Top AI Prompts for Performance Review with ClickUp Brain

Identify 5 key performance themes for a mid-level marketing manager based on the ‘Q2 Review Notes’ doc.

Use Case: Accelerates review preparation by highlighting core strengths and improvement areas.

ClickUp Brain Behaviour: Analyzes linked documents to extract recurring performance topics and patterns.

What are the current best practices for remote team collaboration in tech roles under $100K salary?

Use Case: Guides managers to tailor feedback with relevant industry standards.

ClickUp Brain Behaviour: Compiles insights from internal guidelines; Brain Max can supplement with external resources if accessible.

Draft a concise performance summary for a customer service rep emphasizing empathy and resolution skills, referencing ‘Customer Feedback Q1’ and prior evaluations.

Use Case: Aligns feedback messaging across HR and team leads.

ClickUp Brain Behaviour: Pulls relevant comments and notes from linked files to create a structured summary.

Compare goal achievement rates between Sales Team A and Team B using the ‘Sales Metrics Q3’ doc.

Use Case: Facilitates objective performance comparisons without manual data crunching.

ClickUp Brain Behaviour: Extracts and summarizes quantitative and qualitative data into a clear comparison.

List top 5 skill development areas highlighted in recent employee self-assessments, referencing ‘Self-Review 2024’ docs.

Use Case: Supports targeted coaching and training plans.

ClickUp Brain Behavior: Identifies common themes and skill gaps from internal documents.

From the ‘Quarterly Review Process’ doc, generate a checklist for managers to ensure comprehensive evaluations.

Use Case: Standardizes review steps and reduces oversight.

ClickUp Brain Behavior: Transforms procedural notes into an actionable task list within ClickUp.

Summarize 3 emerging trends in employee engagement from recent HR surveys and industry reports.

Use Case: Keeps leadership informed on motivational strategies.

ClickUp Brain Behavior: Extracts key findings and recurring themes from linked research materials.

From the ‘Gen Z Workforce Preferences’ doc, summarize key expectations around feedback frequency and style.

Use Case: Helps managers adapt communication to younger employees’ needs.

ClickUp Brain Behavior: Analyzes survey data to highlight prevalent feedback preferences.

Write clear and encouraging feedback phrases for mid-year reviews using the tone guidelines in ‘HR Voice.pdf’.

Use Case: Speeds up crafting constructive comments aligned with company culture.

ClickUp Brain Behavior: References tone documents to suggest varied phrasing options for review comments.

Summarize recent changes in labor laws affecting performance evaluations and their implications.

Use Case: Ensures compliance in review processes.

ClickUp Brain Behavior: Condenses legal documents and internal memos; Brain Max can access updated regulations if integrated.

Generate guidelines for documenting performance improvement plans, referencing company policy docs.

Use Case: Supports consistent and effective performance management.

ClickUp Brain Behavior: Extracts key policy points and formats them into clear documentation steps.

Create a checklist for peer review feedback collection based on ‘Team Collaboration Standards’ and recent survey data.

Use Case: Streamlines 360-degree feedback processes.

ClickUp Brain Behavior: Identifies essential steps and best practices from linked documents.

What are the latest trends in goal-setting frameworks for hybrid teams since 2023?

Use Case: Guides managers in adopting effective performance targets.

ClickUp Brain Behavior: Synthesizes insights from internal strategy notes and external reports.

Summarize common challenges employees face in remote performance reviews from the ‘Remote Work Feedback’ folder.

Use Case: Informs improvements to virtual evaluation methods.

ClickUp Brain Behavior: Extracts and prioritizes feedback themes from surveys, comments, and tickets.

Summarize key cabin usability gaps from the Southeast Asia EV feedback folder (materials, layout, interactions).

Use Case: Drives region-specific product improvements.

ClickUp Brain Behavior: Extracts and prioritizes user-reported issues across survey responses, feedback notes, and tagged tickets.

Define the review focus clearly

Vague prompts yield vague feedback. Specify aspects like role responsibilities (e.g., “project management” or “client communication”), performance goals (e.g., “meeting deadlines” or “team collaboration”), or review period (e.g., “Q1 2024” or “annual assessment”).

Example: “Provide feedback on a marketing manager’s campaign execution and cross-team coordination.”

Use comparative prompts to evaluate progress

AI excels at drawing distinctions between performance periods or employees. Use prompts like “compare X vs Y” to assess growth, strengths, or areas needing improvement.

Example: “Compare sales figures and client engagement between Q2 and Q3 for the account executive.”

Frame prompts around objectives and outcomes

Treat your prompt as a goal-oriented request. Instead of “Write review comments,” focus on desired insights:

Example: “Summarize key achievements and challenges for a software engineer during the last sprint.”

Specify the output format

Looking for bullet points, summary paragraphs, or action plans? Indicate the structure. AI delivers clearer results when the format is defined.

Example: “List 3 strengths and 3 development areas for a customer support agent in bullet points with examples.”