Prompt Library

Design Training That Actually Changes Behavior

30 copy-paste prompts

30 expert ChatGPT prompts for needs analysis, instructional design, workshop facilitation, e-learning content, assessments, and onboarding programs.

In short: This page contains 30 copy-paste ready prompts, organized into 6 categories with a description and pro tip for each. The first 5 prompts are free instantly, no signup needed. Drafted with AI writing assistance and checked against our editorial policy.

Louis Corneloup
By Louis Corneloup · Founder, Techpresso
Last updated ·Drafted with AI assistance (how we make prompts)

Training Needs Analysis

5 prompts

Skills Gap Assessment

1/30

✨ What it does

ChatGPT builds a skills-gap toolkit for [department/team] in [list roles] against this year’s [describe], with a matrix, a 10-question self-rating, and a manager view. You run both surveys, then prioritize the gaps that block those objectives.

I need to conduct a skills gap analysis for [department/team]. Current roles: [list roles]. Business objectives for this year: [describe]. Create: (1) a skills matrix template listing critical competencies for each role, (2) a self-assessment survey (10 questions) employees can complete to rate their proficiency, (3) a manager assessment companion that rates the same skills from a supervisor perspective, (4) how to identify the gap between current state and required state, (5) a prioritization framework — which gaps to close first based on business impact.

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Pro tip: Self-assessments skew optimistic. Always pair them with manager assessments and, ideally, observed performance data to get an accurate picture.

Training Needs Survey

2/30

✨ What it does

ChatGPT designs a short training-needs survey for [organization/department] of [number] people, given [describe what exists] and [describe], covering confidence, format, and time. You send the 12 questions, then use the analysis plan on the replies.

Design a training needs survey for [organization/department]. Employees: [number]. Current training: [describe what exists]. Business challenges: [describe]. Create a survey with: (1) 12 questions maximum covering skill confidence, preferred learning formats, time availability, and specific knowledge gaps, (2) a mix of Likert scale, multiple choice, and 2 open-ended questions, (3) an introduction that explains why their input matters, (4) a results analysis framework — how to turn responses into a training plan, (5) suggested follow-up focus groups for the top 3 themes.

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Pro tip: Ask "what prevents you from doing your job well?" not "what training do you want?" The first reveals real needs; the second reveals wish lists.

ROI Business Case for Training

3/30

✨ What it does

ChatGPT writes a business case for [describe] aimed at [who and how many], tying [describe with metrics if possible] to cost of inaction versus [amount]. You add the real metrics, then take the case to the budget owner.

Help me build a business case for a training program. Program: [describe]. Target audience: [who and how many]. Current performance problem: [describe with metrics if possible]. Estimated cost: [amount]. Create: (1) a problem statement linking the performance gap to business outcomes (revenue, retention, quality, compliance), (2) projected ROI using Kirkpatrick Level 4 metrics, (3) cost of doing nothing — what happens if we do not train, (4) comparison of training options (in-house, external, e-learning, blended) with cost-benefit for each, (5) a measurement plan to prove ROI after delivery, (6) a one-page executive summary I can present to leadership.

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Pro tip: Executives do not approve training — they approve solutions to business problems. Frame every training request as "this solves X business problem" not "employees need to learn Y."

Competency Framework Builder

4/30

✨ What it does

ChatGPT builds a competency framework for [role or role family] in [industry] at [individual contributor, senior, lead, manager, director], with behaviors and what changes at each step. You test the behaviors with hiring managers, then use them in reviews.

Build a competency framework for [role or role family]. Organization: [describe]. Industry: [industry]. Levels: [individual contributor, senior, lead, manager, director]. For each level: (1) 5-7 core competencies with behavioral indicators for each, (2) a progression from one level to the next — what changes, (3) technical competencies specific to this role, (4) leadership competencies that emerge at higher levels, (5) how to use this framework for hiring, development planning, and performance reviews. Make it specific enough to be useful, not so detailed that managers ignore it.

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Pro tip: A competency framework nobody uses is worse than none at all. Keep it to 5-7 competencies per level. More than that and managers will never reference it.

