Integrated Digital Platform for Fair and Efficient Design Talent Recruitment

The client faces high costs and inefficiencies in recruiting top-tier design professionals for complex projects. Middlemen often receive disproportionate fees, and existing hiring methods are prone to bias and lack transparency, leading to suboptimal matches and increased hiring risks.

A large-scale architectural and design firm seeking to modernize its hiring process for interior, landscape, urban, and architectural design professionals using an online matching system that promotes fairness, reduces bias, and improves candidate quality.

• Develop a user-friendly platform connecting high-caliber interior, landscape, urban, and architectural designers with prospective clients.
• Implement an advanced matching engine that accurately assesses candidate-client compatibility based on detailed profile data and customizable preferences.
• Create an anonymized matching process to eliminate early-stage biases such as gender and appearance, fostering fairer hiring practices.
• Enable easy extraction and analysis of hiring data via integration with business analytics APIs.
• Streamline and make the hiring process more transparent, reducing costs significantly below current industry standards.

• Candidate and client profile management with detailed categorization of skills, experiences, and project requirements.
• A custom-designed matching algorithm adjustable by clients to prioritize specific criteria.
• An anonymized connection system that conceals sensitive personal information during initial matching stages.
• Seamless data access for exporting matched profiles and analytics data to external business intelligence tools.
• A user interface that simplifies communication and decision-making for both candidates and clients.

• Business analytics API for data retrieval and reporting
• User authentication and identity verification systems
• Communication tools for candidate and client interaction

• Platform must support high concurrency with low latency in matching operations.
• Data security and privacy controls to ensure anonymization and compliance with privacy standards.
• System should be scalable to accommodate a growing user base and increasing data volume.

The platform aims to significantly reduce hiring costs—by streamlining processes and minimizing intermediary fees—while improving the quality and fairness of matches. It is expected to enhance client satisfaction, decrease time-to-hire, and foster a more equitable hiring environment, ultimately leading to better project outcomes and strengthened industry reputation.