Interview Management Platform
A premium recruiting command center that streamlines interview operations and transforms candidate signals into clear, defensible hiring decisions.
Partnership Goal
→ Create a high-fidelity, enterprise-grade recruitment platform for hiring agencies that demonstrates an end-to-end recruitment workflow with modern UI/UX, strong visual hierarchy, and AI-first interaction patterns.
Service
Custom Web Application
Overview
A recruitment automation platform designed for hiring agencies, covering the full hiring journey from pipeline management and shortlisting to interview execution, AI-assisted evaluation, and final hiring recommendations.
The system was built as a fully interactive front-end application with realistic data states to simulate end-to-end workflows.
Scope:
Challenge
Hiring agencies typically run high-volume pipelines with fragmented tools for sourcing, scheduling, interviewing, evaluation, and stakeholder alignment. The biggest operational pain is not lack of data, but lack of clarity, context, and speed when decisions need to be made.
Scheduling coordination creates delays, conflicts, and drop-offs
Evaluation quality varies by interviewer, making decisions inconsistent
Feedback is scattered across notes, chats, and emails with no single narrative
Recruiters spend too much time on admin work instead of candidate engagement
Hiring managers want quick proof, not long reports, but still need traceability
Collaboration breaks when context is missing across teams and roles
Solution
A modern, AI-assisted recruitment command center designed to simplify the interview workflow while maintaining structured, auditable decision-making. The UI is built around signal extraction, fast navigation, and low-friction actions rather than heavy forms.
• KPI-driven dashboard surfacing pipeline health and daily priorities • Candidate cards with AI match scoring, instant summaries, and drill-down evaluation • Resume parsing that converts CVs into clean, editable structured profiles • Scheduling with calendar visibility, availability matching, and conflict resolution • Video interviews with structured question flows and reliable note capture • AI-generated post-interview summaries with evidence, highlights, and risk flags • Final comparison and ranking views to support fair, competency-based decisions • Contextual chat and task management linked directly to jobs and candidates
Process
Team
- 1 Product Manager
- 2 Senior Frontend Engineers
- 1 UX / Product Designer
- 1 AI / Data Consultant (for workflow logic, scoring models, and prompt design)
Technology Stack
Frontend
State & Data
AI & NLP
Discovery and workflow mapping
Mapped recruiter and hiring manager workflows to reduce clicks, context switching, and time sinks.
Design system and interaction model
Defined brand, hierarchy, motion rules, accessibility targets, and component standards.
High-fidelity prototype screens
Built a complete set of end-to-end screens with realistic states, empty/loading behavior, and edge cases.
Component library planning
Standardized tables, cards, modals, filters, toasts, and side panels for consistent reuse.
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Outcome
The platform demonstrated how a unified, AI-assisted interview system can transform fragmented recruiting workflows into a single, decision-ready experience.
Clear, role-based visibility into pipeline health and interviewer workload
Faster scheduling through availability matching and conflict-free coordination
Consistent, structured evaluation across interviewers and stages
Decision-ready summaries that reduce time spent synthesizing feedback
Traceable, comparable candidate recommendations for confident hiring
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