Workshop/Resources/Prompt Library
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Prompt Library

Copy-ready prompts for opportunity mapping, employer branding, gamified onboarding, HR micro-apps, voiceover, avatar video, and AI media.

Prompt Library — AI-Powered Digital HRM Future Lab

Updated from pre-workshop findings: Students are familiar with AI assistants, but they want practical, ethical, HR-specific prompts. This library now includes more examples for the cohort's focus areas: practical HR application, responsible AI, recruitment, employer branding, engagement, performance, vibe coding, gamification, IoT, and AI media.

Use only fictional or synthetic data. Do not paste real CVs, names, student IDs, employee records, salary data, medical information, grievance records, or disciplinary records.

Prompting pattern for HRM students

Use this structure:

Role: Act as [HR role].
Context: We are working with a fictional Sri Lankan [sector] organization.
Task: Create [output].
Constraints: Use synthetic data only. Avoid bias. Keep human review points.
Format: Return as [table / checklist / memo / campaign / script].
Review: Add risks, safeguards, and what HR must verify.

Session 1 — AI opportunity map

Act as an HR digital transformation advisor.

Create an AI opportunity map for a Sri Lankan [sector] organization with [number] employees across [locations].

Map AI opportunities across recruitment, onboarding, learning and development, employee engagement, performance support, and HR operations.

For each opportunity include: HR pain point, AI use case, benefit, risk, and human oversight needed.

Session 1 — Broaden beyond recruitment

Act as a Digital HRM lecturer in Sri Lanka.

Students already understand AI in recruitment, but they need to see wider HRM use cases. Create 12 practical generative AI use cases across onboarding, learning and development, employee engagement, HR operations, performance support, and people analytics.

For each use case, state:
- HRM purpose
- Example AI output
- Why it helps
- What a human HR professional must review
- One ethical or privacy risk

Session 1 — AI output critique

Review the following AI-generated HR idea. Identify problems related to accuracy, bias, privacy, employee dignity, practicality, and human oversight. Then rewrite it as a safer HR recommendation.

[Paste AI output]

Session 1 — Human-in-the-loop decision wall

Create a classroom activity called "AI drafts, humans decide" for HRM students.

Give 15 HR tasks and classify each as:
1. Safe to use AI for drafting
2. AI may assist, but human approval is required
3. Do not delegate to AI

Include Sri Lankan examples from recruitment, onboarding, training, performance, employee relations, and HR communication. Explain each classification in one sentence.

Session 1 — Recruitment bias mini-case

Create a mini recruitment bias case for Sri Lankan HRM students.

Scenario:
A fictional bank uses AI to rank management trainee applicants. The tool gives lower scores to candidates from non-English-medium backgrounds and some provinces.

Provide:
- What might be causing the issue
- Why this is a fairness risk
- What data HR should inspect
- What human review should happen
- How to redesign the process with structured criteria

Session 2 — Employer branding campaign

Act as an employer branding specialist.

Create a 7-day LinkedIn and Instagram recruitment campaign for a fictional Sri Lankan [sector] company hiring [role] from universities in Colombo, Kandy, Jaffna, Galle, and Kurunegala.

The campaign should be inclusive, realistic, and appealing to final-year students. Include three post ideas, captions, hashtags, and visual concepts.

Session 2 — Employer branding audit

Review this employer branding social media post for a Sri Lankan company.

Check it for credibility, inclusiveness, exaggeration, unrealistic promises, tone, accessibility, and alignment with HR values.

Then rewrite it as a stronger LinkedIn post and a shorter Instagram caption.

Post to review: [paste post]

Session 2 — Gamified onboarding

Design a gamified 7-day onboarding journey for [employee group] in Sri Lanka.

Include missions, points, badges, peer collaboration, manager check-ins, learning activities, what should not be gamified, and risks of over-competition.

Session 2 — Responsible gamification redesign

Review this gamified HR idea:
[paste idea]

Evaluate it for:
- Motivation quality
- Fairness
- Stress or shame risk
- Accessibility
- Manager support
- Employee dignity

Then redesign it to be more responsible.

Session 2 — IoT ethics tribunal

Create an IoT ethics tribunal case for HRM students in Sri Lanka.

Scenario: a logistics company wants to use smart ID cards and wearable safety bands to improve emergency response and attendance clarity. Employees worry the data will be used for constant productivity monitoring.

Give students three options: allow, modify, reject. For each option, provide arguments, data risks, safeguards, and questions HR must answer.

Session 2 — Workplace sensor policy boundary

Act as an HR policy advisor.

Draft a simple workplace sensor policy boundary for a fictional Sri Lankan company.

