Performance reviews

A performance review in Admire isn’t a form you fill from memory. Because months of observations, notes, and role metrics are already on the person’s profile, the review is mostly summarizing a record that already exists, then agreeing on it together.

flowchart LR
  M["Meetings"] --> AI
  N["Notes"] --> AI
  O["Observations"] --> AI
  AI --> R["(Draft) Performance Review"]
  classDef ai font-size:30px,font-weight:bold;
  class AI ai;

Generate the summary

1. Gather the period’s evidence. Skill mastery, recent observations, wins and tasks, and metric trends all live on the profile.

2. Summarize it. Use the profile’s Summarize Progress action to turn the period’s progress into a snapshot, or ask your connected AI: over MCP it can read the same observations and draft the review for you.

3. Edit to taste. The draft is a starting point. Adjust the emphasis, add context only you know, and you have a review grounded in evidence rather than impressions.

Gather more than one perspective

For a rounder review, collect feedback from several coaches first. Anyone with a coaching relationship can record observations, and a mentee-managed session lets the person request input from other experts. Those observations all feed the same summary.

Sign off in a Meeting

Hold the review itself as a Meeting. Walk through the summary together, then both people add a digital signature to confirm the review took place and the record is agreed. The signatures stay on the record.

The review, signed off: both people confirm the record, and the signatures stay attached to it.

If something needs to change after sign-off, you can reopen the Meeting and re-sign. For formal, skills-based improvement tracking, see Improvement plans.