Turn shift data into clear staff utilization insight.
ShiftPulse is a workforce utilization app for managers who already track shifts in a scheduling or timekeeping system. It pulls time shift data, calculates utilization, and shows where staff are overbooked, underused, or carrying overtime risk so teams can make faster staffing decisions.
Operations Manager Nina, 38 - Nina runs staffing for a multi-site services business and needs a fast way to see whether her team is over- or under-utilized. She currently exports shift data into spreadsheets and spends hours creating monthly reports.
HR Analyst Daniel, 31 - Daniel supports labor reporting for a growing company and needs reliable metrics that leadership can trust. He cares about consistency, exportability, and audit trails.
Regional Director Aisha, 45 - Aisha oversees multiple locations and wants a simple executive view of labor efficiency. She needs trends, comparisons, and anomalies without digging into raw timesheets.
Nina used to spend Monday mornings exporting shift data from her scheduling system and stitching together spreadsheets to figure out who was overworked and who had idle capacity. By the time her report was ready, the numbers were already out of date, and she still could not explain where the biggest staffing risks were.
With ShiftPulse, Nina connects her time shift data once and sees utilization by site, role, and employee in a single dashboard. When one location starts drifting above overtime thresholds, she gets an alert, adjusts staffing early, and spends less time building reports and more time improving coverage and labor cost control.
Team & resourcing - Small team - 2 engineers, 1 designer, part-time PM, and shared QA support
Paste this into Cursor, Bolt, Lovable, or v0 to start building.
Build a web app called ShiftPulse for tracking staff utilization from shift/time data. Product summary: Users are operations managers, HR analysts, and regional directors who upload CSVs or connect a timekeeping source to see staff utilization by person, team, site, and date range. The app calculates utilization from shift data, surfaces over/underutilization, supports alerts, and exports reports. Core screens: 1. Auth and workspace onboarding 2. Data source connect/import wizard with CSV upload and field mapping 3. Utilization rules/settings page 4. Main analytics dashboard with cards, trend charts, filters, and sortable tables 5. Employee detail drawer/page with shift history and calculation breakdown 6. Alerts page with rules, history, and acknowledgments 7. Admin/settings page for users, roles, timezone, retention, and integrations Key behaviors: Support role-based access for admin/manager/analyst/viewer. Import CSV with validation for employee ID, name, role, site, shift start/end, break minutes, and approved hours. Calculate utilization as configurable formula with target bands. Show data freshness and sync status. Allow date filters, site/team/role filters, CSV/PDF export, email alerts, and scheduled reports. Data model: Workspaces, Users, Roles, Employees, Sites, Teams, TimeSources, ShiftRecords, UtilizationRules, UtilizationSnapshots, Alerts, ReportExports, AuditEvents, and IntegrationSyncJobs. Include timestamps, source metadata, and calculation versioning. Suggested stack: Frontend: Next.js, React, TypeScript, Tailwind CSS, Recharts Backend: Next.js API routes or Node.js service with TypeScript DB: PostgreSQL with Prisma Jobs: BullMQ with Redis Auth: Clerk or Auth0 with Google Workspace and Microsoft Entra ID SSO Storage: S3-compatible object storage Analytics: PostHog Errors: Sentry Billing: Stripe Deploy on Vercel or Render with a managed Postgres database. Build an MVP first with CSV import, one native integration stub, utilization dashboard, employee drill-down, exports, alerts, and admin controls. Use a clean, professional analytics UI optimized for desktop with accessible color contrast, fast loading, and clear empty/error states.
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