| PST 1.1 | Fd1 | A.1.1 | Welcome Circle Activity | Activity Instructions: Circle Welcome Activity Setup: Arrange chairs in circle format. Explain 30-second sharing rule clearly. Go clockwise with each person sharing one current work challenge. | Diagram showing circle seating arrangement layout | Hidden | 8 min | Q&A | How can we create a supportive learning environment from the start? |
| PST 1.1 | Fd1 | A.1.2 | Welcome Circle Activity | Welcome to PST 1.1: AI as Your Work Assistant 2.5 hours focused on platform navigation and setup. Hands-on, practical approach to AI adoption. Building confidence for immediate workplace application. | Photo showing diverse professionals in learning environment | Hidden | 8 min | Explainer | What would successful AI integration look like in your daily work? |
| PST 1.1 | Fd1 | A.2.1 | Think-Pair-Share AI Potential | Individual Reflection Phase (2 minutes): Think about your most time-consuming daily tasks: Which tasks feel repetitive? Where do you spend the most time? What would you delegate if you could? | Diagram showing Think-Pair-Share process flow | Hidden | 12 min | Q&A | What tasks currently drain your energy that could be transformed by AI assistance? |
| PST 1.1 | Fd1 | A.2.2 | Think-Pair-Share AI Potential | Pair Discussion Phase (4 minutes): Share your time-consuming tasks with your partner. Discuss: "How might AI help with these challenges?" Whole Group Sharing (6 minutes): Facilitator captures key themes on whiteboard. | Photo showing pairs in discussion | Hidden | 12 min | Q&A | How could AI assistance free you to focus on what you do best professionally? |
| PST 1.1 | Fd1 | A.3.1 | Success Story Voting | Choose Your Inspiration: Vote for the success story most relevant to your work context. | Photo showing diverse professional environments | Visible | 3 min | Case Study | Which professional context resonates most with your current workplace situation? |
| PST 1.1 | Fd1 | A.3.2 | Success Story Voting | Option 1: Healthcare Professional Dr. Sarah Chen, General Practitioner. Reduced administrative time by 40% in 3 months. Improved patient communication quality. | Photo of healthcare professional at work | Visible | 3 min | Case Study | How might reducing administrative burden improve your professional satisfaction? |
| PST 1.1 | Fd1 | A.3.3 | Success Story Voting | Option 2: Legal Practice Thompson & Associates Law Firm. Streamlined research and document preparation. Enhanced client service delivery. | Photo of legal office environment | Visible | 3 min | Case Study | What would enhanced service delivery mean for your professional relationships? |
| PST 1.1 | Fd1 | A.3.4 | Success Story Voting | Option 3: Education Sector Mark Williams, Secondary School Teacher. Transformed lesson planning efficiency. Renewed passion for teaching. | Photo of teacher in classroom setting | Visible | 3 min | Case Study | When did you last feel truly passionate about your professional work? |
| PST 1.1 | Fd1 | A.4.1 | Healthcare Case Study - Background | Dr. Alex Thompson's Story (Fictional composite based on real healthcare professional experiences) Meet Dr. Alex Thompson, a dedicated GP who had been serving his community for eight years. | Photo of busy medical practice environment | Visible | 4 min | Case Study | How does Dr. Thompson's dedication to patient care mirror your own professional values? |
| PST 1.1 | Fd1 | A.4.2 | Healthcare Case Study - Background | The Challenge Alex Faced: By early 2023, Alex was working 15-hour days, spending more time on paperwork than with patients. "I became a doctor to help people," he often thought, "not to fill out forms." He was approaching burnout. | Chart showing weekly time allocation before AI implementation | Visible | 4 min | Case Study | Have you experienced the frustration of administrative tasks overwhelming your core professional purpose? |
| PST 1.1 | Fd1 | A.4.3 | Healthcare Case Study - Background | Month 1: Alex's First Steps In March 2023, Alex started small with AI assistance for appointment confirmations and patient communication. "I was sceptical at first," Alex recalls, "but even these simple tasks saved me an hour each day." | Screenshot showing appointment scheduling interface | Visible | 4 min | Case Study | What small, routine tasks in your work might be good candidates for initial AI experimentation? |
| PST 1.1 | Fd1 | A.4.4 | Healthcare Case Study - Background | Month 2: Building Confidence By April, Alex was using AI to help draft treatment plans and create patient education materials. "The AI suggestions gave me starting points," he explains, "but I always reviewed and personalised everything." | Diagram showing clinical workflow with AI integration points | Visible | 4 min | Case Study | How important is maintaining your professional judgement when using AI assistance? |
| PST 1.1 | Fd1 | A.4.5 | Healthcare Case Study - Background | Month 3: Transformation Complete By May, Alex had reclaimed 6 hours per week using AI for practice analysis and reporting. "I'm excited about medicine again," Alex says. "I have time to really listen to my patients." | Chart showing weekly time allocation after AI implementation | Visible | 4 min | Case Study | What would you do with reclaimed time if routine tasks became more efficient? |
| PST 1.1 | Fd1 | A.5.1 | Healthcare Case Study - Reflection | Impact on Professional Life: How might reducing administrative time by 40% change your approach to work? What would you do with an extra 6 hours per week? | Photo showing healthcare professional engaged with patient | Visible | 3 min | Q&A | If you reclaimed significant time from administrative tasks, how would you reinvest it professionally? |
