🤖 AI & IT Training
AI Training Pre-Assessment and Customized Training Design
Before training, an online assessment of all employees (about 8 minutes per person, 23 questions) gives you data on AI usage experience, anxiety about change, usage skills, and role-specific needs — and we design groups by type and level plus a customized curriculum
⏱ DurationOnline assessment + 2 hours
🏢 FormatOn-site delivery · Customized design
👤 InstructorJohn Kim
✅ Key outcomeDesign training with data, not hunches — prevent satisfaction drops caused by level mismatches ('too easy' or 'too hard') before they happen
"Our employees are at completely different levels, and we don't know which AI training to start with." This is the first obstacle training managers hit when preparing company-wide AI training. In organizations with a large share of mid-career and senior employees in particular, people who find AI unfamiliar and intimidating end up in the same room as people who already use it every day, so the training tends to be too hard for half the group and too easy for the other half. This course is a pre-assessment program that uses data to show where your organization stands before training begins. With one link, every employee can complete an online assessment (4 areas, 23 questions) on mobile in about 8 minutes. It measures ① AI usage experience ② attitudes and anxiety about change ③ practical skills (behavior-based self-assessment) and ④ role-specific training needs, and as soon as they submit, respondents see their own AI usage type (Watcher, Explorer, Practitioner, Pioneer) and level. Individual responses are not shared with the company and are analyzed only as statistics, which encourages honest answers, and the questions are customized to your business terminology and job categories. The results are delivered as two documents, an assessment report for executives and a training design brief for instructors, which lead into level-based class group criteria, hands-on topic priorities, and a training roadmap proposal. Re-assessing with the same questions after training lets you demonstrate training impact with before-and-after data.
💻 Start learning this topic with an online course →Who is this course for?
This course suits practitioners and leaders at companies and institutions that want to build AI and IT training capability. It is especially recommended for organizations that want to see, in data, how AI usage types (Watcher, Explorer, Practitioner, Pioneer) and levels (Lv.1–4) are distributed across all employees.
What will you learn?
- See, in data, the distribution of all employees by AI usage type (Watcher, Explorer, Practitioner, Pioneer) and level (Lv.1–4)
- Quantify anxiety about change by age group and job role to identify 'groups that need support,' and build this into the training introduction
- Identify priorities among role-specific training topics, such as drafting plans, organizing meeting minutes, summarizing documents, and organizing data
- Check in advance how AI tools can be used on company PCs (allowed, restricted, blocked) to finalize how the hands-on training will run
- Use the results to design level-based class group criteria, hands-on topics, and a customized curriculum, and secure a baseline for measuring impact through a post-training re-assessment
Curriculum
STEP 1: Assessment design — questions tailored to your company’s language (2–3 days after kickoff)
- Standard assessment framework — 23 questions across 4 areas: ① AI usage experience (frequency, tools, purposes) ② Perception and anxiety about change (7 Likert-scale questions) ③ Usage skills (6 behavior-based questions on writing prompts, verifying facts, analyzing files, distinguishing security levels, etc.) ④ Role-specific training needs
- Customized to your company — job categories (production, quality, R&D, sales, corporate support, etc.) and training-interest options are adapted to the terms your teams actually use
- Trust by design, so answers are honest — respondents are told 'This assessment is not an evaluation. Only aggregate statistics are shared with the company,' and individual responses stay confidential
- Built to meet legal requirements for personal data consent (purpose, data items, retention period, deletion) — ready for large-enterprise security and compliance review
STEP 2: Online assessment (about 1 week)
- Join with just a shared link — no installation or sign-up. Distribute via company email or messenger; works on mobile and PC
- About 8 minutes per person — screens designed with large text and simple multiple-choice answers for middle-aged and senior respondents
