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PRODUCT · 2026 · LIVE · A STRIAT PRODUCT

SchoolOga

Accountability infrastructure for private schools

Context

Private schools across Nigeria run on paper, WhatsApp groups, and manual tracking. Owners cannot see staff attendance in real time. Fee collection is opaque and delayed. Accountability fails at the layer that matters most — whether teachers actually showed up, taught, and submitted lesson notes.

The challenge

Build a system that gives school owners genuine visibility into the day-to-day operations of their schools — not a dashboard that shows surface metrics, but an infrastructure layer that detects bad patterns, flags exceptions, and forces accountability without requiring the owner to be physically present.

The work

SchoolOga is a Striat product, designed and built end-to-end. The platform combines three core modules into a single operating layer for school owners.

Key systems delivered

  • Pattern-based staff accountability — automated detection of consistent lateness, location mismatches via GPS verification, lesson note gaps, and admin override attempts. Severity tiers (warning, critical) with resolution workflow.
  • Fee intelligence — term collection tracking, cash flow projection at current pace, outstanding balance management with class and sibling grouping, automated parent reminders via WhatsApp and SMS fallback.
  • Real-time owner dashboard — daily collection totals, staff present count, term progress, recent activity feed with auto-refresh.
  • Multi-role access — owner, principal, head teacher, secretary, with role-scoped permissions and audit logging on every sensitive action.
  • WhatsApp-first communication — primary channel for fee reminders and notifications, with seamless SMS fallback when WhatsApp delivery is unavailable.
  • Paystack payments — direct subscription billing for schools, parent fee collection with reconciliation back to the platform.

The outcome

Live in production with schools onboarded. Tracking ₦6.4M+ in term fees, monitoring 67 outstanding accounts, and active staff pattern detection across multiple roles. Go-to-market through NAPPS Lagos referral network.