| PST 1.1 | Fd1 | A.5.2 | Healthcare Case Study - Reflection | Implementation Approach: What lessons can you learn from Dr. Thompson's gradual 3-month approach? Which aspects of his implementation strategy could apply to your profession? | Diagram showing gradual implementation timeline | Visible | 3 min | Q&A | Why might a gradual approach to AI adoption be more successful than attempting wholesale change? |
| PST 1.1 | Fd1 | A.5.3 | Healthcare Case Study - Reflection | Personal Application: If you could automate one aspect of your daily work, what would it be? What concerns or questions does this case study raise for you? | Photo showing professional contemplating change | Visible | 3 min | Q&A | What hesitations or concerns do you have about integrating AI into your professional practice? |
| PST 1.1 | Fd1 | A.6.1 | Healthcare Case Study - Tools & Lessons | Primary Platforms Alex Used: ChatGPT for patient communication and education materials. Claude for complex clinical documentation. Copilot for integration with practice management systems. | Screenshot showing multiple AI platforms | Visible | 4 min | Explainer | Which types of AI platforms might align best with your existing professional tools? |
| PST 1.1 | Fd1 | A.6.2 | Healthcare Case Study - Tools & Lessons | Example Prompts: "Create a follow-up email for a patient recovering from minor surgery, including care instructions and when to contact the practice." "Help me document this consultation while maintaining medical accuracy." | Screenshot showing example AI-generated patient communication | Visible | 4 min | Explainer | How might specific, detailed prompts improve the quality of AI assistance in your field? |
| PST 1.1 | Fd1 | A.6.3 | Healthcare Case Study - Tools & Lessons | Key Challenges: Maintaining patient confidentiality. Ensuring medical accuracy. Integration with existing systems. Lessons Learned: Start small with low-risk tasks. Always verify AI-generated content. Focus on time-saving, not judgement replacement. | Diagram of healthcare AI integration workflow | Visible | 4 min | Explainer | What professional standards must remain non-negotiable when using AI assistance? |
| PST 1.1 | Fd1 | A.7.1 | Legal Case Study - Background | The Partnership's Story (Fictional composite based on real legal practice experiences) Thompson & Associates is a mid-sized law firm where partners noticed junior associates spending 60% of their time on research. | Photo of legal library or modern law office | Visible | 4 min | Case Study | How might inefficient research processes be affecting productivity in your professional environment? |
| PST 1.1 | Fd1 | A.7.2 | Legal Case Study - Background | The Challenge They Faced: Inconsistent document quality across the team and clients demanding faster turnaround times were creating pressure. Senior partner Maria Thompson knew something had to change to maintain service excellence. | Graph showing research time allocation across team | Visible | 4 min | Case Study | How do quality consistency issues impact your professional reputation and client relationships? |
| PST 1.1 | Fd1 | A.7.3 | Legal Case Study - Background | Months 1-2: Research Acceleration The firm began using AI for legal precedent research and regulatory monitoring. "We could cover twice the ground in half the time," noted associate James Liu. | Screenshot showing legal research interface | Visible | 4 min | Case Study | What research-intensive tasks in your work could benefit from AI acceleration? |
| PST 1.1 | Fd1 | A.7.4 | Legal Case Study - Background | Months 3-4: Document Standardisation AI helped create contract templates and communication protocols. "Our documents became more consistent whilst saving hours of work," Maria explained. | Diagram showing document workflow improvement | Visible | 4 min | Case Study | How important is consistency in professional communications within your field? |
| PST 1.1 | Fd1 | A.7.5 | Legal Case Study - Background | Months 5-6: Full Integration The firm achieved team collaboration improvements and enhanced client service. "We're delivering higher quality work faster than ever," Maria concluded after six months. | Chart showing client satisfaction improvement over time | Visible | 4 min | Case Study | What would "higher quality work delivered faster" mean for your professional practice? |
| PST 1.1 | Fd1 | A.8.1 | Legal Case Study - Reflection | Efficiency Gains: How would reducing research time by 50% impact your ability to serve clients? What opportunities would faster document preparation create? | Photo showing legal professionals collaborating efficiently | Visible | 3 min | Q&A | If routine research became twice as efficient, how would you use the additional capacity professionally? |
| PST 1.1 | Fd1 | A.8.2 | Legal Case Study - Reflection | Quality Considerations: How important is consistency in professional communication in your field? What role does accuracy play in your daily work? | Photo showing professional documents being reviewed | Visible | 3 min | Q&A | What quality standards in your work are absolutely non-negotiable, regardless of efficiency gains? |
| PST 1.1 | Fd1 | A.8.3 | Legal Case Study - Reflection | Team Dynamics: How might AI adoption affect collaboration in your workplace? What training or support would your colleagues need? | Photo showing team training session | Visible | 3 min | Q&A | How would you approach introducing AI tools to colleagues who might be resistant to change? |