Include:
- Purpose of data collection
- Data that may be collected
- Data that must not be collected
- Who can access data
- Retention period
- Employee notice and consent
- Complaint or correction mechanism
- Prohibited uses
- Human review requirement

Session 3 — HR micro-app

Build a one-page HR website concept for a fictional Sri Lankan organization called [name].

The website should include [features]. Design it to be warm, professional, mobile-friendly, and low bandwidth.

Important: use fictional content only, do not collect sensitive data, and do not create login, payroll, or disciplinary features.

Session 3 — Canvas-first vibe coding

Before writing code, help my team complete an HR micro-app planning canvas.

Context: [fictional Sri Lankan organization]
HR problem: [problem]
Target user: [student / applicant / new employee / HR officer / manager]

Ask me 8 clarifying questions first. Then propose a safe prototype scope with:
- 3 core features
- Data needed
- Data that must not be collected
- Human support point
- Privacy risk
- What should be excluded from the prototype

Session 3 — Career center prototype

Create a single-page website for a fictional Sri Lankan university career center.

Purpose: help final-year HRM students practice for interviews.

Include:
- Welcome section
- Interview preparation steps
- Three practice categories: HR intern, management trainee, customer service associate
- Copy-ready AI prompts for practice
- Tips for responsible AI use
- Human career advisor reminder

Do not include real booking forms or collect personal data.

Session 3 — Security teardown

Review this HR app idea for privacy and security risk. Identify what data it collects, what data it should not collect, access-control needs, human review points, and what must be checked before production use.

[Paste app idea]

Session 3 — HR chatbot boundaries

Act as an HR service design specialist.

Design boundaries for an onboarding chatbot for a fictional Sri Lankan organization.

The chatbot may answer:
- First-week schedule
- Training links
- Basic policy summaries
- HR contact information

The chatbot must not:
- Give legal advice
- Decide leave, salary, discipline, or complaints
- Collect sensitive personal data
- Replace human HR support

Create:
- 10 allowed questions
- 10 questions to escalate to HR
- 5 refusal messages
- 5 transparency statements

Session 4 — Canva AI campaign

Create a professional, modern social media carousel for a Sri Lankan university career center.

Topic: AI Skills Every Future HR Professional Should Learn.

Audience: Bachelor’s HRM students in Sri Lanka.

Style: clean, youthful, professional, inclusive, suitable for LinkedIn and Instagram.

Include five slides: hook, why AI matters in HR, three practical AI skills, three responsible AI rules, and call to action.

Session 4 — Voiceover

Write a 30-second voiceover script for a university HRM workshop in Sri Lanka.

Tone: encouraging, clear, professional, energetic.

Message: future HR professionals should learn how to use AI tools responsibly to improve recruitment, learning, employee experience, and communication.

Session 4 — Avatar video

Create a 45-second avatar video script for a fictional HR manager welcoming new management trainees to [organization].

The script should welcome students warmly, explain that AI will support their learning journey, emphasize fairness and inclusion, avoid exaggerated promises, and end with an invitation to begin the onboarding challenge.

Session 4 — Avatar video with disclosure

Write a 45-second AI avatar video script for a fictional HR manager welcoming new management trainees to a Sri Lankan company.

The script must:
- Sound warm and human
- Explain that AI will support learning and onboarding
- Make clear that humans remain available for support
- Avoid fake promises
- Include an AI-generated media disclosure line

Also provide 5 storyboard shots and on-screen text.

Session 4 — Image or video generation prompt

Create an image or short video generation prompt for an HRM workshop campaign.

Theme: Future-ready HR professionals using AI responsibly
Setting: Sri Lankan university workshop environment
Visual style: professional, modern, inclusive, realistic, high-quality educational campaign
Avoid: real logos, real student faces, stereotypes, exaggerated futuristic clichés, misleading claims

Return:
- Main prompt
- Negative prompt / avoid list
- Caption
- AI-generated media disclosure note

Cross-session — Responsible AI review

Act as a responsible AI reviewer for HRM.

Review this AI-enabled HR idea:
[paste idea]

Score it from 1 to 5 for:
- Privacy risk
- Bias/fairness risk
- Transparency risk
- Employee dignity risk
- Legal/governance risk
- Practical value

Then classify it as:
- Safe classroom prototype
- Needs restrictions
- Not appropriate for the workshop

Explain your reasoning and suggest a safer redesign.

Cross-session — Final pitch builder

Help my student team prepare a 60-second pitch for our AI-Digital HRM prototype.

Our fictional organization: [name]
HR problem: [problem]
Our solution: [solution]
Tools used or proposed: [tools]
Main benefit: [benefit]
Main risk: [risk]
Safeguard: [safeguard]

Create a concise pitch with:
- Opening hook
- Problem
- Solution
- HR value
- Responsible AI safeguard
- Closing line

Keep it clear and professional for a Sri Lankan university workshop.