Managers
Prepare a better 1:1.
Turn recent WorkStory feedback into a focused conversation that recognizes strengths, addresses one important coaching opportunity, and ends with a clear next step.
Using WorkStory, review feedback from the last 90 days for [team member’s name] and prepare our next 1:1 with strengths, one coaching priority, questions, and a clear next step.

Turn feedback into a stronger 1:1.
Go beyond a feedback summary with a balanced, human conversation plan the manager can review and personalize.
Set the purpose
Decide whether this 1:1 should recognize progress, remove a blocker, or focus on one development priority.
Ask for the evidence
Use recent WorkStory feedback to surface strengths, one recurring coaching opportunity, and concrete examples to discuss.
Plan the conversation
Turn the findings into a balanced agenda, open-ended questions, and one measurable follow-up action you can agree on together.
Now turn this into a 30-minute 1:1 agenda. Begin with two specific strengths to recognize, include one coaching topic with supporting examples, add five open-ended questions, and finish with one agreed action, an owner, and a date to revisit progress.

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.

