Spot Risks to High Performers
Pair performance and engagement data to understand what could put your highest performers at risk.
What it does
Identifies high performers and analyzes their engagement feedback to reveal retention risks, key concerns, and action areas.
When to use
Use after performance and engagement cycles to understand whether top talent is less engaged and where retention action is needed.
prompts
Using the most recent performance review cycle, identify our high performers. Then analyze their results from the most recent engagement survey to surface their biggest areas of concern. Highlight whether high performers are less engaged than the broader organization, the themes driving that sentiment, and recommended action areas to help retain them.
Using the attached performance review export and engagement survey results, identify our high performers. Compare their engagement results with the broader organization, identify their biggest concerns and the themes behind them, and recommend action areas that could help retain them. Flag any findings that are based on a small group or limited data.
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.
Your people are your business
Ensure both are successful with Lattice.