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A manager sits at a desk reviewing a digital performance document that automatically pulls together employee goals, peer feedback, and recent project wins into a clean layout.
Draft performance reviews

Performance review prep assistant

Pulls goals, peer feedback, and recent wins into a first draft the manager edits.

HRToolAi ImplementationTier momentum

Possibilities

Where this could go

A dashboard showing a timeline of employee achievements, peer feedback messages, and completed goals pulled from various integrated workplace tools.

Gather Feedback And Goals Automatically

The assistant connects to your existing tools to pull employee objectives and peer reviews into one central view.

  • Connects to your HRIS to import current quarter objectives.
  • Aggregates peer feedback from your communication tools.
  • Highlights completed projects from your task management software.
  • Organizes all gathered data into a single timeline view.
A split screen interface showing raw employee data on one side and a structured, written performance review draft generated from that data on the other.

Draft Performance Reviews From Gathered Data

Large language models synthesize the collected data into a structured performance review draft for managers to edit.

  • Creates structured review documents
  • Summarizes peer feedback themes
  • Highlights major quarterly accomplishments
  • Flags areas needing manager input
A split screen interface showing a drafted performance review on one side and the original source feedback on the other for easy verification.

Keep Managers In Total Control

Managers review the generated draft to adjust tone, add personal context, and finalize the performance evaluation.

  • Easy text editing interface
  • Side by side source data view
  • Custom tone adjustment options
  • Export to standard HR platforms

Questions

Things people ask

Which HR platforms can this assistant connect to?

We build integrations for major platforms like Workday, Lattice, and BambooHR. The tool can also pull unstructured data from Slack and Microsoft Teams. If you use custom internal software, we can connect via standard APIs.

How does the tool handle sensitive employee feedback?

The assistant processes data securely within your existing cloud environment. We configure strict access controls so managers only see feedback for their direct reports. No employee data is used to train public AI models.

Can the AI write the final review without manager input?

The tool is designed strictly as a first draft generator. Managers must review, edit, and approve the content before it becomes an official record. This ensures the final evaluation maintains a human touch and accurate context.

How do we customize the format of the generated reviews?

We map the output to match your company specific performance rubrics and evaluation templates. You provide the structure and the assistant populates the relevant sections accordingly. Managers can also adjust the default tone.

Does this work for both quarterly and annual reviews?

Yes, the assistant adjusts its scope based on the timeframe you select. It will aggregate data from the past three months for a quarterly check in or pull a full year of feedback for annual evaluations.

What happens if there is conflicting peer feedback?

The tool summarizes all feedback objectively and presents differing viewpoints in a neutral manner. It highlights these areas specifically so the manager can investigate and make the final judgment call. The original source text is always available for reference.

How long does it take to deploy this solution?

A standard deployment takes about four to six weeks depending on the number of data sources. This includes connecting your HR tools, configuring the AI prompts, and testing the output with a small group of managers. We handle the entire technical setup.