Instructor Feedback Agent
Aggregates course evaluations per lecturer and reports to the programme coordinator — quality data in, improvement out. Runs in the background so your team does not have to.
Instructor Feedback Agent
Aggregates course evaluations per lecturer and reports to the programme coordinator — quality data in, improvement out.
Ops & Reporting
The problem
What this agent takes off your plate
In education, aggregates course evaluations per lecturer and reports to the programme coordinator — quality data in, improvement out — but doing it manually does not scale. Instructor Feedback is the kind of work that piles up when nobody has dedicated time for it. Context is scattered, SLAs slip, and your team ends up on repeat work instead of the decisions that matter.
- Aggregates course evaluations per lecturer and reports to the programme coordinator
- quality data in
- improvement out.
- Course Evals handled automatically against your rules
How it works
From source to destination
Instructor Feedback connects to Course Evals, Quality, Shopify and your ops & reporting stack. It reads your rules, brand voice and live data — then aggregates course evaluations per lecturer and reports to the programme coordinator — quality data in, improvement out. Exceptions land with your team; everything else runs without another dashboard to check.
Why this agent
Aggregates course evaluations per lecturer and reports to the programme coordinator — quality data in, improvement out.
Outcomes
- Instructor Feedback runs without manual handoffs
- Schools, academies and spends less time on repeat work
- Consistent output every time — not when someone gets to it
- Full trace in your existing systems
Connects to
Writes back
Turn tangled operations into clean, owned automation.
187N reads your tickets, orders and brand rules — then runs the work across every department and writes back to the tools you already use. Your team keeps the exceptions; the agents take the rest.
