Requesting Feedback

Create a clear, context-rich feedback request that makes it easier for colleagues to share specific, useful input about your work.

Amanda Fesunoff
Amanda Fesunoff
Senior Product Marketing Manager
@
Lattice

What it does

Creates and sends a feedback request to one or more colleagues, with a focused message about a project, skill, or behavior and a defined visibility setting.

When to use

Use after a project, before a review cycle, or when you want targeted input to improve a specific skill, behavior, or working relationship.

prompts

Prompt for Lattice MCP:
Request feedback from [name] about how I handled [project, meeting, or skill]. Ask what worked well and what I could improve, and make the request visible to [me only / me and my manager / everyone with access].
Alternative prompt:
Draft a short feedback request to [name] about [project or skill] based on [notes]. Ask for specific examples of what worked well and one thing I could improve.
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Understanding

Review your direct team’s active goals and recent Updates to identify progress, blockers, and priorities for your next manager action.

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Conversations

Gather the right context and create a focused agenda for a one-on-one that supports meaningful performance conversation and clear follow-through.

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Reviews

Pull together an employee’s goals, feedback, updates, and review history to create a strong first draft of their performance review.

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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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