Learning Path Designer

5/30

✨ What it does

ChatGPT designs a learning path for [role] from [entry level] to [target level] over [months], using the skills in [list] plus the budget, LMS, and experts you have, with milestones and checks. You enroll the first cohort, then verify each milestone before they advance.

Design a learning path for [role] from [entry level] to [target level]. Skills needed: [list]. Timeline: [months]. Available resources: [describe — budget, LMS, internal experts, etc.]. Create: (1) a phased learning journey with milestones (what they should know and do at each phase), (2) a mix of learning modalities — courses, mentoring, projects, shadowing, reading, (3) checkpoints to verify learning (not just completion), (4) estimated time investment per phase, (5) a self-directed version and a manager-guided version, (6) how to measure when someone has genuinely reached the target level.

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Pro tip: The best learning paths are 70% on-the-job experience, 20% social learning, and 10% formal training. If your path is all courses, people learn but do not change behavior.

Course & Curriculum Design

5 prompts

Course Outline Generator

6/30

✨ What it does

ChatGPT writes a course outline for [topic] lasting [hours/days] in [in-person, virtual, self-paced, blended], aimed at [what participants should be able to DO after, not just know]. You time each module, then build the slides from that outline.

Create a course outline for: [topic]. Audience: [describe — role, current knowledge, what they need to do after]. Duration: [hours/days]. Format: [in-person, virtual, self-paced, blended]. Learning objectives: [what participants should be able to DO after, not just know]. Create: (1) 4-6 modules with clear learning objectives per module (use Bloom's taxonomy verbs), (2) content outline for each module — key concepts, activities, and timing, (3) at least one hands-on activity or practice per module (not just lecture), (4) assessment method per module, (5) prerequisite knowledge, (6) materials and resources needed.

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Pro tip: Write learning objectives as "After this module, participants will be able to [action verb] [specific task]." If you cannot finish that sentence, the module is not focused enough.

Microlearning Module Script

7/30

✨ What it does

ChatGPT writes a 5-minute microlearning script on [specific topic] for [describe] inside a series on [broader topic], with a hook, one idea, and a right-versus-wrong example. You record it as written, then add the practice question at the end.

Write a 5-minute microlearning module on [specific topic]. Audience: [describe]. This is part of a series on [broader topic]. The module should: (1) open with a hook — a scenario, question, or surprising fact (15 seconds), (2) teach ONE concept clearly with an example (2 minutes), (3) show a wrong way vs right way comparison (1 minute), (4) include a practice exercise or reflection question (1 minute), (5) close with a summary and a link to the next module (30 seconds). Write it as a script with visual/slide suggestions in brackets. Keep language conversational, not academic.

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Pro tip: Microlearning works because it respects attention spans. One concept per module. If you are tempted to add "just one more thing," make it a separate module.

Case Study for Training

8/30

✨ What it does

ChatGPT writes a realistic case study for training on [topic] for people in [describe their role], with 3-4 decision points and a facilitator guide. You run it in the room, then use the guide to debrief the choices.

Write a realistic case study for a training session on [topic]. Audience: [describe their role]. The case should: (1) present a realistic scenario they would actually face at work (not a textbook example), (2) include enough detail to analyze but not so much it overwhelms, (3) embed 3-4 decision points where learners must choose an approach, (4) have no single "right" answer — create genuine tension between valid options, (5) include discussion questions that push beyond surface-level analysis, (6) provide a facilitator guide with teaching points for each discussion question.

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Pro tip: The best training case studies come from real situations (anonymized). Ask subject matter experts "what is the hardest decision someone in this role faces?" and build the case around that.

Blended Learning Program Design

9/30

✨ What it does

ChatGPT designs a blended program on [topic] over [total weeks] for [number of participants and their context] using [LMS, video tools, etc.], alternating self-paced work and live sessions. You load the self-paced pieces, then facilitate the live weeks as planned.

