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Development of a Next-Generation Talent and Team Assessment Platform
  1. case
  2. Development of a Next-Generation Talent and Team Assessment Platform

Development of a Next-Generation Talent and Team Assessment Platform

netguru.com
Information technology
Business services

Identified Challenges in Talent Utilization and Legacy System Limitations

The client currently manages multiple fragmented applications with separate databases and outdated architectures, limiting their ability to deliver a cohesive talent assessment and team formation experience. Many existing systems are unstable, outdated, and hinder scalability, leading to inefficiencies in identifying employee strengths, forming effective teams, and generating comprehensive reports for leadership development. Additionally, the current UI/UX is not intuitive, reducing user engagement and adoption. These issues collectively impede the client's goal of unleashing hidden talent potential and supporting strategic growth initiatives.

About the Client

A mid-sized enterprise specializing in organizational development and leadership consulting, seeking to optimize talent discovery, team formation, and leadership assessment through a scalable, user-centric digital platform.

Key Goals for Developing an Advanced Talent and Team Analytics System

  • Stabilize and modernize the existing platform to ensure reliable performance and future scalability.
  • Deliver a comprehensive redesign of the user interface and experience to facilitate ease of use and understanding, especially for first-time users.
  • Implement a data visualization module that enables discovery of talent, skills, and experience, with predictive insights about leadership potential within teams.
  • Automate and streamline the process of team formation through a clear, five-step workflow: task selection, role and size determination, candidate preselection, role assignment, and report generation.
  • Create detailed candidate profiles with visual summaries for quick comprehension by managers, utilizing bubble charts and advanced filtering options.
  • Migrate legacy applications to a modern cloud infrastructure (preferably AWS) with continuous integration/continuous delivery (CI/CD) pipelines to ensure consistent deployment and updates.
  • Enable flexible data management, comprehensive reporting capabilities, and scalable architecture to support future feature expansion.

Core Functional Specifications for Talent and Team Assessment System

  • Unified application architecture to replace dispersed apps with separate databases, ensuring central control and scalability.
  • User-centric UX/UI redesign incorporating data visualization components such as bubble charts, filters, and interactive dashboards.
  • Assessment modules that facilitate answering questionnaires and deriving insights into individual strengths and leadership potential.
  • A structured five-step team formation process with options for task selection, role allocation, candidate preselection, role assignment, and comprehensive report creation.
  • Candidate profiling with visual data summaries, enabling quick scanning of strengths, skills, and experience.
  • Exportable PDF reports summarizing team composition, candidate profiles, and key insights.
  • Inbuilt data management and administrative functions for easy updates and maintenance.

Technological Frameworks and Infrastructure Preferences

Modern cloud infrastructure, preferably AWS, for hosting and scalability.
Migration of legacy Ruby on Rails components to current frameworks for stability and performance.
Implementation of CI/CD pipelines for automated testing, deployment, and version control.
Use of data visualization libraries compatible with the front-end framework (e.g., D3.js, Chart.js).

Essential External Systems and Data Integrations

  • External assessment tools or questionnaires, if applicable, for data collection.
  • Data sources for skills, experience, and leadership profiling, potentially from HR systems.
  • Reporting tools that generate PDF summaries of team configurations and candidate profiles.

Performance, Security, and Scalability Expectations

  • System uptime of 99.9% with robust error handling and recovery procedures.
  • Responsive UI compatible across devices and platforms.
  • Data security protocols complying with GDPR and relevant privacy standards.
  • Ability to support at least 10,000 concurrent users with minimal latency.
  • Cloud-based solution designed to enable easy scaling as user demand grows.

Projected Business Benefits and Development Outcomes

The new platform will streamline talent discovery and team formation processes, reducing manual effort and increasing accuracy in matching skills and leadership potential. Migration to a modern cloud environment will enhance system stability, maintainability, and scalability. Enhanced UX/UI will improve user adoption and engagement, leading to more strategic talent utilization and leadership development. Expected outcomes include increased efficiency in team assembly, better identification of leadership qualities, and supporting the client's growth objectives with a stable, scalable, and innovative solutions architecture.

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