📈 AI-Powered Gap Analysis

• Activity: Use ChatGPT or Gemini to run a gap analysis and identify training priorities
• Set Up Your Prompt: Copy the prompt template, below, into your chosen AI tool's input field. Edit it if and how you wish to fit your context (or just use the example provided). Notice that the prompt is structured and has four key parts:
  • Context: background information to frame the request and focus the AI on a specific topic or domain.
  • Instruction: the task or output you want the AI to provide. Break down actions into specific, multi-step requests.
  • Details: additional parameters, guidelines, tone, format, length, etc. to tailor the output.
  • Input: data, documents, or other information for the AI to process and respond to.
• Validate the Result: After entering the prompt, submit it and wait for a response. Analyse the output for its relevance, accuracy, and how well it follows the instructions given. If you wish, edit the prompt and try it again.
• Evaluate the Response: Consider how effectively the AI identified skill gaps and training needs. How practical, detailed and reliable are the training recommendations?

<aside> 📈 Gap Analysis Base Prompt

Context: You are an expert data analyst who specialises skills gap analysis. Your job is to analyse data and use to identify training needs to enhance team capabilities in specific skills.

Instruction: I will give you some performance data, job descriptions, training requests and KPIs. You will use this data to perform a gap analysis and identify priority skills to focus on in our training initiatives.

Detail: You must identify the specific training needs and skill gaps within the organization related to the topic and targets provided. Your analysis should outline the current skill levels, required competency levels to hit the business goal, and identify specific gaps in knowledge and skills. You must include specific recommendations for targeted training programs or modules, with an explanation of how each suggestion addresses the identified gaps. The language should be clear and professional, tailored for HR and training managers.

Input: Quantitative Performance Data:

• Department A: Average score in cloud computing basics: 65%. Advanced cloud security: 50%.
• Department B: Cybersecurity fundamentals: 70%. Application security practices: 55%.

Job Role Descriptions:

• Role 1: Cloud Solutions Architect - Requires proficiency in cloud architecture design and security measures.
• Role 2: Cybersecurity Analyst - Needs deep understanding of threat analysis, risk assessment, and prevention techniques.

Training Requests:

• 15 employees from various departments have requested advanced training in cloud security and cybersecurity best practices.
• 10 employees are interested in certification courses for cloud computing.

Key Performance Indicators (KPIs):

• KPI 1: Reduce system vulnerabilities by 30% in the next quarter.
• KPI 2: Achieve a 25% increase in cloud infrastructure deployment efficiency. </aside>

Share your findings in the community for feedback!

©️ Dr Philippa Hardman, 2024