Prompt Engineering Cheat Sheet

This Prompt Engineering Cheat Sheet is designed to help and explain the basic component of Prompt Engineering. This Cheat Sheet will help you to draft an effective prompt.

As the evolution of AI and Gen AI Era starts the demand for a good and well-engineered prompt is high. 

A prompt is nothing but the set of instructions that we give to LLM and explaining it, what is the context, how the LLM will assume the scenario, who will be the audience, what is the role of LLM, all these things. 

Prompt engineering is the practice of designing clear, specific prompts to guide AI models toward producing useful, accurate, and creative responses. 

Great prompts reduce misunderstandings and improve results—whether for automating business workflows, crafting content, or solving test cases.

Elements of an Effective Prompt

Use a combination of these to guide the AI for highly relevant, useful outputs.

 

Component Description
1 Role/Persona Describe who the AI should act as. (E.g., “You are a finance manager.”)
2 Context/Background Share relevant details or a scenario (E.g., “Reviewing 2025 Q3 statements …”).
3 Instruction/Task Clearly state the desired action. (E.g., “Summarize the company’s expenses…”)
4 Example(s) Optionally provide sample input/output pairs to show expected format or depth.
5 Input Data Any provided documents, problem statements, or figures to work on.
6 Constraints Set requirements or limits (length, audience, output structure).
7 Output Indicator Clarify the format (list, table, step-by-step, email template, etc.).
8 Audience Specify who the response is for. (E.g., “For the executive team.”)

 

Core Prompt Patterns (With Tips)

 

Zero-shot Directly state your task. Best for simple Q/A.
Few-shot Show 1–3 samples—model follows the pattern.
Chain-of-thought Ask AI to explain its logic step-by-step.
Role Play Set an expert role for tone and reliability.
Structured/Explicit Format Specify list, table, or sections.
Negative Constraint Say what to avoid (“Do not use”)

 

Download in Prompt Engineering Cheat Sheet PDF

 

50 Real-Life Example Prompts

Prompt Engineering for HR

  1. Role: HR manager
    Context: Onboarding remote employees next Monday
    Instruction: Create a checklist for their first day
    Constraint: Bullet points
    Audience: Operations team
  2. Role: HR tester
    Context: Testing leave approval workflows
    Instruction: List three test scenarios (including denial cases)
    Audience: QA team
  3. Role: Payroll officer
    Context: Monthly payroll errors surfaced in audits
    Instruction: Identify likely error causes and provide checks
    Constraint: Numbered list
  4. Role: Diversity officer
    Context: Improving ratios in engineering
    Instruction: Suggest two practical hiring policy changes
    Constraint: One sentence each
  5. Role: Employee relations lead
    Context: Survey shows low morale among new hires
    Instruction: Propose four actionable steps for HR
    Constraint: Bullet points
  6. Role: HR systems analyst
    Context: Bulk upload of employee data
    Instruction: List potential integrity issues to test
    Constraint: Bullet points
  7. Role: Recruiter
    Context: Attracting senior sales talent
    Instruction: Write a compelling job summary
    Constraint: Maximum 50 words
  8. Role: HRIS tester
    Context: Reviewing new employee portal
    Instruction: List four tasks’ employees should complete
  9. Role: HR communications
    Context: Annual performance reviews
    Instruction: List three key reminders for managers
  10. Role: HR compliance
    Context: Offices in three countries
    Instruction: List tests for local benefit law compliance

Prompt Engineering for Finance

  1. Role: Senior financial analyst
    Context: Reviewing Q3 earning report
    Instruction: Summarize the three biggest expense categories
    Constraint: Bullet list
  2. Role: Accountant
    Context: International remittance workflow
    Instruction: List compliance risks to test
    Constraint: Table format
  3. Role: Finance controller
    Context: Month-end expense review
    Instruction: Identify possible anomalies for investigation
  4. Role: Auditor
    Context: Startup financials
    Instruction: List five steps for cash flow forecast
  5. Role: Tax advisor
    Context: India-US operations
    Instruction: Compare corporate tax structures
    Constraint: Bullet list
  6. Role: Compliance reviewer
    Context: Preparing for audit
    Instruction: List documents needed for compliance check
    Constraint: Numbered list
  7. Role: Accounts receivable team
    Context: Multiple overdue invoices
    Instruction: Write a polite payment reminder email
    Constraint: 80 words or less
  8. Role: Payroll systems tester
    Context: Employee bonus module
    Instruction: Create edge test cases for bonus payout
  9. Role: Internal controls lead
    Context: All accounting is manual
    Instruction: Identify three risks and suggest control steps
  10. Role: Finance manager
    Context: Material costs rising
    Instruction: Model business impact with a short explanation