| PST 1.1 | Fd1 | A.9.1 | Legal Case Study - Tools & Lessons | Platforms Used: Claude for complex legal analysis and reasoning. ChatGPT for client communication drafting. Gemini for research and information synthesis. | Screenshot showing legal research workflow | Visible | 4 min | Explainer | Which AI capabilities would be most valuable for the analytical work you do? |
| PST 1.1 | Fd1 | A.9.2 | Legal Case Study - Tools & Lessons | Example Prompts: "Analyse recent employment discrimination case law focusing on remote work policies since 2020." "Create a client update on data protection regulation changes." | Diagram showing legal research process flow | Visible | 4 min | Explainer | How might domain-specific prompts improve AI assistance quality in your professional area? |
| PST 1.1 | Fd1 | A.9.3 | Legal Case Study - Tools & Lessons | Critical Lessons: Never rely solely on AI for professional advice. Always verify citations. Develop clear confidentiality protocols. Maintain detailed records of AI assistance. | Diagram of legal AI usage protocols checklist | Visible | 4 min | Explainer | What documentation and verification processes would be essential for AI use in your profession? |
| PST 1.1 | Fd1 | A.10.1 | Education Case Study - Background | Sarah Mitchell's Journey (Fictional composite based on real educator experiences) Sarah, a Year 6 primary teacher with 12 years' experience, was working 60+ hours weekly and struggling with lesson differentiation. | Photo of primary school classroom environment | Visible | 4 min | Case Study | How do excessive working hours affect your ability to provide quality professional service? |
| PST 1.1 | Fd1 | A.10.2 | Education Case Study - Background | The Challenge Sarah Faced: Administrative burden was affecting teaching quality. "I wanted to inspire young minds," Sarah reflected, "but I was drowning in paperwork and losing my passion for education." | Timeline showing teacher's weekly schedule before AI | Visible | 4 min | Case Study | When have you felt that administrative demands were compromising your core professional effectiveness? |
| PST 1.1 | Fd1 | A.10.3 | Education Case Study - Background | Month 1: Planning Efficiency Sarah began using AI for lesson structure development and resource creation. "Suddenly, I had frameworks to build upon rather than starting from scratch every time," she explained. | Screenshot showing lesson planning interface | Visible | 4 min | Case Study | What repetitive planning or preparation tasks consume significant time in your professional routine? |
| PST 1.1 | Fd1 | A.10.4 | Education Case Study - Background | Month 2: Student Engagement AI helped Sarah create differentiated materials and interactive activities. "I could finally provide what each student needed without working until midnight," she said. | Photo showing differentiated learning materials | Visible | 4 min | Case Study | How might AI assistance help you better serve diverse needs within your professional responsibilities? |
| PST 1.1 | Fd1 | A.10.5 | Education Case Study - Background | Month 3: Professional Renewal Sarah achieved work-life balance restoration whilst improving teaching quality. "I remember why I became a teacher," she concluded. "AI gave me back my passion." | Timeline showing teacher's schedule after AI integration | Visible | 4 min | Case Study | What would restored passion and enthusiasm look like in your professional life? |
| PST 1.1 | Fd1 | A.11.1 | Education Case Study - Reflection | Time Management: How would reclaiming 15 hours per week change your approach to professional development? What impact might better work-life balance have on effectiveness? | Photo showing teacher with improved work-life balance | Visible | 3 min | Q&A | If you could reclaim significant personal time, how would it improve your professional performance? |
| PST 1.1 | Fd1 | A.11.2 | Education Case Study - Reflection | Quality Outcomes: How could more efficient planning improve your work output quality? What opportunities would arise from having more time for personalisation? | Photo showing personalised student interaction | Visible | 3 min | Q&A | How might efficiency gains allow you to deliver more personalised, higher-quality professional service? |
| PST 1.1 | Fd1 | A.11.3 | Education Case Study - Reflection | Professional Satisfaction: What aspects of your role do you most want to focus on? How might AI assistance help you return to what you love about your profession? | Photo showing engaged professional at work | Visible | 3 min | Q&A | What core aspects of your profession bring you the greatest satisfaction and sense of purpose? |
| PST 1.1 | Fd1 | A.12.1 | Education Case Study - Tools & Lessons | Platforms Sarah Used: ChatGPT for lesson planning and resource creation. Claude for curriculum alignment and assessment design. Copilot for administrative task automation. | Screenshot showing AI-generated lesson plan | Visible | 4 min | Explainer | Which AI capabilities would most benefit the creative and planning aspects of your professional work? |
| PST 1.1 | Fd1 | A.12.2 | Education Case Study - Tools & Lessons | Example Prompts: "Create a differentiated science lesson on plant growth for Year 6, including activities for advanced learners and those needing support." | Diagram of education AI workflow integration | Visible | 4 min | Explainer | How might detailed, context-specific prompts improve AI assistance for your professional requirements? |
| PST 1.1 | Fd1 | A.12.3 | Education Case Study - Tools & Lessons | Key Insights: AI enhances creativity rather than replacing it. Always review for appropriateness. Use AI for structure, add personal expertise. Focus on outcomes, not just efficiency. | Photo showing teacher reviewing AI-generated content | Visible | 4 min | Explainer | How would you maintain your professional expertise and judgement whilst leveraging AI assistance? |
