Top AI Prompts for Interview Success

Outline 5 innovative interview question themes for a software developer role, inspired by the ‘Tech Hiring Q2’ document.

Use Case: Accelerates question development using proven frameworks.

ClickUp Brain Behaviour: Analyzes content and themes from the linked document to propose targeted question categories.

What are the latest behavioral interview trends for entry-level marketing positions in North America?

Use Case: Informs hiring managers with current best practices.

ClickUp Brain Behaviour: Draws insights from internal HR research; Brain Max can supplement with relevant external data when available.

Draft an interview guide for assessing leadership skills, referencing ‘Leadership Competency Framework’ notes and past evaluation templates.

Use Case: Aligns interviewers on consistent evaluation criteria.

ClickUp Brain Behaviour: Extracts key points and structured content from linked files to create a comprehensive guide.

Summarize candidate assessment benchmarks between junior and senior project managers using the ‘PM Evaluation Q1’ document.

Use Case: Facilitates clear comparison without manual data review.

ClickUp Brain Behaviour: Pulls tabular and narrative data from internal docs to generate a concise summary.

List top skills prioritized in tech sales interviews, referencing recent hiring reports and recruiter feedback.

Use Case: Helps tailor interview focus to key competencies.

ClickUp Brain Behavior: Scans documents to identify frequently mentioned skills and relevant notes.

From the ‘Coding Challenge Evaluation’ doc, generate a checklist for technical test scoring criteria.

Use Case: Simplifies evaluation planning with a ready-to-use format.

ClickUp Brain Behavior: Extracts scoring elements and formats them into a structured checklist within a task or document.

Summarize 3 emerging trends in virtual interview techniques from post-2023 HR research and technology reviews.

Use Case: Keeps hiring practices modern and evidence-based.

ClickUp Brain Behavior: Identifies recurring themes and insights from linked research notes.

From the ‘Gen Z Candidate Preferences’ survey, summarize key expectations for interview experiences.

Use Case: Helps recruiters tailor processes to younger applicants.

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

Write clear and engaging interview invitation email templates using the tone guidelines in ‘RecruitmentTone.pdf’.

Use Case: Speeds up candidate communication with consistent messaging.

ClickUp Brain Behavior: References tone documents to suggest varied, on-brand email drafts.

Summarize recent changes in employment law affecting interview questions and candidate privacy.

Use Case: Ensures compliance with legal standards during hiring.

ClickUp Brain Behavior: Condenses internal compliance updates; Brain Max can add public legal info if available.

Generate guidelines for remote interview setup and candidate experience, referencing company policies and best practices.

Use Case: Improves virtual interview consistency and professionalism.

ClickUp Brain Behavior: Extracts rules and recommendations from internal documents to form a practical checklist.

Create a post-interview feedback form template using insights from ‘Candidate Feedback Analysis’ and HR best practices.

Use Case: Supports structured and constructive candidate evaluations.

ClickUp Brain Behavior: Synthesizes key feedback points into a clear, actionable form layout.

Compare interview techniques for remote versus in-person roles using recent HR strategy documents.

Use Case: Guides hiring teams in adapting approaches effectively.

ClickUp Brain Behavior: Summarizes documented differences into an easy-to-digest comparison.

Identify common candidate experience pain points from recent recruitment surveys and suggest improvements.

Use Case: Enhances hiring process satisfaction and employer branding.

ClickUp Brain Behavior: Extracts and prioritizes issues reported across feedback channels.

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 interview scenario clearly

Vague prompts yield unfocused responses. Specify details like role type (e.g., “junior developer” or “senior project manager”), interview format (e.g., “technical coding challenge” or “behavioral discussion”), or candidate background (e.g., “recent graduates” or “experienced professionals”).

Example: “Generate questions assessing problem-solving skills for a mid-level software engineer.”

Use comparative prompts to evaluate options

AI excels at drawing distinctions between alternatives. Use prompts like “compare candidate A vs candidate B” to weigh strengths, contrast interview techniques, or analyze assessment methods.

Example: “Compare situational interview questions versus traditional competency questions for sales roles.”

Frame prompts around hiring objectives

Treat your prompt as a goal-oriented task. Instead of “List interview questions,” focus on outcomes:

Example: “Develop a question set to identify leadership potential in team leads within a fast-paced startup.”

Specify desired output format

Need a scoring rubric, question categories, or candidate evaluation checklist? Be explicit. AI delivers better when the response format is clear.

Example: “Provide 5 behavioral interview questions in bullet points with explanations for each.”