- Instant personal results — respondents immediately see their own AI usage type (Watcher 🌱 · Explorer 🔍 · Practitioner 🛠️ · Pioneer 🚀), level, and a recommended first step, which motivates participation
- Real-time response tracking — monitor participation rates, with flexible extension or early closing of the response period
STEP 3: Analysis — cross-analysis of type, level, anxiety, and needs
- Respondents are classified into 4 types on a 2-axis matrix of capability (usage experience + practical skills) × acceptance (expectation vs. anxiety), and the distribution across the whole organization is calculated
- Change anxiety index — cross-analysis of concerns about shrinking roles, learning workload, and falling behind, by age group and job function
- Role-specific training needs — analysis of preferred topics (up to 3 choices), the repetitive tasks that take the most time, and open-ended answers on 'tasks I want to solve'
- Hands-on environment check — whether AI tools are allowed, restricted, or blocked on company PCs, so you can plan the training room setup in advance
STEP 4: Results report — briefing for executives and managers (2 hours)
- Executive assessment report — key summary, interpretation of type distribution, findings by area, characteristics by role and age group, and training design recommendations (statistics only, no personally identifiable information)
- Training design brief for instructors — level-based class group criteria and expected headcount, how to support high-anxiety groups, and hands-on topic priorities
- Q&A to align on training direction — confirm audience, number of sessions, schedule, and hands-on environment
- Customized training roadmap proposal — a phased expansion from common fundamentals → role-specific practice → level-based advanced training
STEP 5: Link to training and measure impact
- Curriculum built from the assessment results — hands-on practice with ChatGPT and other AI tools, centered on the needs the assessment identified, such as drafting plans, meeting minutes, and document summaries
- Level-based class groups — a basic class for Watchers and Explorers and an advanced class for Practitioners and Pioneers, so difficulty matches each group
- Post-training reassessment — re-measure with the same questions and show the change in skills and adoption with before-and-after data
- Cumulative tracking — repeat assessments by department and cohort to monitor how organizational AI capability changes over time
Tools used in this course
Expected results / After the course
- Design training with data, not hunches — prevent satisfaction drops caused by level mismatches ('too easy' or 'too hard') before they happen
- Training that accounts for the concerns of anxious employees — help your organization see AI as a work tool, not a threat
- Executive assessment report — evidence for the training investment decision, and a baseline for measuring impact against the post-training re-assessment
About the instructor
John KimInstructor John Kim, author of “B2B Marketing Design” and CEO of Nanum ConsultingView profile →
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We tailor this course to your company
From diagnosis to execution — Nanum Consulting
FAQ
Yes. The assessment, report, and briefing can be delivered on their own. Combining them with training is the most effective option, because the results feed straight into the curriculum design. When purchased as a package with training, the assessment fee is adjusted through discussion.
That is exactly what this assessment is designed around. The first screen states clearly that it is not an evaluation and that only aggregate statistics are shared with the company, and the report contains no personally identifiable information. Respondents also see their own AI usage type and a recommended first step as soon as they submit, in a fun format, which raises both completion rates and response quality.
There is no headcount limit. We run everything the same way, from a single department of a few dozen people to a company-wide assessment of several hundred. Typically, 2–3 days of question tailoring + a 1-week response period + 2–3 days of analysis and report preparation brings you to the briefing in about 2 weeks. If your training date is close, we can discuss an accelerated schedule.
Well suited to organizations where AI proficiency varies widely and training difficulty is hard to set, where a high share of employees aged 40 and over means anxiety about change must be handled with care, and where company-wide AI training is being introduced for the first time and executives need supporting evidence. It is especially effective in organizations that mix field roles such as manufacturing and quality with office roles, so training needs differ by job.