| PST 1.1 | Fd1 | B.1.1 | Platform Demonstration Setup | Demonstration Approach: Use same standardised task across all 4 platforms. Screen sharing with participants observing. 6 minutes per platform demonstration. Encourage note-taking on platform differences. | Diagram showing demo preparation requirements checklist | Hidden | 2 min | Demo | What should participants focus on when observing platform differences? |
| PST 1.1 | Fd1 | B.2.1 | Demo Task Introduction | Standardised Task for All Platforms: "Create a professional email to your team announcing the implementation of a new flexible working policy. Include policy explanation, address concerns, provide next steps, maintain positive tone, approximately 200 words." | Diagram showing email template structure | Visible | 3 min | Demo | Why is using the same task across platforms important for fair comparison? |
| PST 1.1 | Fd1 | B.2.2 | Demo Task Introduction | What to Observe: Response characteristics including writing style, structure, speed, and quality. Note-Taking Framework: Platform name, first impression, strengths, improvement areas, professional applicability. | Photo showing note-taking template | Visible | 3 min | Demo | What criteria will help you evaluate which platform suits your professional needs best? |
| PST 1.1 | Fd1 | B.3.1 | ChatGPT Live Demo | ChatGPT Platform Overview: Conversational interface, web-based platform, free and paid tiers available, extensive training on diverse content. | Screenshot showing ChatGPT interface workspace | Visible | 6 min | Demo | What aspects of ChatGPT's conversational approach appeal to you for professional use? |
| PST 1.1 | Fd1 | B.3.2 | ChatGPT Live Demo | Unique Features: Custom GPTs for specific use cases, plugin ecosystem (paid version), code interpretation capabilities, image generation (DALL-E integration). | Screenshot showing ChatGPT advanced features | Visible | 6 min | Demo | Which ChatGPT features would be most valuable for your specific professional requirements? |
| PST 1.1 | Fd1 | B.4.1 | Claude Live Demo | Claude Platform Overview: Anthropic's AI assistant with focus on helpful, harmless, honest responses. Strong reasoning capabilities, excellent for complex analysis. | Screenshot showing Claude interface | Visible | 6 min | Demo | How might Claude's analytical strengths benefit complex thinking tasks in your profession? |
| PST 1.1 | Fd1 | B.4.2 | Claude Live Demo | Unique Features: Constitutional AI training, strong document analysis, excellent summarisation, ethical reasoning capabilities. Compare with ChatGPT: What differences do you notice? | Diagram comparing Claude vs ChatGPT response styles | Visible | 6 min | Demo | What differences between Claude and ChatGPT are most relevant to your professional work style? |
| PST 1.1 | Fd1 | B.5.1 | Gemini Live Demo | Gemini Platform Overview: Google's AI platform with integration to Google Workspace, multimodal capabilities, real-time information access. | Screenshot showing Gemini with Google Workspace | Visible | 6 min | Demo | How could Google Workspace integration streamline your existing professional workflows? |
| PST 1.1 | Fd1 | B.5.2 | Gemini Live Demo | Unique Features: Google Search integration, Gmail and Docs integration, image and document processing, real-time web information. Integration advantage: How might this connect to your existing tools? | Diagram of Google ecosystem integration | Visible | 6 min | Demo | Which Google integration features would provide immediate value in your daily professional tasks? |
| PST 1.1 | Fd1 | B.6.1 | Copilot Live Demo | Microsoft Copilot Overview: Microsoft's AI assistant with deep Office 365 integration, enterprise-focused features, security and compliance built-in. | Screenshot showing Copilot in Microsoft 365 | Visible | 6 min | Demo | How important are enterprise security features for AI tools in your professional context? |
| PST 1.1 | Fd1 | B.6.2 | Copilot Live Demo | Unique Features: Office 365 deep integration, Microsoft Teams connectivity, enterprise security standards, workflow automation capabilities. Enterprise focus: How does this align with your workplace needs? | Diagram of Copilot enterprise dashboard | Visible | 6 min | Demo | Which Microsoft 365 integrations would provide the greatest productivity benefit for your work? |
| PST 1.1 | Fd1 | B.7.1 | Comparison Chart Activity | Team Activity Instructions: Organise into teams of 3-4 people. Create comparison table with columns: Platform Name, Key Strengths, Best Use Cases, Limitations, Professional Suitability Score (1-10). | Template showing platform comparison chart format | Hidden | 18 min | Q&A | What criteria are most important for evaluating AI platform suitability in your profession? |
| PST 1.1 | Fd1 | B.8.1 | Use Case Matching - Scenario 1 | Data Analysis & Executive Presentation Challenge: Your organisation has 6 months of customer feedback data. Need to analyse trends, create executive summary, develop recommendations, present to senior leadership. | Diagram showing data analysis workflow | Visible | 4 min | Case Study | Which platform capabilities are most critical for executive-level data presentation? |
| PST 1.1 | Fd1 | B.8.2 | Use Case Matching - Scenario 1 | Platform Considerations: Complex data processing requirements, professional presentation needs, executive-level communication, integration with existing systems. Vote: Which platform is best suited for this scenario? | Chart for displaying platform voting results | Visible | 4 min | Case Study | What factors would influence your platform choice for high-stakes executive communication? |
