EvalFlow AI Assistant (Evalbot)
What is Evalbot?
Evalbot is the intelligent AI assistant embedded throughout Evalflow — your 24/7 co-pilot for managing performance, engagement, and team growth. Built with advanced OpenAI models, Evalbot goes far beyond chat. It’s a predictive, context-aware assistant that actively supports HR leaders, managers, and employees across every workflow.
Why Evalbot is Ahead of Its Time
Context Awareness: Evalbot understands where you are in the app and what role you're playing — feedback, OKRs, recognition, tasks, evaluations, or strategy.
Data-Driven: It analyzes real-time employee data from across Evalflow — feedback, OKRs, impact scores, and more — to give accurate, contextual answers.
Predictive Intelligence: Evalbot doesn't just respond. It anticipates. It warns you about at-risk goals, low engagement, or coaching gaps.
Natural Language Understanding: Type like a human — Evalbot understands your intent and returns structured insights instantly.
Secure & Scoped: It honors permissions and role access — no unauthorized data leaks, ever.
Where to Find Evalbot
Feedback forms
OKR creation and updates
Recognition suggestions
Evaluation writing
Dashboard insights
In the chat bubble on every page
What You Can Ask or Use Evalbot For
Feedback Creation
Write or refine constructive feedback in seconds
Detect tone and flag potential bias
Suggest professional wording with optional anonymity
Try: "Give feedback to Sophie about her leadership in the product demo."
OKR Generation
Draft SMART goals and key results from simple prompts
Recommend stretch goals based on team role
Flag unrealistic or vague objectives
Try: "Create OKRs for a new sales manager in North America."
Recognitions
Suggest recognitions for team members based on recent performance
Auto-tag impact fields and categories (e.g. Collaboration, Innovation)
Try: "Write a quick recognition for Maya’s support during onboarding week."
Evaluations
Draft performance evaluations from raw notes, OKRs, and feedback
Maintain professional tone, clarity, and developmental focus
Compare performance trends over time
Try: "Draft an evaluation summary for Alex for Q2 based on his last 3 OKRs and recognitions."
Performance Trends & Analytics
Get summaries of team or individual performance
Analyze strengths, gaps, or risk areas
Detect patterns from tone, sentiment, and frequency of feedback
Try: "Summarize team performance for my Customer Support group this quarter."
Predictive Insights
Identify employees trending downward before reviews
Highlight risk areas across objectives or engagement
Support succession planning through impact score trends
Try: "Which team members show the most improvement in Innovation this month?"
Best Practices for Using Evalbot
Be conversational — Evalbot is trained to understand natural phrasing
Use impact fields and categories to refine your results
Combine your insights with human judgment for optimal decisions
Leverage Evalbot early — don’t wait for review season
What Evalbot Doesn't Do
It won't override manager discretion
It doesn’t make final decisions — it informs them
It can’t access data beyond your role or permissions
A True HR Copilot
Evalbot isn't just a chatbot. It's the brain of Evalflow — designed to simplify your work, uncover performance signals early, and make HR data instantly useful.
From daily tasks to high-level analysis, Evalbot is there to help you act faster, lead smarter, and grow stronger teams.
What is Evalbot?
Evalbot is Evalflow’s built-in AI assistant available across the platform. It helps with:
Answering HR-related questions.
Generating feedback, OKRs, and evaluations.
Predicting trends and identifying risks.
Summarizing employee performance with real-time analysis.
Where to Find Evalbot
Inside the feedback, OKR, evaluation, and dashboard screens.
In the bottom-right chat bubble of the platform.
What You Can Ask Evalbot
"How is my team's performance trending this quarter?"
"Suggest OKRs for a new marketing coordinator."
"Write feedback for Olivia’s project leadership."
"Draft a full performance review for Ben using his last 60 days of feedback and OKRs."
Last updated
Was this helpful?