Handle difficult exits with consistency, privacy, and legal guardrails.
Severly is a workplace offboarding platform for HR leaders, founders, and employment law firms that need to manage involuntary terminations with less risk and less chaos. It guides teams through decision prep, compliant documentation, live termination coordination, and post-termination follow-up so each exit is handled consistently, respectfully, and with an auditable trail.
HR Director Elena, 41 - Elena manages people operations at a 350-employee SaaS company. She needs a repeatable, low-risk way to coordinate involuntary exits across HR, IT, payroll, and managers.
Founder Marcus, 34 - Marcus runs a 25-person startup with no dedicated HR team. He handles difficult exits himself and needs help being fast, clear, and respectful.
Employment Counsel Priya, 52 - Priya advises multiple SMB clients. She wants a controlled workspace to review plans, confirm compliance, and reduce back-and-forth with operators.
Elena is the HR director at a growing SaaS company, and every involuntary exit has been a scramble of spreadsheets, emails, and last-minute questions from legal and IT. One bad handoff can mean missed access revocation, incomplete paperwork, or a messy manager experience.
With Severly, Elena opens a case, selects the employee’s location and termination type, and gets a complete plan in minutes. Legal reviews the packet, IT gets automated tasks, and the manager receives a simple script at the right time. The result is a safer process, fewer mistakes, and a team that can handle difficult exits with confidence instead of chaos.
Team & resourcing - Small cross-functional team - 2 backend engineers, 1 frontend engineer, 1 product designer, part-time PM, and shared legal advisor
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Build a web app called Severly for managing involuntary employee offboarding workflows. The app is for HR leaders, founders, and employment counsel. It should guide users through creating a termination case, generating a jurisdiction-aware checklist and document packet, routing approvals, coordinating notifications to HR/IT/payroll/managers via Slack and email, tracking execution tasks, and producing an audit trail and exportable PDF packet. Use Next.js, TypeScript, Tailwind, Postgres, and a job queue like BullMQ or Temporal. Include authentication, organization-level multi-tenancy, role-based access control, and secure file storage. Build these primary screens: dashboard of active cases, create case wizard, case detail page with checklist/status timeline, approval review screen, document packet viewer, settings for templates/integrations/roles, and reports page. Core flows: create a case with employee, manager, location, jurisdiction, termination reason, and effective date; auto-generate required tasks and documents; request approvals; send reminders; execute offboarding; close the case when mandatory tasks are complete. Include edge handling for missing fields, late edits that require re-approval, overdue tasks, and partial completion with waiver reasons. Data model should include Organization, User, Role, Employee, Case, Template, Approval, Task, Notification, AuditEvent, Document, Integration, and ReportSnapshot. Add seeded demo data and a clean UI optimized for stressful workflows, with high-contrast accessibility, keyboard navigation, and fast loading states. Implement basic analytics events for case creation, approval requested/completed, document generated, task completed, and case closed.
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