| PST 1.1 | Fd1 | B.9.1 | Use Case Matching - Scenario 2 | Legal Precision & Client Proposals Challenge: Law firm needs to research complex regulatory requirements, draft client proposal with legal accuracy, ensure compliance, maintain confidentiality protocols. | Photo showing legal documents and compliance checklist | Visible | 4 min | Case Study | How do accuracy and confidentiality requirements affect AI platform selection? |
| PST 1.1 | Fd1 | B.9.2 | Use Case Matching - Scenario 2 | Platform Considerations: Accuracy and fact-checking capabilities, professional writing quality, confidentiality and security features, citation and source verification. Vote: Which platform suits this legal scenario? | Chart comparing security features across platforms | Visible | 4 min | Case Study | Which security and accuracy features are non-negotiable for your professional requirements? |
| PST 1.1 | Fd1 | B.10.1 | Use Case Matching - Scenario 3 | Research & Information Synthesis Challenge: Education professional needs to research pedagogical approaches, synthesise multiple sources, create literature review, ensure academic accuracy and citations. | Photo showing academic research environment | Visible | 4 min | Case Study | What research capabilities are essential for comprehensive professional information synthesis? |
| PST 1.1 | Fd1 | B.10.2 | Use Case Matching - Scenario 3 | Platform Considerations: Research depth and breadth, information synthesis capabilities, source verification and citation, academic writing support. Vote: Which platform suits this research scenario? | Diagram of research synthesis process flowchart | Visible | 4 min | Case Study | How important is citation accuracy and source verification for professional credibility in your field? |
| PST 1.1 | Fd1 | B.11.1 | Use Case Matching - Scenario 4 | Team Communication & Collaboration Challenge: Project manager needs to coordinate multiple team communications, create consistent messaging across departments, integrate with collaboration tools, maintain team engagement. | Diagram showing team collaboration workflow | Visible | 4 min | Case Study | What collaboration features would most benefit team coordination in your professional environment? |
| PST 1.1 | Fd1 | B.11.2 | Use Case Matching - Scenario 4 | Platform Considerations: Integration with collaboration tools, consistency in communication style, team accessibility and ease of use, multi-user functionality. Vote: Which platform best supports team collaboration? | Screenshot showing platform integration examples | Visible | 4 min | Case Study | How critical is seamless tool integration for effective team collaboration in your workplace? |
| PST 1.1 | Fd1 | B.12.1 | Platform Selection Principles | Task Complexity Framework: Simple tasks: Any platform suitable. Complex analysis: Claude or Gemini. Creative work: ChatGPT or Claude. Data processing: Copilot or Gemini. | Decision tree showing platform selection guide | Visible | 5 min | Explainer | How does task complexity influence your approach to selecting professional tools? |
| PST 1.1 | Fd1 | B.12.2 | Platform Selection Principles | Integration and Output Requirements: Google Workspace: Gemini advantage. Microsoft 365: Copilot natural choice. Professional documents: Copilot or Claude. Real-time information: Gemini advantage. | Summary chart comparing platform strengths | Visible | 5 min | Explainer | What integration requirements are most important for seamless workflow in your professional context? |
| PST 1.1 | Fd1 | C.1.1 | Account Creation Overview | Session Structure: ChatGPT setup (8 minutes), Claude setup (8 minutes), third platform choice (10 minutes), privacy configuration (9 minutes). Success Criteria: 2+ platform accounts, privacy configured, credentials secure, navigation comfort. | Diagram showing setup session preparation checklist | Hidden | 2 min | Explainer | What potential obstacles might participants encounter during account setup? |
| PST 1.1 | Fd1 | C.2.1 | ChatGPT Account Setup | Step-by-Step Registration: Navigate to chat.openai.com, click "Sign up", enter professional email, create secure password, verify email, complete profile configuration. | Screenshot showing ChatGPT registration flow | Visible | 8 min | Explainer | Why is using a professional email address important for workplace AI account setup? |
| PST 1.1 | Fd1 | C.2.2 | ChatGPT Account Setup | Professional Setup Tips: Use work email if organisation allows, choose professional display name, avoid personal information, review terms for workplace use. ✋ Raise your hand when successfully logged in | Diagram of account setup checklist | Visible | 8 min | Explainer | What professional boundaries should guide your AI platform account configuration? |
| PST 1.1 | Fd1 | C.3.1 | Claude Account Setup | Step-by-Step Registration: Go to claude.ai, click "Get Started", enter professional email, create strong password, complete verification, set up professional profile, configure preferences. | Screenshot showing Claude interface walkthrough | Visible | 8 min | Explainer | How do Claude's interface features support professional workflow requirements? |
| PST 1.1 | Fd1 | C.3.2 | Claude Account Setup | Claude-Specific Features: Longer conversation memory, strong document analysis, structured reasoning approach, professional tone consistency. ✋ Signal completion when successfully set up | Diagram of Claude navigation basics quick reference | Visible | 8 min | Explainer | Which Claude features align best with your professional communication style? |
