AI-generated feedback summaries for managers - is this a thing yet?

Yes, this is already a thing. Instead of piecing together feedback from scattered notes, you open Copilot in Microsoft 365. You ask it to pull highlights from your 1:1s, summarize progress on goals, and even draft review comments. In seconds, you have a clear, data-backed starting point—ready for your personal touch.

Example Copilot Prompts:

• “Summarize [employee name]’s progress on their goals this quarter using my OneNote and Teams notes.”
• “List key discussion points from my last three 1:1s with [employee name].”
• “Draft constructive feedback for [employee name] based on recent project outcomes.”
• “Highlight [employee name]’s strengths and suggest one area for development.”
• “Generate talking points for my performance review meeting with [employee name].”

Tip: The more organized your notes and goals are in Microsoft 365, the better Copilot’s suggestions will be.

For more prompt ideas and guidance, see:

• Manager Guide – Microsoft 365 Copilot in Viva Glint
• Prep for year-end reviews with Microsoft Copilot

Yes, this is already a thing. Many companies are now using AI tools to summarize employee feedback for managers. These tools can collect feedback from different sources and turn it into a simple summary, which saves a lot of time. But AI is usually used as a helper, not a replacement. Managers still review and edit the final feedback to make sure it feels personal and accurate.

hi CandyMullany​  yes, it is becoming a thing , but what you’re trying to do (pull goals + feedback + 1:1 notes together automatically) isn’t fully “out-of-the-box” with Copilot yet.

Right now, Copilot works really well when:

The data is already in M365 (Teams chats, meeting notes, emails, docs)

You give it a clear prompt to summarize or draft

Where it struggles is exactly your use case , bringing together structured HR data (goals, ratings, progress) + unstructured notes across systems. Most of that data typically lives in tools like Workday or SuccessFactors, not in M365, so Copilot simply can’t “see” everything in one place.

That said, people are starting to use it in a practical way:

Drafting performance feedback from meeting notes and emails

Summarizing 1:1 discussions into talking points

Rewriting feedback to improve tone and clarity

Generating review bullets based on pasted inputs

Microsoft is also pushing this direction ,using Copilot + agents to aggregate signals (feedback, metrics, surveys) and generate manager insights, but that typically requires Copilot Studio or some level of customization/integration rather than just chat prompts.

What’s working today (in practice):

Instead of expecting full automation, most teams are doing something like:

Here are this employee’s goals, recent feedback, and my 1:1 notes, summarize strengths, gaps, and suggested review comments.

So basically:

You feed the context manually (or via docs)

Copilot structures and drafts the output

What’s missing (today):

Native integration with HR systems

Automatic “360 view” of an employee

End-to-end review generation without human input

If you want to make it work better:

Store 1:1 notes and feedback in OneNote / Loop / SharePoint (so Copilot can access them)

Use consistent templates for goals/feedback

Or go one step further: build a Copilot Studio agent that connects to your HR system

Bottom line: Yes , AI-assisted feedback writing is definitely emerging, and Copilot can already help a lot with drafting and summarizing. But the “fully data-backed, all-in-one feedback generator” you’re describing usually needs custom setup + better data integration, not just standard Copilot chat.