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int. - Real-Time Interview AI Platform & UX/UI Design
int. is, quite honestly, became a top tier interview intelligence, thanks to its digital transformation.
Client
Too Long;
Didn't Read
96% user satisfaction, 85% users report better interviews, 8 sprints to ship. See how int. rebuilt hiring:
- Buyer signal. 67% of recruiters struggle with legacy interview navigation, so the platform treats interview intelligence as the product, not a feature.
- AI stack. Conversational AI and natural language processing power real-time candidate analysis, 78% of interviews driven by AI-driven evaluation.
- Recruiter fit. 95% integration with existing recruitment systems, delivering hiring intelligence that plugs into the job interview process teams already run.
About the project
With int., users can conduct real-time interviews using advanced features and artificial intelligence. The application allows you to analyze interview results, display key metrics, and manage candidate information.
Behind that promise sits a specific hiring problem. Recruiters run interviews on Monday morning and spend Tuesday afternoon reconstructing what happened. Notes get lost between calendar tools, evaluation forms, and CV attachments spread across three tabs. Decisions get made from memory rather than data, and good candidates fall through cracks that nobody meant to create. int. was designed to close every one of those gaps at the interface level.
The build spans the AI interview UI across desktop and mobile, with machine learning driving the analytical layer underneath. Interview timelines track every segment of a conversation without recruiters lifting a finger, allowing evaluators to revisit specific moments the way they'd rewatch a highlight reel rather than replay an entire recording. Real-time AI-driven analysis surfaces skill markers, communication patterns, and collaborative signals as they emerge, giving hiring teams a defensible foundation for decisions that used to depend on gut feel.
Project
int. app
Industries
Location
Credit Score Dashboard
Date
2025
CV integration closes the loop that most interview software leaves open. Candidate information flows from existing recruitment platforms into int. without duplicate entry, and the same information flows back out into whatever ATS the team uses downstream. That interoperability shaped the entire architecture rather than sitting as a bolt-on feature, because interview platforms that break the recruiter's existing workflow rarely survive first-quarter reviews.
Underneath the interface, the visual system carries the calm that recruiter tools rarely earn. Clean typography, generous whitespace, and interaction patterns tuned for the specific tempo of interview review work. The result is a working reference for how conversational AI platforms can meet enterprise hiring standards without asking teams to relearn how they hire.
Conversational Intelligence UI UX Design
Issues Identified
Interview Evaluation
85% of interviews conducted require detailed assessment, highlighting users' focus on thorough candidate analysis.
System Integration Needs
70% of users expressed the need for seamless integration with leading data management platforms to streamline workflows and enhance efficiency.
Machine Learning Hiring AI Natural Language Processing | Video Interviewing AI
Strategy
Steps Towards Success
To improve int. - Real-Time Interview AI Platform ui / ux, our team carefully navigated multiple phases, starting from thorough research and extending all the way to the final design implementation.
At every step, we conducted detailed analyses focused on understanding user needs and behaviors. This allowed us to continuously refine the interface, ensuring it remained intuitive and user-friendly.
Key User Metrics
Research accounted for 15%
Involving in-depth competitor analysis to understand the market landscape.
User Modeling & CJM 35%
Guiding the strategic planning of application development.
UI/UX design comprised 30%
Focused on developing innovative and intuitive design concepts.
Wireframing covered 20%
Where we created detailed interface sketches to visualize user flows and interactions.
AI Interview Assistant for Job Interview Process Video Interviewing | Digital Transformation AI
User Research
AI-Powered Interview Assistant
User research showed that interview processes are often time-consuming, confusing, and inefficient, causing delays and frustration for hiring teams.
To solve this, we integrated AI-powered features that streamline interview scheduling, real-time analysis, and candidate management. This solution reduces complexity and speeds up workflows, creating a smooth, intuitive experience for recruiters, turning a major pain point into a key competitive advantage.
Key Findings
67% Ineffective interviewing
Users struggled with complex navigation, showing a need for a simpler, more intuitive interface. The current structure slowed workflows and made managing interviews harder.
81% Functionality for remote monitoring
Users noted limited transparency and real-time data access, making remote interview tracking difficult. Up-to-date info is essential for better decision-making.
78% Limited ability to analyze data
Users reported weak task tracking and data analysis tools. A clearer system is needed to organize workflows and monitor candidate progress.
AI Interview Platform | Conversational AI
Interview Insights and Candidate Overview
After the interview, we clearly understood the candidate’s strengths in design thinking, skills, and portfolio. The timeline helped us track each part of the interview smoothly, and easy access to detailed information made the evaluation more efficient.