| PST 1.1 | Fd1 | C.4.1 | Third Platform Choice | Option A: Google Gemini Best for Google Workspace users. Setup: Visit gemini.google.com, sign in with Google account, accept terms, configure workspace integration, test functionality. | Chart comparing Gemini vs Copilot features | Visible | 10 min | Explainer | How do your existing workplace tools influence your third platform choice? |
| PST 1.1 | Fd1 | C.4.2 | Third Platform Choice | Option B: Microsoft Copilot Best for Microsoft 365 users. Setup: Go to copilot.microsoft.com, sign in with Microsoft account, choose plan, configure Office integration, explore features. Take 10 minutes to set up your chosen platform | Diagram showing setup guidance flowchart | Visible | 10 min | Explainer | What factors make one platform more suitable than another for your professional needs? |
| PST 1.1 | Fd1 | C.5.1 | Privacy Settings Walkthrough | Data Usage Settings: Review conversation usage, opt out of training data where possible, understand retention policies, configure deletion preferences. | Screenshot showing privacy settings locations across platforms | Visible | 5 min | Explainer | Why are data usage preferences crucial for professional AI tool usage? |
| PST 1.1 | Fd1 | C.5.2 | Privacy Settings Walkthrough | Professional Boundaries: Separate personal and professional accounts, configure sharing restrictions, set workspace-appropriate settings, review third-party integrations. ✋ Confirm when privacy settings reviewed | Diagram of essential privacy configurations checklist | Visible | 5 min | Explainer | How do privacy settings protect both your professional reputation and client confidentiality? |
| PST 1.1 | Fd1 | C.6.1 | Professional Profile Setup | Profile Guidelines: ✅ Professional display name, work-appropriate email, professional timezone. ❌ Personal nicknames, casual language, overly detailed personal information. | Before/after examples showing profile setup | Visible | 6 min | Explainer | What professional image do you want your AI platform profiles to project? |
| PST 1.1 | Fd1 | C.6.2 | Professional Profile Setup | Platform Customisation: Configure appropriate conversation style, review sharing settings, link work-appropriate accounts only, ensure workplace policy compliance. | Diagram of professional configuration guidelines checklist | Visible | 6 min | Explainer | How do professional profile settings support your workplace credibility and compliance? |
| PST 1.1 | Fd1 | C.7.1 | Security Implementation Check | Partner Verification Process: Pair for mutual verification, systematic checklist review, address issues immediately. Security Checklist: Strong passwords, professional emails, privacy settings configured, professional boundaries established. | Diagram showing verification checklist template | Hidden | 4 min | Q&A | What security verification steps are most critical for professional AI tool usage? |
| PST 1.1 | Fd1 | D.1.1 | Scenario Testing Overview | Team Formation: Teams of 4, each receives 2 scenarios, rotate between platforms, 15 minutes total testing. Testing Process: Scenario assignment (2 min), platform testing (10 min), results compilation (3 min). | Diagram showing team assignment chart | Hidden | 2 min | Q&A | How can systematic testing help evaluate AI platform suitability for professional use? |
| PST 1.1 | Fd1 | D.2.1 | Testing Scenarios Set | Scenario 1: Email Communication - Client follow-up, team announcements, stakeholder invitations. Scenario 2: Document Analysis - Report summaries, action item extraction, theme identification. | Diagram showing scenario testing checklist | Visible | 3 min | Case Study | Which scenarios best represent the professional tasks you perform regularly? |
| PST 1.1 | Fd1 | D.2.2 | Testing Scenarios Set | Scenario 3: Creative Problem-Solving - Budget solutions, engagement strategies, workflow improvements. Scenario 4: Data Interpretation - Sales trends, satisfaction surveys, resource allocation. | Photo of results recording template | Visible | 3 min | Case Study | How do these scenarios help evaluate AI capabilities for your specific professional requirements? |
| PST 1.1 | Fd1 | D.2.3 | Testing Scenarios Set | Scenario 5: Training Material Creation - Onboarding checklists, presentation outlines, assessment frameworks. Scenario 6: Research and Synthesis - Best practices, competitor analysis, multi-source synthesis. | Diagram showing comprehensive testing framework | Visible | 3 min | Case Study | What success criteria matter most for evaluating AI assistance in your professional context? |
| PST 1.1 | Fd1 | D.3.1 | Team Results Sharing | Presentation Structure: Scenario overview (brief), platform performance (what worked/didn't), professional insights (applicability, reliability, recommendations). 2 minutes per team presentation. | Diagram showing results capture template | Hidden | 10 min | Q&A | What unexpected discoveries about AI capabilities emerged from your testing? |
| PST 1.1 | Fd1 | D.4.1 | Limitation Boundary Exercise | Flowchart Creation: Teams create decision trees answering "When to use AI vs human judgement". Requirements: workplace decision point, yes/no branches, clear recommendations, based on testing experience. | Diagram showing flowchart template examples | Hidden | 15 min | Q&A | What factors should determine when human judgement is essential over AI assistance? |
| PST 1.1 | Fd1 | D.4.2 | Limitation Boundary Exercise | Decision Factors: Accuracy requirements, creativity needs, stakeholder impact, time sensitivity, compliance issues, confidentiality concerns. Creation Process: Identify decision point (3 min), map decision path (8 min), review and refine (4 min). | Photo of decision factor reference guide | Hidden | 15 min | Q&A | How do professional standards influence the boundaries between AI assistance and human oversight? |