Prompt Engineering for Legal

  1. Role: Contract manager
    Context: SaaS agreement review
    Instruction: Extract five critical clauses for compliance
    Constraint: Numbered list
  2. Role: Data privacy officer
    Context: GDPR audit
    Instruction: Create a checklist of requirements
    Constraint: Five items minimum
  3. Role: Legal QA
    Context: Automated clause extraction tool
    Instruction: Create test cases (missing clause, extra, typo)
  4. Role: Paralegal
    Context: Comparing two contracts
    Instruction: List main differences and their implications
    Constraint: Table format
  5. Role: Compliance specialist
    Context: International vendor agreements
    Instruction: List three compliance risks and how to test for them
  6. Role: Litigation support
    Context: Document discovery for lawsuit
    Instruction: Extract all date references from sample docs
  7. Role: Policy drafter
    Context: New data sharing rule for healthcare
    Instruction: List legal principles to address
    Constraint: Bullet points
  8. Role: Legal researcher
    Context: State employment law changes
    Instruction: Summarize main updates for HR
    Constraint: Maximum 80 words
  9. Role: Legal tech QA
    Context: Smart contract validation
    Instruction: Create prompt for three possible errors
  10. Role: IP attorney
    Context: Trademark protection for new logo
    Instruction: List steps, in correct order
    Constraint: Numbered list

Prompt Engineering for Product Management

  1. Role: Product manager
    Context: Launching new analytics dashboard
    Instruction: List five test cases for chart accuracy
    Constraint: Bullet list
  2. Role: UX researcher
    Context: App onboarding flow update
    Instruction: Suggest two positive and two negative test scenarios
  3. Role: Product analyst
    Context: Beta test of new feature
    Instruction: Write three example bug reports
  4. Role: Feature owner
    Context: International users receive notifications
    Instruction: Specify two edge cases about time zones
  5. Role: Product manager
    Context: Reviewing pricing A/B experiments
    Instruction: Compare effects on conversions
    Constraint: Summary under four sentences
  6. Role: Growth lead
    Context: Landing page test
    Instruction: Draft feedback collection scenarios
  7. Role: QA engineer
    Context: Slack integration launch
    Instruction: Suggest test flows for messages, edits, deletes
  8. Role: Localization lead
    Context: Releasing app in three languages
    Instruction: List challenges and checks for translation
  9. Role: Support analyst
    Context: Updating AI chatbot
    Instruction: Write three realistic user questions for testing
  10. Role: Roadmap manager
    Context: Prioritizing user feature requests
    Instruction: Write template for tracking requests with fields: user, need, impact, priority

Prompt Engineering for Sales

  1. Role: Sales manager
    Context: End-of-quarter period
    Instruction: Draft short motivational email
    Constraint: Under 70 words
  2. Role: Sales operations analyst
    Context: Cleaning CRM contacts
    Instruction: List scenarios for duplicate detection
  3. Role: Sales rep
    Context: Key client not responding
    Instruction: Write a polite follow-up message
  4. Role: CRM QA tester
    Context: Validating sales pipeline
    Instruction: List deal progression test cases
    Constraint: Numbered list
  5. Role: Compensation administrator
    Context: Incentive structure update
    Instruction: Create payout validation cases
  6. Role: Sales enablement coach
    Context: Major feature launch
    Instruction: Make client-facing feature cheat sheet
  7. Role: Account executive
    Context: Meeting prospect for first time
    Instruction: List five open-ended discovery questions
  8. Role: Sales analyst
    Context: Outreach channels (email, WhatsApp)
    Instruction: Describe scenarios for tracking communications
  9. Role: Renewal specialist
    Context: Contract renewals next month
    Instruction: Draft friendly renewal reminder message
  10. Role: Sales strategist
    Context: Reviewing win/loss reasons data
    Instruction: Suggest two actions using insights to improve sales cycle

These prompts are designed using all the essential components to generate concise, effective, accurate and creative content.  

Mix and match these templates for any business area to get precise, useful responses from AI. 

If you’d like even more personalized advice or examples for another industry, feel free to contact us.

Leave a Reply