Natnael Alemseged
AboutProjectsTestimonialsWork Experience
© 2026 Natnael Alemseged. All Rights Reserved.
Secure Agent Protocol // Latency Critical // Addis Ababa

Ordo – Outcome-Based Performance & Compensation System

Full-Stack Engineer

A full-stack performance management platform that enables clear goal setting, evidence-based execution tracking, fair evaluations, and transparent performance-linked payouts—built entirely on Next.js with a strong audit and access-control foundation.

"Performance systems earn trust when incentives, evaluations, and payouts are measurable, explainable, and permanently traceable."
Screenshot 2025-12-23 at 4.29.07 in the afternoon
Zoom
Screenshot 2025-12-23 at 4.26.21 in the afternoon
Zoom
Screenshot 2025-12-23 at 4.27.43 in the afternoon
Zoom
Screenshot 2025-12-23 at 4.28.06 in the afternoon
Zoom

Problem

Most performance management systems rely on subjective reviews, opaque scoring, and disconnected compensation workflows, leading to misaligned incentives, distrust, and disputes between employees and management.

Solution

Built a unified performance system where goals are measurable, progress is verifiable, evaluations are structured, and compensation is directly derived from performance—fully auditable and protected by strict role-based access control.

Architecture

A single full-stack Next.js application using the App Router and server actions for backend logic. Authentication is JWT-based using jose, with Prisma handling database access and schema migrations. PostgreSQL is hosted on Neon. Core domains include roles, goal templates, goals, check-ins, evaluations, payouts, notifications, and audit logging. The system emphasizes strong invariants, snapshot-based calculations, and immutable audit records. Deployed on Heroku with a production custom domain.

Key Features

  • ✓Role-based goal templates and structured goal creation
  • ✓Automatic goal scoring and point-based performance system
  • ✓Progress tracking with check-ins and proof of work
  • ✓Evaluator approvals, edits, and structured evaluations (0–100%)
  • ✓Performance-linked compensation (cash, deferred, equity)
  • ✓Snapshot-based payout computation for traceability
  • ✓Strict role-based access control (Employee, Evaluator, Admin)
  • ✓Append-only audit trail with field-level diffs
  • ✓Automated reminders and policy breach alerts
  • ✓Executive dashboards for performance insights

Deep Dive

Ordo is a full-stack performance management and compensation platform built entirely on Next.js.

Employees create goals from predefined role-based templates, ensuring alignment with company priorities. Each goal automatically carries a point value, making performance comparable across roles.

Execution is tracked through structured check-ins where employees log progress and attach proof of work. Evaluators approve goals, record 0–100% performance evaluations, and must provide reasons for edits or overrides. All changes are captured with field-level diffs.

At the end of a cycle, Ordo converts performance scores into payouts. Admins configure payout weights (cash, deferred, equity), and the system computes earned amounts while snapshotting all inputs and outputs for future verification.

The platform enforces strict role-based access, maintains an append-only audit trail for every write operation, and sends automated reminders and alerts for deadlines, overdue evaluations, and policy breaches.

Leader dashboards surface execution health, alignment with priorities, and performance trends across teams.

Tech Stack

Next.js (App Router)TypeScriptPrismaPostgreSQL (Neon)JWT (jose)HerokuTailwind CSSRadix UIRedux ToolkitZodRecharts

Tags

#Performance Management#Compensation Systems#Audit Logging#Role-Based Access Control#HR Tech#Enterprise SaaS#Full-Stack Next.js#System Design

Project Metrics

Duration

Multi-phase (V1–V3)

Team Size

1 person

Impact

Designed and implemented a transparent, auditable performance system that directly links goal execution to compensation, reducing subjectivity and disputes.

Live Platform

More Web Software

Case studies in similar engineering domains.

AI By The Hour – AI Tools & Career Automation Intelligence Platform

→

A large-scale AI discovery and career intelligence platform that aggregates AI tools from across the web, enriches them with AI-generated metadata, and maps them to careers, tasks, and automation potential—helping professionals understand how AI can automate their daily work.

AI-Workspace

→

Engineered a modular, production-grade backend framework designed specifically to power AI workspaces. Implements robust token caching, graceful rate-limit handling, circuit breakers, and WebSockets for real-time state streaming.

TRP1 AI Artist

→

Async multi-provider AI content generation framework for music, video, and images with plugin providers, style presets, CLI workflows, job tracking, duplicate detection, and cost controls.