Key Features of int.
Interview AI Results
Our platform provides advanced AI-driven analysis of candidate interviews, delivering deep insights across critical skills such as creativity, leadership, communication, and teamwork. This allows recruiters to make more informed and objective hiring decisions.
Interview Timeline
The integrated timeline feature offers a clear and interactive overview of the entire interview process, enabling users to track progress in real time. This helps in organizing interview segments, ensuring no detail is missed, and improving overall workflow efficiency.
CV Integration
Our app seamlessly connects with popular CV platforms, simplifying candidate management. This integration streamlines the recruitment process by consolidating candidate information and enhancing accessibility, ultimately saving time for hiring teams.
Hiring Intelligence for Job Interview Process AI Interview UI | int. Artificial Intelligence HR
Problem and Solution
We found issues and fixed them
In User research showed that managing tasks and payments was inefficient and confusing, causing user frustration and workflow delays.
To solve this, the team introduced intuitive task tracking and streamlined payment processing in Ink app. This improved user control, reduced errors and turned pain points into strengths.
Problem
Users struggled with disorganized task tracking and complex payment steps, slowing down their workflow and causing errors.
Solution
By adding clear task management and easy payment options, we made Ink app simpler and faster to use, boosting user satisfaction and efficiency.
Job Interview Process | Hiring Process AI Conversational AI & Machine Learning Intelligence Conversational AI Software UI UX Design
User Discussions & Insights
Insights from Ink Users
We research over 150 users for int. - Real-Time Interview AI Platform example. It shows 56% of interviews evaluated, 78% AI analysis of candidates, and 95% integration with control systems. From this, we gained valuable insights into key features, improved interview evaluation, enhanced AI analysis, and ensured strong system integration.
56% - Evaluation of interview results
We thoroughly assessed over half of the interviews to ensure quality and consistency in candidate evaluation.
78% - AI-driven candidate analysis
Advanced AI tools analyzed candidate data to enhance accuracy and speed in the selection process.
95% - Recruitment platform integration
Seamless integration with top control systems improved workflow efficiency and data management.
Video Interviewing UX User Research Natural Language Processing in Recruitment
Landing page
Corporate website
In the int. - Real-Time Interview AI Platform project, the website regularly shares updates on improvements, case studies, and success stories, keeping users informed and engaged with the platform’s ongoing development. This continuous flow of information helps users stay connected and better understand the value of int.’s cutting-edge interview solutions.
Recruitment Intelligence AI Interview UI Natural Language Processing in Recruitment
User research showed that interview processes are often time-consuming, confusing, and inefficient, causing delays and frustration for hiring teams.
To solve this, we integrated AI-powered features that streamline interview scheduling, real-time analysis, and candidate management. This solution reduces complexity and speeds up workflows, creating a smooth, intuitive experience for recruiters.
Experienced Users Satisfaction — 84%
Users with extensive experience report the highest satisfaction, showing the value of advanced features and familiarity with the app.
Average Seniority Satisfaction — 74%
Users with moderate experience have good satisfaction levels, indicating steady engagement and positive app interaction.
New Users Satisfaction — 12%
New users show low satisfaction, emphasizing the need for improved onboarding and guidance to enhance their experience.
Hiring Intelligence Recruitment AI AI And Product Design | UX & UI Design
Social media
Established a solid and cohesive brand identity
To ensure a memorable and trustworthy presence, the team developed a strong and consistent brand system. Every visual element was documented and aligned within a structured brandbook. This approach allows the product to maintain visual and verbal coherence across all touchpoints, whether it's the landing page, mobile app, or marketing materials.
The result is a brand identity that feels confident, modern, and instantly recognizable. By anchoring our work in a clear brand foundation, we set the stage for scalable design and long-term trust with users.
AI Interview Platform | Interview Intelligence Artificial Intelligence Product Design | UX & UI Design
Result
Measuring results for success
Our team completed 8 sprints to improve AI Interview Assistant’s usability and features. We refined key functions based on user feedback, making interviews smoother and more intuitive. The app now offers faster setup, clearer insights, and smarter AI, boosting user retention and engagement.
Key Efficiency Gains
96% — User Satisfaction & Platform Adoption
Users are satisfied with the new functionality, reflecting the positive impact of the updates on their overall experience. This high satisfaction rate highlights the effectiveness of the design improvements and feature enhancements implemented throughout the project.
83% — Strong approval signals success.
Users chose our platform, demonstrating strong user adoption and preference. This metric indicates the platform's growing popularity and success in meeting user needs, reinforcing its position in the market.
Conversational AI | AI Interview UI UX Design
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