Design a blended learning program for [topic]. Duration: [total weeks]. Audience: [number of participants and their context]. Available technology: [LMS, video tools, etc.]. Create: (1) a week-by-week structure alternating between self-paced and live components, (2) self-paced elements — videos, readings, quizzes (with content descriptions), (3) live session agendas — activities that require human interaction (not lecture), (4) peer learning components — discussion forums, buddy pairs, group projects, (5) a communication plan — when and how to nudge participants, (6) completion and engagement metrics to track.

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Pro tip: The live sessions in blended learning should ONLY do what cannot be done asynchronously: discussion, practice, feedback, and Q&A. If you are lecturing in live sessions, make it a video instead.

Scenario-Based E-Learning Script

10/30

✨ What it does

ChatGPT writes a branching e-learning scenario on [topic] where the learner is [role] in [describe the situation], with 3-4 decisions and consequences that teach. You build the branches in your authoring tool, then test every path.

Write a branching scenario for an e-learning module on [topic]. The learner plays the role of [role]. The scenario: [describe the situation]. Create: (1) an opening scene that sets the context, (2) 3-4 decision points where the learner chooses an action, (3) for each decision: 2-3 options with realistic consequences (no obviously wrong answer), (4) branching paths — different choices lead to different outcomes, (5) a debrief at the end explaining the optimal path and why, (6) feedback for each choice that teaches, not just judges ("You chose X. Here is why that approach tends to..." not "Wrong!").

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Pro tip: Branching scenarios are the closest thing to real practice in e-learning. The learning happens in the consequences, not the choices. Make consequences realistic and consequential.

Workshop Facilitation

5 prompts

Workshop Facilitation Guide

11/30

✨ What it does

ChatGPT writes a facilitation guide for a [duration] workshop on [topic] for [number and roles], aimed at [what they should leave being able to do], with minute-by-minute timing. You gather the materials, then run it to that clock.

Create a complete facilitation guide for a [duration] workshop on [topic]. Participants: [number and roles]. Learning goal: [what they should leave being able to do]. Create: (1) a minute-by-minute agenda with activity descriptions and transitions, (2) an opening exercise that builds psychological safety and establishes relevance (not a generic icebreaker), (3) 2-3 core learning activities with step-by-step facilitation instructions, (4) materials list (flip charts, handouts, sticky notes, etc.), (5) energy management — when to take breaks, when to switch modalities, (6) a closing activity that creates commitment to apply learning, (7) facilitation tips for handling dominant participants, quiet participants, and off-topic tangents.

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Pro tip: Plan your transitions as carefully as your activities. A 30-second "turn to your neighbor and share one takeaway" between sections resets attention and deepens processing.

Interactive Activity Designer

12/30

✨ What it does

ChatGPT designs 5 activities for a session on [topic] for [describe] in a group of [number], given [in-person/virtual, time per activity, materials available], with steps and a debrief. You pick three that fit the clock, then run them and debrief each one.

Design 5 interactive learning activities for a training session on [topic]. Audience: [describe]. Group size: [number]. Constraints: [in-person/virtual, time per activity, materials available]. For each activity: (1) name and brief description, (2) learning objective it serves, (3) step-by-step instructions, (4) time required, (5) debrief questions to extract learning from the experience, (6) adaptations for virtual delivery if in-person, or vice versa. Mix activity types: at least one individual reflection, one pair work, one small group, and one full-group activity.

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Pro tip: The debrief is where learning happens, not the activity itself. An activity without a debrief is entertainment. Budget equal time for the debrief as for the activity.

Train-the-Trainer Program

13/30

✨ What it does

ChatGPT designs a train-the-trainer path for [course/topic] so [number] people with [describe] experience can deliver it the same way, from shadow to solo. You certify them against that path, then sit in on the first solo session.

Design a train-the-trainer program for [course/topic]. I need [number] internal trainers to deliver this consistently. Their current teaching experience: [describe]. Create: (1) a trainer certification curriculum — what they need to know and practice, (2) a co-facilitation plan — how they shadow, co-deliver, then solo deliver, (3) a trainer guide with scripted key points, common questions, and troubleshooting, (4) an observation checklist for evaluating trainer delivery, (5) a quality assurance process — how to maintain consistency across trainers, (6) ongoing development — how trainers improve over time.

