Calibration Session Prep
Bring the ratings, context, and discussion points together so calibration conversations start with the right evidence.
What it does
Prepares a calibration view with ratings, employee context, evidence from reviews, and potential inconsistencies for the group to discuss.
When to use
Use before a calibration session to spot rating gaps, compare distributions, and focus the conversation on cases that need deeper discussion.
prompts
Prepare me to facilitate the [calibration group] session for [cycle name]. Use the calibration results for the group, titles from the employee directory, and self ratings and comments from the review export. Give me:
- A table of everyone in the group with their manager, title, self rating, and current manager rating
- The group's rating distribution next to the company's
- Anyone whose manager rating is [number] or more points away from their self rating
- Two or three sentences of evidence from each person's reviews
- Ratings that look hard to support from the written comments, so we can discuss them first
Using the attached calibration results, employee directory, and review export for [cycle name], prepare a facilitation brief for the [calibration group] session. Include:
- A table of each person, their manager, title, self rating, and current manager rating
- The group's rating distribution compared with the company's
- Anyone whose manager rating is [number] or more points away from their self rating
- Two or three sentences of evidence from each person's review comments
- Ratings that appear difficult to support with the written comments, so we can discuss them first
Frequently Asked Questions
What is a prompt?
A prompt is a one-time question or instruction you give an AI assistant. For example, you might ask your assistant to use a direct report’s goals, feedback, and updates in Lattice to help you prepare for a performance conversation.
What is Lattice MCP?
Lattice MCP is a secure connector that lets external AI tools (like Claude, ChatGPT, and more) access and act on Lattice data. For example, employees and managers can draft, edit, and submit performance reviews in Lattice without leaving their conversation. Their responses will be rich in Lattice context from previous reviews, 1:1s, feedback, goals, and weekly updates.
What data can Lattice MCP access?
The Lattice MCP Server is designed so that connecting an AI tool never widens user access to Lattice data. It uses the same login, the same permissions, and the same boundaries you already have in the Lattice UI. Lattice MCP will first be able to pull context from performance reviews, 1:1s, feedback, goals, and weekly updates.
What problem does MCP solve?
Lattice MCP helps you avoid switching tabs, exporting data, and copying information between Lattice and external AI tools. It brings Lattice context into the AI assistants they already use so they can complete workflows faster.
Is Lattice MCP a feature of Lattice AI?
No. This differs from Lattice AI, the AI features built into the Lattice product itself. You don't need the MCP Server to use Lattice AI, and the MCP Server doesn't connect Lattice AI to outside tools. Think of Lattice AI as AI inside Lattice, and the MCP Server as the bridge that lets your AI assistant reach into Lattice.
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