| PST 1.1 | Fd1 | D.5.1 | Gallery Walk Feedback | Feedback Categories: Yellow (questions/clarifications), Green (practical insights), Blue (real-world examples), Pink (challenges/concerns). Process: 2 min per flowchart, teams visit all others, return for review. | Photo showing sticky note colour coding guide | Hidden | 8 min | Q&A | What common themes emerge across different approaches to AI versus human decision-making? |
| PST 1.1 | Fd1 | D.6.1 | Professional Ethics Discussion | Ethical Scenarios: Confidentiality (client proposal template sharing), Accuracy (unusual financial data), Attribution (research report), Fairness (efficiency advantage). Groups of 3-4, 10 min discussion, 2-min reports. | Photo showing ethical scenario cards | Hidden | 10 min | Q&A | How do you balance AI efficiency benefits with professional ethical obligations? |
| PST 1.1 | Fd1 | D.6.2 | Professional Ethics Discussion | Discussion Prompts: What could go wrong? What safeguards are needed? How would you explain your decision to your supervisor? What professional standards apply? Key Principles: Professional responsibility, transparency, quality assurance, fair competition, stakeholder protection. | Diagram of discussion facilitation guide | Hidden | 10 min | Q&A | What ethical principles should guide professional AI usage in your field? |
| PST 1.1 | Fd1 | D.7.1 | Capability Assessment Summary | Platform Strengths: ChatGPT (creative content, conversational communication), Claude (complex analysis, structured problem-solving), Gemini (current information, Google integration), Copilot (Microsoft 365 integration, enterprise security). | Diagram showing AI suitability framework decision matrix | Visible | 5 min | Explainer | Which platform strengths align best with your most frequent professional tasks? |
| PST 1.1 | Fd1 | D.7.2 | Capability Assessment Summary | Universal Limitations: AI can generate incorrect information, requires human verification, should not handle sensitive information, needs appropriate attribution. Best Practice Framework: AI suitable for drafts and research assistance. Human oversight required for decisions and quality. Avoid AI for confidential or critical safety decisions. | Photo of professional guidelines checklist | Visible | 5 min | Explainer | How will you maintain professional standards whilst leveraging AI capabilities effectively? |
| PST 1.1 | Fd1 | E.1.1 | Individual Action Planning | Planning Template Sections: Current workflow assessment (time-consuming tasks, repetitive work, bottlenecks), AI integration opportunities (suitable tasks, platform selection, success definition), implementation steps (next week actions, obstacles, support needs). | Diagram showing planning template format guide | Hidden | 10 min | Q&A | What specific aspects of your current workflow are most suitable for AI integration? |
| PST 1.1 | Fd1 | E.1.2 | Individual Action Planning | Success Measurement: How will you know AI assistance is working? What metrics matter most (time saved, quality improved, stress reduced)? When will you review and adjust your approach? Common Implementation Areas: Email drafting, meeting preparation, document creation, research, administrative tasks. | Photo of individual consultation prompts | Hidden | 10 min | Q&A | How will you measure the success of AI integration in your professional practice? |
| PST 1.1 | Fd1 | E.2.1 | Colleague Communication Strategy | Role-Play Structure: Pairs, one plays interested colleague, other explains AI adoption, switch after 4 minutes. Communication Challenges: Job replacement fears, quality control concerns, complexity worries, security questions. | Photo showing role-play scenario cards | Hidden | 8 min | Q&A | What concerns might your colleagues have about AI adoption, and how would you address them? |
| PST 1.1 | Fd1 | E.2.2 | Colleague Communication Strategy | Key Messages: Benefits focus (higher-value work, improved quality), responsibility emphasis (verification, human judgement), support approach (shared learning, gradual exploration). Practice Scenarios: Enthusiastic colleague, sceptical manager, overwhelmed team member, security-conscious IT. | Diagram of key messages reference sheet | Hidden | 8 min | Q&A | How can you position AI adoption as enhancement rather than replacement of professional expertise? |
| PST 1.1 | Fd1 | E.3.1 | Professional Development Commitment | Commitment Framework: What (specific AI tool and task), When (timeline and frequency), How (implementation steps), Success Criteria (measurement approach). Examples: "Use ChatGPT to draft weekly team updates every Monday for 2 weeks." | Diagram showing commitment template | Hidden | 5 min | Q&A | What specific AI implementation will you commit to trying within the next two weeks? |
| PST 1.1 | Fd1 | E.3.2 | Professional Development Commitment | Accountability Partner System: Choose partners, exchange contact information, schedule check-ins, share commitment details. Responsibilities: Week 1 check-in, Week 2 review, ongoing support. Success Factors: Start small, choose low-risk applications, build confidence, document lessons. | Photo of accountability partner agreement form | Hidden | 5 min | Q&A | How will accountability partnerships support your successful AI integration? |
| PST 1.1 | Fd1 | E.4.1 | Implementation Roadmap Template | Phase 1: Foundation (Weeks 1-2) Platform setup with security settings, basic functionality testing, initial prompts for routine tasks. Quick Wins: Email drafting, meeting agendas, research queries, document formatting. | Diagram showing visual timeline | Visible | 4 min | Explainer | Why is a gradual, phased approach more effective than attempting comprehensive AI integration immediately? |