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Pro tip: Subject matter expertise does not equal teaching ability. The best trainers are facilitators, not lecturers. Evaluate on how they engage participants, not how much content they cover.

Virtual Workshop Engagement Plan

14/30

✨ What it does

ChatGPT redesigns your virtual session on [describe] lasting [hours] on [Zoom/Teams/Webex] for [number] people, with an interaction every few minutes so they stop drifting. You rebuild the agenda that way, then run the polls and breakouts as written.

My virtual workshop keeps losing participants to multitasking. Topic: [describe]. Duration: [hours]. Platform: [Zoom/Teams/Webex]. Participants: [number]. Fix my engagement: (1) redesign the agenda with an interaction every 4-5 minutes (polls, chat, breakouts, annotations, reactions), (2) specific engagement tools to use at each point, (3) a "cameras on" strategy that is encouraging, not demanding, (4) a co-facilitator role — what they monitor and manage, (5) pre-work that creates investment before the session starts, (6) a follow-up activity within 24 hours that reinforces learning.

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Pro tip: In virtual training, if you are talking for more than 4 minutes without an interaction, you have lost half the room to email. Plan an engagement touchpoint every 3-5 minutes — non-negotiable.

Difficult Participant Strategies

15/30

✨ What it does

ChatGPT gives you specific moves for the dominator, the resistor, and other hard behaviors in your usual sessions, including what is usually underneath. You try the matching move next time, then debrief yourself after class.

I facilitate training sessions and regularly encounter difficult participant behaviors. My context: [describe typical sessions — topic, audience, format]. Give me strategies for: (1) the dominator — talks too much, answers every question, derails discussions, (2) the resistor — arms crossed, "this does not apply to me," openly skeptical, (3) the side-conversationalist — whispers to neighbors during content, (4) the smartphone addict — constantly checking their phone, (5) the too-quiet participant — never contributes but might be disengaged or just introverted. For each: the root cause, 2-3 in-the-moment interventions, and prevention strategies for next time.

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Pro tip: Most "difficult" participants are reacting to a legitimate need — relevance, respect, or engagement. Address the need and the behavior usually resolves. Confrontation makes it worse.

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Assessment & Evaluation

5 prompts

Knowledge Assessment Builder

16/30

✨ What it does

ChatGPT builds a 15-question knowledge check on [topic] for [describe] as a [pre-training diagnostic / post-training evaluation / certification exam], mixing recall, scenarios, and short answers. You run it as planned, then score with the key and the rubric.

Create a knowledge assessment for a training program on [topic]. Audience: [describe]. The assessment should be: [pre-training diagnostic / post-training evaluation / certification exam]. Create: (1) 15 questions mixing: 5 multiple choice (test recall), 5 scenario-based (test application), and 5 short-answer (test synthesis), (2) an answer key with explanations for why each answer is correct, (3) a scoring rubric for short-answer questions, (4) a passing threshold recommendation, (5) how to use pre/post scores to measure training effectiveness, (6) accommodations for different learning needs.

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Pro tip: Scenario-based questions test whether people can apply knowledge, not just recall it. If your assessment is all recall questions, you are measuring memorization, not capability.

Kirkpatrick Evaluation Plan

17/30

✨ What it does

ChatGPT designs a four-level evaluation plan for [training program] for [describe], from reaction and learning through on-the-job change and business results. You schedule the 30-60-90 checks, then report each level to the sponsor.

Design a training evaluation plan using the Kirkpatrick model for [training program]. Audience: [describe]. Business goal: [describe]. For each level: Level 1 (Reaction): survey questions and timing. Level 2 (Learning): pre/post assessment approach. Level 3 (Behavior): how to measure on-the-job behavior change 30-60-90 days after. Level 4 (Results): business metrics to track and how to attribute improvement to training. Include: (1) specific tools and templates for each level, (2) data collection timeline, (3) who is responsible for each measurement, (4) how to present results to stakeholders.