AI Training Pre-Assessment and Customized Training Design
Before training, an online assessment of all employees (about 8 minutes per person, 23 questions) gives you data on AI usage experience, anxiety about change, usage skills, and role-specific needs — and we design groups by type and level plus a customized curriculum
Training objectives
- See, in data, the distribution of all employees by AI usage type (Watcher, Explorer, Practitioner, Pioneer) and level (Lv.1–4)
- Quantify anxiety about change by age group and job role to identify 'groups that need support,' and build this into the training introduction
- Identify priorities among role-specific training topics, such as drafting plans, organizing meeting minutes, summarizing documents, and organizing data
- Check in advance how AI tools can be used on company PCs (allowed, restricted, blocked) to finalize how the hands-on training will run
- Use the results to design level-based class group criteria, hands-on topics, and a customized curriculum, and secure a baseline for measuring impact through a post-training re-assessment
Expected results
- Design training with data, not hunches — prevent satisfaction drops caused by level mismatches ('too easy' or 'too hard') before they happen
- Training that accounts for the concerns of anxious employees — help your organization see AI as a work tool, not a threat
- Executive assessment report — evidence for the training investment decision, and a baseline for measuring impact against the post-training re-assessment
Curriculum
Module 1STEP 1: Assessment design — questions tailored to your company’s language (2–3 days after kickoff)
- Standard assessment framework — 23 questions across 4 areas: ① AI usage experience (frequency, tools, purposes) ② Perception and anxiety about change (7 Likert-scale questions) ③ Usage skills (6 behavior-based questions on writing prompts, verifying facts, analyzing files, distinguishing security levels, etc.) ④ Role-specific training needs
- Customized to your company — job categories (production, quality, R&D, sales, corporate support, etc.) and training-interest options are adapted to the terms your teams actually use
- Trust by design, so answers are honest — respondents are told 'This assessment is not an evaluation. Only aggregate statistics are shared with the company,' and individual responses stay confidential
- Built to meet legal requirements for personal data consent (purpose, data items, retention period, deletion) — ready for large-enterprise security and compliance review
Module 2STEP 2: Online assessment (about 1 week)
- Join with just a shared link — no installation or sign-up. Distribute via company email or messenger; works on mobile and PC
- About 8 minutes per person — screens designed with large text and simple multiple-choice answers for middle-aged and senior respondents
- Instant personal results — respondents immediately see their own AI usage type (Watcher 🌱 · Explorer 🔍 · Practitioner 🛠️ · Pioneer 🚀), level, and a recommended first step, which motivates participation
- Real-time response tracking — monitor participation rates, with flexible extension or early closing of the response period
Module 3STEP 3: Analysis — cross-analysis of type, level, anxiety, and needs
- Respondents are classified into 4 types on a 2-axis matrix of capability (usage experience + practical skills) × acceptance (expectation vs. anxiety), and the distribution across the whole organization is calculated
- Change anxiety index — cross-analysis of concerns about shrinking roles, learning workload, and falling behind, by age group and job function
- Role-specific training needs — analysis of preferred topics (up to 3 choices), the repetitive tasks that take the most time, and open-ended answers on 'tasks I want to solve'
- Hands-on environment check — whether AI tools are allowed, restricted, or blocked on company PCs, so you can plan the training room setup in advance
Module 4STEP 4: Results report — briefing for executives and managers (2 hours)
- Executive assessment report — key summary, interpretation of type distribution, findings by area, characteristics by role and age group, and training design recommendations (statistics only, no personally identifiable information)
- Training design brief for instructors — level-based class group criteria and expected headcount, how to support high-anxiety groups, and hands-on topic priorities
- Q&A to align on training direction — confirm audience, number of sessions, schedule, and hands-on environment
- Customized training roadmap proposal — a phased expansion from common fundamentals → role-specific practice → level-based advanced training
Module 5STEP 5: Link to training and measure impact
- Curriculum built from the assessment results — hands-on practice with ChatGPT and other AI tools, centered on the needs the assessment identified, such as drafting plans, meeting minutes, and document summaries
- Level-based class groups — a basic class for Watchers and Explorers and an advanced class for Practitioners and Pioneers, so difficulty matches each group
- Post-training reassessment — re-measure with the same questions and show the change in skills and adoption with before-and-after data
- Cumulative tracking — repeat assessments by department and cohort to monitor how organizational AI capability changes over time
About the instructor
John Kim, Lead Instructor
10 years in industry · 15 years teaching (3,000+ lectures)
Education
· MBA (advanced major: Marketing), Korea University Graduate School of Business (graduated)
· Sungkyunkwan University Consultant Program (completed)
· Sogang University Graduate School of Business, Short-Term MBA (completed)
· Seoul National University Lifelong Education Instructor Development Program (completed)
· Chung-Ang University, B.A. in English Language and Literature (graduated)
Experience
· Current: CEO, Nanum Consulting
· Formerly at Hyosung Corp., Daeduck Electronics and Shinhan Diamond: overseas assignments and strategic planning (10+ years)
· Current partner instructor, Expert Consulting
· Current: Partner instructor, PSI Consulting
· (Current) Partner instructor, Korea SMEs and Startups Agency and SME Training Institute
Credentials and publications
· Certified consultant
· Certified teacher
· Completed official IDEO Design Thinking training
· B2B Marketing Design (1 Apr 2025)
· The Chinese Diamond Tool Market: Present and Future (co-authored, Korea Tool Association)
· Battles That Changed History and Innovative Weapons (in progress)