360-degree feedback provides rich insights, but reviewing multiple responses can be time-consuming. Teamflect’s AI-powered summaries simplify this process by transforming detailed multi-source input into concise, actionable takeaways. This helps managers, HR, and employees quickly spot themes, strengths, and opportunities for growth.
Teamflect's AI implementation for summarizing Feedback has also been embedded into our 360-degree Feedback component, allowing you to get a comprehensive overview at a quick glance.
Step-by-Step: Viewing AI Summaries in Teamflect
Step 1: Find Your Cycle
To view the results, you will first need to navigate to the cycle of your choice. If the Feedback is about you, you will be able to find it under "My 360-feedback" tab. If the Feedback is about your team, you will be able to find it under the "My team" tab.
Step 2: Navigate to the Results
To see the AI summary, you will need to navigate to the Results section of your Feedback cycle. Once you are in the Results section, you will be able to view the AI summary of the cycle after scrolling down, in the Analysis section.
Understanding the AI Analysis Tabs
Once enough feedback has been collected and the feedback cycle has closed, Teamflect generates a comprehensive AI analysis to help employees, managers, and HR teams turn feedback into action.
The AI analysis is organized into four tabs:
1.. Summary
The Summary tab provides a concise overview of the entire feedback cycle. Rather than reviewing every individual comment, users receive a structured narrative highlighting:
Key insights from the feedback cycle
Summary of strengths
Development areas
Actionable suggestions
The analysis combines quantitative ratings and qualitative feedback to identify recurring themes while preserving reviewer anonymity.
2. Actionable Insights
The Actionable Insights tab focuses on validated strengths and growth opportunities.
To ensure reliability, insights are only surfaced when they are supported by multiple feedback groups and recurring qualitative comments. Each insight includes supporting evidence and representative anonymized feedback excerpts.
This helps managers and employees focus on development areas that consistently appear across the feedback cycle rather than isolated comments.
3. Suggested Goals & Tasks
The Suggested Goals & Tasks tab helps transform feedback into measurable action.
Based on validated development opportunities, Teamflect AI generates recommended goals and tasks that can be created directly within Teamflect. These recommendations are designed to help employees create meaningful follow-up actions and development plans without starting from scratch.
4. Discuss
The Discuss tab allows users to continue exploring their feedback results with Teamflect AI Agent. Users can ask follow-up questions about their results, request clarification on trends, and receive additional coaching guidance based on the context of the completed feedback cycle.
HR Use Cases
Manager Coaching & Debriefs
HR partners use AI summaries to prepare structured coaching sessions for new managers, focusing on the key themes surfaced by peers and team feedback.
Promotion & Talent Review Panels
Instead of reviewing dozens of individual responses, HR can rely on AI summaries to identify high-potential employees and synthesize peer sentiment for decision-making.
Time-Saving Performance Reviews
During peak review periods, HR and managers use AI summaries to quickly understand employee feedback profiles and streamline the performance discussion process.
Final Thoughts
AI-generated feedback summaries in Teamflect help transform detailed, multi-source input into concise, actionable insights — reducing cognitive load while increasing clarity and impact. This feature supports faster decision-making, more efficient reviews, and stronger development conversations across the organization.
For assistance enabling or interpreting AI summaries, please contact your Teamflect administrator or consult the Admin Center.