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Pro tip: Most organizations only measure Level 1 (did they like it?). The real value is in Level 3 (did behavior change?) and Level 4 (did business results improve?). Push past the smile sheet.

Skills-Based Practical Assessment

18/30

✨ What it does

ChatGPT designs a practical assessment of [skill] for [certification / competency verification / development planning], using [describe what proficiency looks like], with a checklist, a task, and an assessor guide. You run the task, then score only what you can see.

Design a practical skills assessment for [skill]. This is for: [certification / competency verification / development planning]. The skill requires: [describe what proficiency looks like]. Create: (1) an observable performance checklist — specific behaviors to look for, (2) a realistic scenario or task the person must complete, (3) a rubric with 4 levels: novice, developing, proficient, expert — with specific behavioral descriptions for each, (4) assessor instructions — how to observe without interfering, (5) a feedback template for delivering results, (6) a development plan template for those who do not yet meet proficiency.

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Pro tip: Practical assessments must reflect actual job conditions. If you assess customer service skills in a quiet room, you are not testing the skill — you are testing in ideal conditions that never exist.

Training Feedback Survey

19/30

✨ What it does

ChatGPT writes a post-training survey for [describe] lasting [length] in [in-person/virtual/e-learning] that asks about job use and what to change, not only whether people liked it. You send it the same day, then act on the two open comments that repeat.

Create a post-training feedback survey that goes beyond "did you like it?" Training: [describe]. Duration: [length]. Format: [in-person/virtual/e-learning]. Create: (1) 10 questions covering: relevance to job, quality of facilitation, practical applicability, pace, and most/least valuable elements, (2) 2 open-ended questions that generate actionable improvement data, (3) a Net Promoter Score question adapted for training ("How likely are you to recommend this training to a colleague?"), (4) questions that predict behavior change (not just satisfaction), (5) timing — when to send for best response rates, (6) how to analyze and act on the results.

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Pro tip: The most useful survey question is "What is the one thing you will do differently starting Monday?" If participants cannot answer this specifically, the training did not land.

Certification Program Design

20/30

✨ What it does

ChatGPT designs an internal certification for [skill/role] for [who can pursue certification], given [why certification matters], with requirements, prep, tests, and how you recognize people. You publish the rules, then run the first cohort through the assessments.

Design an internal certification program for [skill/role]. Audience: [who can pursue certification]. Business purpose: [why certification matters]. Create: (1) certification requirements — knowledge, skills, and experience criteria, (2) a learning pathway to prepare candidates, (3) assessment components — written, practical, portfolio, or combination, (4) recertification requirements (how to stay current), (5) governance — who evaluates, who decides, appeals process, (6) recognition — how certification is communicated internally and what it unlocks (pay, opportunities, title).

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Pro tip: Certification programs fail when they are too easy (everyone passes, so it means nothing) or too bureaucratic (nobody pursues it). Find the balance where it is meaningful but achievable.

Onboarding Programs

5 prompts

90-Day Onboarding Plan

21/30

✨ What it does

ChatGPT designs a 90-day onboarding plan for [role] in [describe] on a team of [number] with a manager of [describe availability], week by week from setup to contributing. You put the meetings on the calendar, then check the success bar at each phase.

Design a 90-day onboarding program for [role]. Department: [describe]. Team size: [number]. Manager: [describe availability]. Create a phased plan: Days 1-7: orientation and setup — what happens each day. Days 8-30: learning phase — key knowledge, systems, processes, and initial projects. Days 31-60: contributing phase — increasing independence with check-ins. Days 61-90: performing phase — full responsibilities with support. For each phase: (1) specific milestones, (2) meetings to schedule (who, purpose, timing), (3) resources to provide, (4) check-in cadence with manager, (5) success criteria — how to know the new hire is on track.

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Pro tip: The first week shapes the next year. A new hire who feels lost in week one takes 3x longer to reach productivity than one with a structured first week. Over-invest in days 1-5.

Onboarding Buddy Program

22/30

✨ What it does

ChatGPT designs a buddy program for an organization of [number] with [describe] onboarding today, covering who should buddy, what they do not do, and a weekly guide. You train the first buddies, then ask new hires if the pairing helped.

