview option for users to have a quick practice considering the developing period for engineer team. On the home page, users will be able to keep track of their interviews including both completed and not completed ones. View feedback option allows them to check their performance and improve.
Recording & Feedback
Recording & Feedback
Once they start a new interview, a random question from the type they selected will be assigned to them. After submitting the self-recorded video, back-end will analysis the performance and give feedback from four dimensions including content, voice tone, facial expression, and body language.
Once they start a new interview, a random question from the type they selected will be assigned to them. After submitting the self-recorded video, back-end will analysis the performance and give feedback from four dimensions including content, voice tone, facial expression, and body language.
Roadmap & Product MLP
Currently, we‘re working on implementing new features and providing more content to users, including dashboard design with detailed analysis of different types of interview, providing 45 mins full interview option, AI agent conversational interview design, and more comprehensive and detailed feedback. Usability testing will also be conducted with MVP being launched.
Currently, we‘re working on implementing new features and providing more content to users, including dashboard design with detailed analysis of different types of interview, providing 45 mins full interview option, AI agent conversational interview design, and more comprehensive and detailed feedback. Usability testing will also be conducted with MVP being launched.