Employees

Walk into your comp conversation with evidence.

Turn your recent impact and feedback into clear, quantified talking points for a compensation conversation—instead of walking in with just a feeling that you deserve more.

COPY-READY PROMPT

Using WorkStory, review my recent feedback and impact and help me build clear talking points for a compensation conversation, including quantified examples and how my scope has grown.

Example AI conversation using WorkStory data
Connector guides

Connect WorkStory to your AI workspace.

Choose the AI workspace your team already uses. Setup guides for Claude, ChatGPT, and Codex are available now.

INSIDE YOUR AI WORKSPACE

Turn your impact into talking points.

Take this use case further by turning your evidence into talking points ready for the conversation.

HR use case
01

Get specific about impact

Pull quantified examples of impact where you can—numbers are more persuasive than general recognition.

02

Show the growth

Use WorkStory feedback to show how your scope and responsibility have grown, not just that you did good work.

03

Plan the conversation

Turn the evidence into clear talking points and a strong way to open the conversation with your manager.

TRY THIS FOLLOW-UP

Now turn this into talking points for my comp conversation. Include three quantified examples of impact, recognition from the last two quarters, and how my scope has grown.

Claude compares previous and current performance readiness scores by team using authorized WorkStory data

Related use cases

Explore what else you can ask WorkStory.

Browse practical examples for HR, managers, and employees—each built around a focused question and a useful next step.

Built around the access you already trust

AI only sees what each person is allowed to see.

WorkStory MCP uses the authenticated user’s company account and existing WorkStory permissions. Asking through an AI tool does not grant access to any additional employee data.

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Authenticated and company-scopedRequests are tied to the user and their WorkStory organization.
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Existing permissions still applyThe MCP returns only the information the authenticated user is allowed to access.
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Grounded in WorkStory recordsAnswers can reference feedback, review cycles, performance reviews, and people data available to the user.
Your AI workspace creates the deliverableWorkStory supplies context; connected AI tools can turn it into documents, presentations, and plans.
Frequently asked

A few useful answers.

What is an MCP?

Model Context Protocol is a standard way for AI applications to connect to external tools and data sources. WorkStory MCP gives supported AI tools a governed way to request WorkStory performance context.

Which AI tools can teams use?

WorkStory MCP is intended for MCP-compatible AI clients, including ChatGPT and Claude environments that support MCP connections. Availability and setup can vary by plan and workspace.

Can the AI see everyone’s performance data?

No. Access is tied to the authenticated user’s company and existing WorkStory access rules. The MCP does not grant broader access simply because a question is asked through AI.

Can it create presentations and documents?

WorkStory MCP provides the relevant performance context. If your AI workspace has document or presentation tools connected, you can ask it to use those findings to create the deliverable.

What kinds of WorkStory data can it use?

Depending on the user’s access, it can help work with feedback history, people and account details, review cycles, and performance review information such as scores, comments, submissions, and status.

How do we get started?

Schedule a walkthrough. We will show your team representative use cases, discuss access and setup, and help identify the first high-value workflows for your organization.

See what your team can do

Use AI to turn your team's performance data into action.

Schedule a walkthrough tailored to your goals, tools, and permissions.

Schedule a walkthrough →

Already a WorkStory customer? Ask your account manager.