Managers
Build a promotion case backed by real evidence.
Turn months of recognition, scope growth, and recurring strengths into a clear, evidence-backed promotion case—instead of trying to remember it all the night before the committee meets.
Using WorkStory, review feedback and recognition from the last two review periods for [team member’s name]. Identify evidence of next-level work, organize it by competency, and note where more evidence is still needed.

Turn the evidence into a promotion packet.
Take this use case further by turning the evidence into a promotion packet structured around your leveling framework and ready for committee review.
Confirm readiness
Decide which next-level competencies you need the strongest possible case for before you start pulling evidence.
Ask for the evidence
Use WorkStory feedback and recognition to surface strengths, growth, and specific examples of next-level work.
Build the case
Organize the evidence by competency, add the strongest examples, and note any gaps to address before the committee meets.
Now turn this into a promotion packet for the committee. Structure it around the next level's core competencies, with two examples per competency, quantified impact where possible, and a summary of readiness.

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.
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.
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.

