Aynstyn Intel

Internal analytics platform giving admins real-time learner visibility through Bloom’s Taxonomy tracking and knowledge-gap heatmaps.

status completed

stack Next.js, TypeScript, PostgreSQL, Data visualization

An internal analytics platform I architected at Aynstyn, giving admins real-time visibility into learner performance via Bloom’s Taxonomy distribution tracking, knowledge-gap heatmaps and cohort funnel analytics.

problem

Admins had no way to see where learners were actually struggling — only raw completion numbers, which say nothing about which cognitive level or which topic is failing.

solution

An analytics layer that classifies activity by Bloom’s Taxonomy level and surfaces gaps as heatmaps, alongside cohort funnel analytics.

architecture

Bloom’s Taxonomy distribution tracking over learner activity
Knowledge-gap heatmaps by topic and cognitive level
Cohort funnel analytics
Real-time admin dashboard

results

Admins get real-time learner visibility instead of completion counts.