Kronos

Managing hundreds of qualitative research studies required replacing fragmented spreadsheets, emails, and disconnected tools with a centralized, scalable platform supporting scheduling, automation, analytics, security, and global collaboration.

Digital Avenues designed and engineered Kronos as a modular enterprise platform, combining project management, recruitment, scheduling, analytics, notifications, and third-party integrations into a single operational workspace — replacing the spreadsheet-and-email workflow entirely with one system of record.

• Project Lifecycle Management — plan, launch, and track studies end-to-end in one workspace
• Interview Scheduling & Calendar Management — moderator availability, utilization, and daily scheduling views, with Zoom-linked interviews
• Recruitment & Quota Management — quota groups and conflict monitoring across active projects
• Analytics & Operational Intelligence — dashboards for utilization, recruitment funnels, and project performance
• Workflow Automation — task and notification automation via integrations like ClickUp
• SPINE Integration — a purpose-built adapter layer connecting Kronos to the SPINE sample/data standard, so research data flows into downstream systems without manual re-entry
• AI-Ready Research Integration — data modeled and exposed through clean, structured APIs so downstream analytics and AI tooling can consume it without custom ETL work

Modular, role-based architecture (RBAC) across the platform; REST APIs connecting the Angular frontend, .NET backend, and SQL Server data layer; automated Jenkins pipelines per environment (dev, QA, UAT, prod); and third-party integrations (ClickUp, Zoom, AWS SES, SPINE) built as isolated, swappable modules rather than hardcoded dependencies.

Digital Avenues owned this end-to-end: product architecture, frontend and backend development, database engineering, cloud infrastructure setup, CI/CD pipeline design, test automation, third-party integrations, deployment, and ongoing optimization.

• Consolidated a fragmented mix of spreadsheets, emails, and point tools into a single operational platform covering the full research lifecycle
• Gave research operations teams, moderators, and field agencies a shared, real-time view of scheduling and utilization instead of siloed, manually-reconciled data
• Automated recurring coordination work (scheduling, quota tracking, task handoffs) that previously relied on manual follow-up
• Structured research data for direct consumption by analytics and AI tooling, removing the need for one-off export/import work
• Built on a modular, RBAC-secured architecture designed to scale as study volume and team size grow