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AI Student Feedback Summarizer workflow blueprint

Upload student evaluations, get a summary of strengths, improvement areas, and trends

See where this blueprint fits in the production workflow lifecycle
Education
Feedback
Summarization
Analysis
Request access
Pattern
Dag
Agents
2
Functions
0
MCP servers
0

Inputs for the Student Feedback Summarizer workflow

Provide the following information when starting this workflow. Required inputs are validated before the first workflow stage runs.

  • Evaluations

    Required

    Student evaluation data

    Type: String

Input template

This request shape is generated from the blueprint's input schema. Angle-bracket values are placeholders; defaults and examples appear only when the source blueprint defines them.

{
  "evaluations": "<required string>"
}

How the Student Feedback Summarizer AI workflow works

This education & training blueprint uses a dag workflow with 2 agents, 0 functions, and 0 MCP servers. This catalog blueprint is available by request; contact GraphN to discuss access and customization for your use case.

  1. Feedback Analyzer

    Agent using Feedback Analyzer

  2. Summary Writer

    Agent using Summary Writer

Blueprint resources and prerequisites

These are the actual agents, functions, and MCP servers declared by the blueprint. If an MCP server connects to an external system, configure the required connection and credentials in your GraphN workspace before running the workflow.

AI agent

Feedback Analyzer

Analyze student evaluations to identify themes: strengths, improvement areas, trends, and outlier comments.

AI agent

Summary Writer

Write an actionable feedback summary with strengths, improvement areas, trend analysis, and specific recommendations.

Workflow output contract

The completed workflow makes the following output available to downstream steps, applications, or API clients:

Writer

Frequently asked questions

What does the Student Feedback Summarizer blueprint do?
Upload student evaluations, get a summary of strengths, improvement areas, and trends
What inputs does the Student Feedback Summarizer workflow use?
The workflow uses Evaluations. Required fields and their expected formats are listed on this page.
What resources are included in the Student Feedback Summarizer blueprint?
The blueprint contains 2 AI agents, 0 functions, 0 MCP servers. Its workflow pattern is Dag.
Can I customize the Student Feedback Summarizer blueprint in GraphN?
This blueprint is currently available by request. Contact GraphN to discuss access and customization for your use case.

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