Learning analytics leadership can act on

Services

Data Engineering
Dashboards

Technology

React
Python

About the project

Examifly

Cohort analytics without exporting CSVs.

Key challenges

Examifly needed systems that could scale with operational complexity — replacing manual coordination and disconnected tools that slowed decision-making.

Manual workflows consumed team capacity and introduced errors at scale.
Legacy tooling could not support modern analytics or automation requirements.
Integration gaps between departments created data silos and delayed responses.

Project scope

1. Core deliverables

Discovery & architecture: Workflow mapping, technical design, and rollout plan.
Core platform build: Engineering of primary user workflows and integrations.
Data & automation: Pipelines, rules engines, and AI where appropriate.
Launch & enablement: Training, runbooks, and operated handoff.

Real-life implementations

Examifly implementation

Production engineering for learning analytics dashboard — secure, observable, and designed for the team's long-term ownership.

Delivered learning analytics dashboard on schedule with measurable operational improvements
Reduced manual coordination overhead across teams
Integrated with existing systems without big-bang disruption

Impact

Delivered learning analytics dashboard on schedule with measurable operational improvements
Reduced manual coordination overhead across teams
Integrated with existing systems without big-bang disruption
Documented runbooks and monitoring for sustained operations

Production

Grade delivery

Measurable

Business outcomes

Operated

Post-launch support