What inputs does the Performance Review Drafter workflow use?

The workflow uses Feedback, Employee Name. Required fields and their expected formats are listed on this page.

What resources are included in the Performance Review Drafter blueprint?

The blueprint contains 2 AI agents, 0 functions, 0 MCP servers. Its workflow pattern is Dag.

All blueprints HR & People AI workflow blueprint

AI Performance Review Drafter workflow blueprint

Combine peer feedback and project notes into a structured performance review draft

See where this blueprint fits in the production workflow lifecycle

Performance Review

Feedback

Writing

Request access

Pattern

Dag

Agents

2

Functions

0

MCP servers

0

Inputs for the Performance Review Drafter workflow

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

Feedback
Required
Peer feedback and project notes
Type: String
Employee Name
Required
Employee name
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.

{
  "feedback": "<required string>",
  "employee_name": "<required string>"
}

How the Performance Review Drafter AI workflow works

This hr & people 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.

Feedback Synthesizer
Agent using Feedback Synthesizer
Review Drafter
Agent using Review Drafter

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 Synthesizer

Synthesize peer feedback, project notes, and self-assessment into themes: strengths, growth areas, achievements.

AI agent

Review Drafter

Draft a structured performance review with strengths, growth areas, goal progress, and development plan.

Workflow output contract

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

Drafter

Frequently asked questions

What does the Performance Review Drafter blueprint do?: Combine peer feedback and project notes into a structured performance review draft
What inputs does the Performance Review Drafter workflow use?: The workflow uses Feedback, Employee Name. Required fields and their expected formats are listed on this page.
What resources are included in the Performance Review Drafter blueprint?: The blueprint contains 2 AI agents, 0 functions, 0 MCP servers. Its workflow pattern is Dag.
Can I customize the Performance Review Drafter 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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