| PST 1.1 | Fd1 | E.4.2 | Implementation Roadmap Template | Phase 2: Expansion (Weeks 3-8) Regular workflow integration, sophisticated prompting, reusable templates, colleague sharing. Phase 3: Optimisation (Months 2-3) Customised workflows, team protocols, mentoring colleagues, continuous refinement. | Photo of checkpoint assessment templates | Visible | 4 min | Explainer | How do success metrics evolve as AI integration becomes more sophisticated and comprehensive? |
| PST 1.1 | Fd1 | E.5.1 | Workplace Integration Checklist | Technical Setup: Platform accounts created, privacy configured, professional profiles set. Workflow Integration: Process analysis, implementation planning, quality assurance protocols. | Photo showing interactive checklist format | Visible | 8 min | Explainer | What technical and workflow considerations are essential for successful workplace AI integration? |
| PST 1.1 | Fd1 | E.5.2 | Workplace Integration Checklist | Team Communication: Colleague engagement, management communication, stakeholder transparency. Success Measurement: Productivity metrics, professional development, continuous improvement. Emergency Protocols: Backup plans, manual processes, data recovery, support resources. | Diagram of progress tracking template | Visible | 8 min | Explainer | How do comprehensive checklists support sustainable and professional AI adoption? |
| PST 1.1 | Fd1 | F.1.1 | Skills Consolidation Check | Platform Navigation Competency: "Raise your hand if you feel confident navigating at least 2 AI platforms" "Show thumbs up if you've configured privacy settings" Capability Understanding: "What does AI do exceptionally well?" "Name limitations requiring human oversight" | Diagram showing visual learning summary aids | Hidden | 5 min | Quiz | How confident do you feel about explaining AI capabilities and limitations to colleagues? |
| PST 1.1 | Fd1 | F.1.2 | Skills Consolidation Check | Professional Integration Readiness: "Who has identified workplace AI applications?" "What security considerations will you remember?" Confidence Building: Acknowledge 2.5-hour progress, reinforce practical skills, highlight workplace readiness, build continued learning excitement. | Photo of quick reference guides for takeaway | Hidden | 5 min | Quiz | What aspects of AI platform navigation do you feel most confident about applying professionally? |
| PST 1.1 | Fd1 | F.2.1 | Learning Celebration | Individual Sharing: "Complete this sentence: 'As a result of today's session, I can now...'" Expected Responses: Platform navigation confidence, platform-task matching, capability explanation, professional content creation, AI vs human judgement decisions. | Photo showing achievement recognition framework | Hidden | 5 min | Q&A | What is the most significant new capability you've gained from today's learning experience? |
| PST 1.1 | Fd1 | F.2.2 | Learning Celebration | Progress Elements: Technical achievements (setup, security, navigation), professional development (capability assessment, ethical awareness, workplace readiness), personal growth (confidence building, problem-solving, communication skills, learning motivation). Momentum Building: Recognise achievement, build workplace confidence, create development enthusiasm. | Diagram of individual progress acknowledgment guide | Hidden | 5 min | Q&A | How will you maintain the momentum and enthusiasm for AI learning beyond this session? |
| PST 1.1 | Fd1 | F.3.1 | Future Learning Pathways | Next-Level Skills: Advanced prompting techniques (multi-step instructions, role-playing, complex reasoning), specialised applications (industry-specific tools, document analysis, creative problem-solving), integration expertise (cross-platform workflows, team collaboration, organisational strategy). | Diagram showing learning pathway flowchart | Visible | 3 min | Explainer | Which advanced AI skills are most appealing for your continued professional development? |
| PST 1.1 | Fd1 | F.3.2 | Future Learning Pathways | Continuous Learning Mindset: AI technology evolves rapidly - stay curious. Regular practice builds expertise. Community learning accelerates development. Professional application drives innovation. Building Expertise: Start with daily practice, expand to complex uses, share knowledge, contribute to professional standards. | Photo of professional development timeline | Visible | 3 min | Explainer | How will you maintain currency with evolving AI capabilities while building practical expertise? |
| PST 1.1 | Fd1 | F.4.1 | Course Completion Recognition | Technical Competency Achieved: Platform navigation excellence, capability assessment understanding, professional integration readiness. Professional Skills Developed: Strategic thinking, communication excellence, implementation expertise. | Photo showing achievement certificate template | Visible | 2 min | Explainer | What evidence demonstrates your readiness to confidently use AI platforms in professional contexts? |
| PST 1.1 | Fd1 | F.4.2 | Course Completion Recognition | Readiness Status: ✅ Ready for daily workplace AI application ✅ Prepared to guide colleagues ✅ Foundation for advanced development. Next Steps Commitment: This week (implement chosen application), this month (expand usage), next 3 months (develop expertise and guide colleagues). | Diagram of professional competency recognition badge | Visible | 2 min | Explainer | How will you leverage your new AI platform competency to enhance your professional effectiveness and leadership? |