> ## Documentation Index > Fetch the complete documentation index at: https://docs.topicflow.com/llms.txt > Use this file to discover all available pages before exploring further. # AI-Assisted Feedback Drafting > How Topicflow AI helps write clear, actionable feedback # AI-Assisted Feedback Drafting Topicflow AI can help draft feedback by analyzing work context and suggesting specific, actionable observations. But humans review, edit, and decide what to send. ## How AI assists with feedback Topicflow AI can help with feedback in several ways: **Drafting feedback based on work context** AI can analyze: * Recent projects and accomplishments * Work activity from integrations (commits, PRs, tasks, etc.) * Meeting notes and discussions * Goal progress And suggest feedback like: * "Over the last month, you shipped 3 major features while maintaining code quality and mentoring a junior engineer" * "Your communication on the billing project was proactive — you flagged risks early and kept stakeholders informed" **Improving clarity** If you have rough feedback notes, AI can help structure them: * You write: "good at solving bugs fast" * AI suggests: "You consistently resolve production issues quickly, often within hours, which minimizes customer impact" **Suggesting examples** If your feedback is vague ("You need to communicate better"), AI can reference specific situations: * "In the last two project updates, key details were missing, which led to follow-up questions from stakeholders" **Balancing tone** AI can help make constructive feedback clear but not harsh: * Too harsh: "Your presentations are bad" * AI suggests: "Your presentations could be more structured — consider outlining key points upfront and limiting detail" ## What AI can and cannot do **AI can:** * Suggest feedback based on documented work and activity * Reference specific projects, goals, or meetings * Help structure feedback clearly * Identify patterns over time **AI cannot:** * Observe behavior it doesn't have data for (e.g., in-person interactions, undocumented conversations) * Make judgments about performance (that's the human's role) * Know the recipient's personal context or challenges * Replace thoughtful human feedback AI is a drafting assistant, not a feedback decision-maker. ## How to use AI for feedback drafting **Start with a prompt** Example prompts: * "Draft feedback for \[person] about their work on the Q1 project" * "Suggest feedback for \[person] based on their recent accomplishments" * "Help me write constructive feedback about \[person]'s communication on the last project" * "Draft positive feedback for \[person]'s collaboration with the design team" **Review and edit the draft** AI will generate a draft, but you should: * Verify that it's accurate (AI might miss context) * Adjust tone if needed * Add personal observations AI doesn't have * Remove anything that doesn't feel right **Add your own perspective** AI doesn't know: * How the person responded to challenges * Interpersonal dynamics * Non-work context affecting performance * The recipient's communication preferences Always add your human judgment. **Submit feedback** Once you've reviewed and edited, submit the feedback through Topicflow. ## Example: AI-assisted feedback workflow **Manager's observation:** "I want to give feedback to Jordan about the API migration project." **Manager asks AI:** "Draft feedback for Jordan about their work on the API migration project" **AI suggests:** "Jordan led the API migration project effectively, delivering it 2 weeks ahead of schedule. Their project plan was detailed and included clear milestones and risk mitigation strategies. They proactively communicated status updates to stakeholders and unblocked the team when dependencies arose. One area for growth: the post-launch retrospective could have been more structured to capture learnings for future projects." **Manager reviews and edits:** * Adds: "I particularly appreciated how you handled the unexpected database schema issue — escalating quickly and coordinating with the infrastructure team showed good judgment." * Adjusts: Changes "One area for growth" to "For next time, consider facilitating a structured retrospective to document what worked and what didn't." **Manager submits the edited feedback.** The AI draft saved time, but the manager's edits added specific observations and personalized tone. ## When to use AI for feedback drafting **Useful when:** * You have limited time but want to give thorough feedback * You want to reference specific work activity or accomplishments * You're struggling to articulate observations clearly * You want to ensure feedback is balanced and specific **Less useful when:** * The feedback is about interpersonal dynamics AI can't see * The situation is sensitive and requires careful human wording * You don't have documented work context for AI to reference ## Best practices **Don't send AI drafts unedited** Always review and personalize AI-generated feedback. **Verify accuracy** Make sure AI's references to projects, goals, or accomplishments are correct. **Add personal observations** Include things you noticed that AI couldn't. **Adjust tone** AI-generated feedback can feel generic. Add warmth or directness as appropriate. **Use AI to save time, not replace thought** AI speeds up drafting, but thoughtful feedback still requires human judgment. ## Privacy and AI feedback drafts **What AI can access for drafting:** * Work activity from integrations (based on permissions) * Meeting notes where you're a participant * Goals and progress updates * Past feedback you've given or received **What AI cannot access:** * Private feedback not visible to you * Meetings you're not part of * Confidential performance data you don't have access to AI respects the same visibility rules as the rest of Topicflow. ## What's next Learn best practices for effective feedback Explore more Topicflow AI capabilities Ask for feedback from others