Growth Conversation Prep
Turn an employee’s work, feedback, and career framework into a concrete plan for meaningful growth.
What it does
Synthesizes an employee’s Growth Areas, goals, feedback, updates, and career expectations into an evidence-based development conversation and action plan.
When to use
Use before a career conversation, development check-in, or 1:1 when you want to give clear coaching and help an employee take ownership of growth.
prompts
Prepare me for a career growth conversation with [employee name]. Use their Growth Areas, active goals, recent updates, feedback, 1:1 notes, and Grow Track competencies for their current level. Give me:
- A concise summary of their strengths and recent impact
- The competencies or skills they are already demonstrating well
- One or two meaningful development opportunities tied to expectations for their current role or next level
- Evidence from their goals, feedback, updates, and 1:1s to support the discussion
- A recommended Growth Area with concrete actions, milestones, and ways to measure progress
- A short agenda and coaching questions that help the employee shape their own development plan
Separate direct evidence from suggested manager coaching, and do not infer readiness for promotion without supporting evidence.
Using the attached development plan, career framework or competency expectations, goals, recent updates, feedback, and 1:1 notes for [employee name], prepare a career growth conversation. Summarize their strengths and impact, identify one or two development opportunities, cite evidence for each observation, and recommend a Growth Area with concrete actions, milestones, and measures of progress. Include a short agenda and coaching questions, and distinguish direct evidence from suggested manager coaching.
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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