HR & People teams 01
See where the organization needs to grow.
AskAcross Engineering and Customer Success, which skills appear most often as development gaps? Create a 10-slide L&D plan for Q4.
↗Gap analysis + presentation plan
WorkStory MCP
Chat with your team’s performance data.
Connect WorkStory to AI tools like ChatGPT and Claude so HR, managers, and employees can ask questions, uncover patterns, and turn what they learn into presentations, 1:1 plans, coaching guidance, and more.
Already a WorkStory customer? Ask your account manager about WorkStory MCP.
✓Permission-aware access✓Works with MCP-compatible AI✓Answers grounded in WorkStory
WorkStory performance analysis
What learning and development gaps show up most often across the team? Build a Q4 plan.
I found three recurring development themes across recent feedback:
Strategic communication28 mentions
Coaching & delegation21 mentions
Cross-functional planning17 mentions
Q4 L&D Roadmap10-slide presentation outline · Ready to review
See it in action
Meet WorkStory's MCP.
Watch how a simple question can turn years of performance context into a clear, actionable answer.
WorkStory MCP explainer · Playback controls available in the player
Performance intelligence for every level of the organization
HR & People teams
Managers & leaders
Employees & individuals
Ask better questions
Stop pulling reports. Start a conversation.
The value in performance data is not another dashboard. It is the ability to ask the question that matters now—and leave with something useful.
Managers 02
Walk into every 1:1 prepared.
AskReview Jordan’s feedback from the last 90 days. Create a 1:1 agenda that celebrates strengths and addresses recurring blockers.
↗Discussion brief + coaching questions
Employees 03
Turn feedback into a path forward.
AskBased on my feedback and goals, what would demonstrate readiness for the next level? Build a practical 30-day growth plan.
↗Growth priorities + action plan
Inside your AI workspace
WorkStory context in your favorite AI tool.
Use natural language in the AI tool your team already prefers. WorkStory supplies the performance context; the AI helps analyze, structure, and create.
HR use case
Turn team-wide performance gaps into an all-hands story.
Ask across departments, feedback themes, or review periods. Then ask your connected AI tools to turn the findings into an executive-ready learning plan.
Team development analysis
Using WorkStory, help me identify the most important performance gaps across our teams and create a presentation for our Q3 all-hands meeting.
Across Engineering, Customer Success, and Operations, three gaps appear most often: delegation, cross-functional communication, and strategic planning. I grouped the findings by team, added supporting themes, and created a Q3 all-hands presentation with recommended actions.
EngineeringDelegation
Customer SuccessStrategic account planning
OperationsCross-functional communication
Q3 Performance Gaps — All-Hands.pptx10 slides · Team findings, themes, actions, owners
Using WorkStory, review Taylor’s feedback from the last 90 days and help me prepare for our next 1:1. Highlight strengths, recurring challenges, coaching questions, and a clear follow-up plan.
1:1 preparation
Taylor is consistently recognized for calm client leadership and strong follow-through. The clearest recurring opportunity is escalating scope changes earlier, before they affect timelines.
1:1 conversation planTaylor · 30 minutes
ReadyRecognizeCalm client leadership
ExploreEarlier scope escalation
Conversation flow
1Celebrate a recent win
2Explore the pattern
3Agree on support
Next-step commitmentFlag scope changes within 24 hours
Manager use case
Walk into every 1:1 with a clear, personalized plan.
Synthesize months of feedback into balanced talking points, examples, coaching questions, and follow-up commitments for a more useful 1:1.
Employee use case
See what you need to do to reach the next level.
Connect recurring feedback to role expectations, visualize current strengths and growth areas, and leave with a focused development plan.
Promotion readiness coaching
Based on my feedback and goals, where am I closest to Senior Product Manager expectations—and what should I focus on next?
You are strongest in execution and cross-functional collaboration. Strategic influence and team leadership are the clearest opportunities to demonstrate next-level readiness.
Readiness by competencyBased on recent feedback
Execution86
Collaboration78
Strategy64
Leadership58
30-day growth plan4 actions · Examples to demonstrate · Weekly check-ins
How it works
Go from performance feedback to action, instantly.
MCP gives AI tools a standard, permission-aware way to request the WorkStory context needed to answer a question.
01
Connect
Add WorkStory MCP to a supported AI workspace and authenticate.
02
Ask
Use natural language to explore feedback, reviews, goals, people, or cycles.
03
Understand
Get patterns and summaries grounded in the WorkStory records you can access.
04
Create
Use your AI workspace to turn those findings into plans, agendas, documents, or slides.
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.
🔐
Authenticated and company-scopedRequests are tied to the user and their WorkStory organization.
🛡️
Existing permissions still applyThe MCP returns only the information the authenticated user is allowed to access.
🗂️
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 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
What could you unlock if performance data could answer back?
Bring a real question from HR, a manager, or an employee. We’ll show you how WorkStory MCP can help turn it into action.
Already a WorkStory customer? Ask your account manager about WorkStory MCP.
