Top AI Prompts for Recruiters Using ClickUp Brain

List 5 innovative sourcing strategies for mid-level software engineers, based on the ‘Q2 Hiring Trends’ doc.

Use Case: Speeds up talent acquisition by leveraging recent recruitment insights.

ClickUp Brain Behaviour: Analyzes document content to extract and suggest effective sourcing approaches.

What candidate screening criteria are most effective for sales roles under $70K salary in North America?

Use Case: Supports data-driven hiring decisions with market-specific benchmarks.

ClickUp Brain Behaviour: Combines internal hiring data; Brain Max can supplement with relevant external reports if accessible.

Draft a candidate outreach email template inspired by best practices in the ‘Outreach Guide’ and previous successful campaigns.

Use Case: Aligns recruiting teams with consistent and engaging communication.

ClickUp Brain Behaviour: Extracts key messaging points and tone from linked docs to generate a polished email draft.

Summarize interview feedback trends between junior and senior marketing roles using the ‘Interview Q1’ doc.

Use Case: Helps identify evaluation patterns without manual review.

ClickUp Brain Behaviour: Pulls insights from feedback forms and notes to create a concise comparison.

List top assessment tools used for technical hiring, referencing R&D notes and vendor evaluations.

Use Case: Assists in selecting effective evaluation platforms.

ClickUp Brain Behavior: Scans internal documents to highlight frequently recommended tools and their benefits.

From the ‘Candidate Experience Survey’ doc, generate a checklist for improving recruitment touchpoints

Use Case: Streamlines candidate journey enhancements without manual compilation.

ClickUp Brain Behavior: Identifies key improvement areas and formats them into an actionable checklist.

Summarize 3 emerging trends in remote hiring practices from post-2023 HR research and policy docs.

Use Case: Keeps recruitment strategies current and research-informed.

ClickUp Brain Behavior: Extracts recurring themes and recommendations from linked studies and reports.

From the ‘Gen Z Candidate Preferences’ doc, summarize key expectations for employer branding and benefits.

Use Case: Helps HR teams tailor recruitment messaging to younger applicants.

ClickUp Brain Behavior: Analyzes survey data to identify prominent preferences and values.

Write concise and friendly job description snippets for a customer support role using the tone guide in ‘BrandVoice.pdf’.

Use Case: Accelerates content creation with consistent brand voice.

ClickUp Brain Behavior: References tone guidelines to suggest engaging and clear job copy variations.

Summarize key updates in labor law changes for 2025 and their impact on hiring policies.

Use Case: Ensures recruitment compliance with evolving regulations.

ClickUp Brain Behavior: Reviews linked legal documents and summarizes critical changes affecting recruitment.

Generate guidelines for diversity and inclusion metrics reporting, referencing company policy docs.

Use Case: Supports transparent and accountable hiring practices.

ClickUp Brain Behavior: Extracts measurement criteria and reporting standards from internal documents.

Create a checklist for onboarding new hires using the ‘Onboarding Procedures’ folder and HR manuals.

Use Case: Helps HR teams ensure consistent and thorough onboarding.

ClickUp Brain Behavior: Identifies essential steps and formats them into a structured task list.

Compare employee retention strategies across competitors using our market analysis docs.

Use Case: Informs HR planning with competitive insights.

ClickUp Brain Behavior: Summarizes documented strategies into an easy-to-digest comparison chart or summary.

What recruitment technology trends have emerged since 2023?

Use Case: Guides talent acquisition teams toward innovative tools and methods.

ClickUp Brain Behavior: Synthesizes trends from internal reports, industry articles, and vendor briefings.

Summarize candidate feedback highlights from the Southeast Asia recruitment surveys (application process, interview experience, communication).

Use Case: Drives region-specific improvements in hiring processes.

ClickUp Brain Behavior: Extracts and prioritizes feedback themes from survey data and notes.

Define the recruitment scenario clearly

Vague prompts yield broad results. Specify details like role type (e.g., “entry-level software engineer” or “senior marketing manager”), hiring goals (e.g., “diversity-focused recruitment” or “rapid onboarding”), or candidate profile (e.g., “remote workers with 5+ years experience”).

Example: “Generate interview questions for a remote product manager skilled in agile methodologies.”

Use comparative prompts to evaluate options

AI excels at contrasting alternatives. Use prompts like “compare candidate A vs candidate B” to assess qualifications, experience, or cultural fit.

Example: “Compare the skill sets of candidates with backgrounds in finance versus those in consulting for a business analyst role.”

Frame prompts around recruitment objectives

Approach prompts as tasks to achieve specific hiring outcomes. Instead of “List interview questions,” focus on the goal:

Example: “Develop a candidate evaluation framework for a sales role emphasizing communication and negotiation skills.”

Specify desired output formats

Need a scorecard, candidate summary, or outreach email template? Clearly state the format for best results.

Example: “Provide a bullet-point checklist for screening resumes for a junior developer position.”