New Hire Success
Turn early signals into a focused plan that helps new hires build confidence, connections, and momentum.
What it does
Brings together a new hire’s profile, goals, updates, and 1:1 context to create a practical ramp plan and a more focused manager conversation.
When to use
Use early in a new hire’s journey, or after a role or team change, when you want to identify progress, blockers, and the right next steps.
prompts
Help me prepare for my next 1:1 with [employee name], who started on [start date] or recently moved into [new role/team]. Pull together their profile, active goals, recent updates, and relevant 1:1 notes. Create a practical 30-60-90 day success plan that includes:
- What they have accomplished so far
- Current priorities, open questions, and potential blockers
- The most important relationships, skills, or business context to build next
- Three specific manager actions I can take to help them ramp successfully
- A focused agenda and two or three coaching questions for our next 1:1
Keep it grounded in the available evidence, and flag where more context is needed rather than making assumptions.
Using the attached new-hire onboarding plan, recent 1:1 notes, goals, weekly updates, and any manager notes, create a practical 30-60-90 day success plan for [employee name]. Include accomplishments so far, current priorities and blockers, relationships or skills to build next, three manager actions to support their ramp, and an agenda with coaching questions for our next 1:1. Flag any areas where the available information is incomplete.
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.