Design an onboarding buddy program for new hires. Organization size: [number]. Average new hires per month: [number]. Current onboarding: [describe]. Create: (1) buddy role description — what they do and do not do (not a manager, not a trainer), (2) buddy selection criteria — who makes a good buddy, (3) a buddy training session outline (30-60 minutes), (4) a week-by-week guide for buddies — what to cover when, (5) conversation starters for the first 5 buddy meetings, (6) how to measure buddy program effectiveness, (7) recognition for buddies — how to make it desirable, not burdensome.

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Pro tip: The buddy answers the questions new hires are afraid to ask their manager: "Is it OK to eat at my desk? Who should I NOT cc on emails? What are the unwritten rules?"

Remote Onboarding Experience

23/30

✨ What it does

ChatGPT designs remote onboarding for [role] who is [fully remote / hybrid] on a [distributed/mostly in-office] team with [company ships laptop or BYOD], from pre-start box to a day-one welcome that is not a login maze. You ship the kit early, then stay on the call until they are in.

Design a remote onboarding experience for [role]. The new hire is [fully remote / hybrid]. Team is [distributed/mostly in-office]. Equipment: [company ships laptop or BYOD]. Create: (1) a pre-start checklist — what to ship, set up, and communicate before day one, (2) day-one virtual schedule — make them feel welcome, not abandoned, (3) a week-one plan with virtual coffee chats, team introductions, and system walkthroughs, (4) strategies to prevent isolation in the first month, (5) virtual team-building touchpoints throughout the 90 days, (6) technology setup guide they can follow independently, (7) how the manager maintains connection without micromanaging.

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Pro tip: Remote onboarding fails when it is just a series of video calls. Build in asynchronous elements (recorded intros, self-paced learning) and social elements (virtual coffee, Slack introductions) alongside meetings.

Manager Onboarding Checklist

24/30

✨ What it does

ChatGPT writes a hiring-manager onboarding checklist for [describe], split from HR and the buddy, covering pre-arrival, day one, and the first-week meetings. You run that list yourself, then do not hand those meetings to someone else.

Create a manager's checklist for onboarding a new team member. Role: [describe]. This is for the hiring manager, not HR. Create: (1) pre-arrival tasks — desk/equipment, team communication, first-week schedule, buddy assignment, (2) day-one agenda from the manager's perspective, (3) first-week meetings to schedule — include stakeholders, cross-functional partners, skip-level, (4) 30-60-90 day conversation guides — what to discuss at each check-in, (5) red flags to watch for that indicate the onboarding is not working, (6) what to delegate to HR/buddy vs what only the manager should do.

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Pro tip: The manager relationship is the #1 predictor of new hire retention. A structured first 1:1 in the first 48 hours sets the tone. Do not let the new hire's first week pass without a real conversation about expectations.

Onboarding Content Library

25/30

✨ What it does

ChatGPT designs a self-serve onboarding library for [organization/department] covering company, product, processes, tools, and culture, with order, formats, and who updates what. You build the first five pieces, then point new hires there on day one.

Design a self-service onboarding content library for [organization/department]. New hires need to learn about: [list key topics — company, product, processes, tools, culture]. Create: (1) a content outline organized by topic with priority order (what to learn first), (2) for each topic: format recommendation (video, doc, interactive, shadowing), ideal length, and who should create it, (3) a "getting started" learning path that guides new hires through content in the right order, (4) knowledge checks after key sections, (5) an FAQ section built from questions previous new hires asked, (6) a maintenance plan — who updates content and how often.

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Pro tip: An onboarding content library is only useful if it is maintained. Assign an owner for each section. Content that is 6 months outdated is worse than no content — it teaches wrong information with confidence.

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E-Learning Development

5 prompts

E-Learning Storyboard

26/30

✨ What it does

ChatGPT storyboards an e-learning module on [topic] lasting [minutes] in [Articulate/Captivate/Rise/Canva/other] for [describe], slide by slide with visuals, short text, and narration. You build it in that tool, then click every interaction before you publish.

Create a storyboard for an e-learning module on [topic]. Duration: [minutes]. Tool: [Articulate/Captivate/Rise/Canva/other]. Audience: [describe]. For each slide/screen: (1) visual description — layout, images, graphics, (2) on-screen text (concise — not paragraphs), (3) narration script if audio is included, (4) interactions — click, drag, hover, quiz, (5) navigation notes — linear or branching. Include: an engaging opener, content screens, practice activities, knowledge check, and summary. Follow multimedia learning principles (Mayer): no walls of text, meaningful graphics, segmented content.

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Pro tip: Apply the "one idea per screen" rule. If a screen has more than one concept, split it. Cognitive overload is the #1 reason e-learning fails — not boring content, but too much content per screen.

Video Training Script

27/30

✨ What it does

ChatGPT writes a [3/5/10]-minute training video script on [topic] in a [talking head / screencast / animated / mixed] style for [describe], with a 10-second hook and pause points. You record to that timing, then cut anything that misses the hook.

Write a script for a [3/5/10]-minute training video on [topic]. Style: [talking head / screencast / animated / mixed]. Audience: [describe]. The script should: (1) hook viewers in the first 10 seconds (why should they care?), (2) present content in 2-3 clear segments with visual transitions, (3) use conversational language — spoken, not written, (4) include visual direction in brackets [show diagram, cut to screen recording, display bullet points], (5) embed one interactive pause ("pause the video and try this"), (6) end with a clear summary and next action. Include estimated timing for each section.

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Pro tip: Training videos over 6 minutes lose 50% of viewers. If your content needs 15 minutes, make it 3 videos of 5 minutes. Shorter videos also make updates easier — you only re-record the changed section.

Gamification Strategy

28/30

✨ What it does

ChatGPT designs gamification for training on [topic] over [weeks], aimed at [describe], using only mechanics that serve the learning for that age, tech comfort, and motivation. You launch the few mechanics you chose, then drop any that become a points chase.

Design a gamification strategy for a training program on [topic]. Audience: [describe — age range, tech comfort, motivation level]. Program duration: [weeks]. Current engagement problem: [describe]. Create: (1) game mechanics to use — points, badges, leaderboards, levels, challenges, streaks (choose what fits, not everything), (2) how each mechanic connects to a learning objective (not just fun), (3) a progression system that maintains motivation over the full duration, (4) social elements — competition, collaboration, or both, (5) rewards structure — intrinsic and extrinsic, (6) implementation plan — what technology is needed. Avoid: gamification that rewards completion over comprehension.

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Pro tip: Bad gamification adds points to bad training. Good gamification makes practice feel rewarding. If removing the game elements would make the training useless, the training is the problem, not the gamification.

Learning Management System Setup

29/30

✨ What it does

ChatGPT organizes the LMS for [organization] on [name or "choosing one"] for [number] users and [courses, videos, documents, etc.], with categories, naming, roles, and how people will actually find things. You rename the messy courses, then invite a pilot group before you open it wide.

Help me organize our LMS for [organization]. LMS platform: [name or "choosing one"]. Number of users: [number]. Content types: [courses, videos, documents, etc.]. Create: (1) a content taxonomy — how to organize courses into categories and learning paths, (2) a naming convention for courses (consistent, searchable), (3) user role definitions — learner, manager, admin, instructor, (4) mandatory vs optional training setup with deadline management, (5) reporting dashboards — what metrics to track for learners, managers, and L&D, (6) a launch communication plan to drive adoption. Keep it simple — over-complicated LMS structures kill adoption.

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Pro tip: An LMS is a delivery tool, not a learning strategy. If your training does not work in person, putting it in an LMS will not fix it. Fix the content first, then optimize delivery.

Accessibility Compliance for Training

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✨ What it does

ChatGPT audits slides, videos, e-learning, handouts, and LMS content against [WCAG 2.1 / Section 508 / ADA / company policy], with a checklist and the usual fixes per type. You fix captions and contrast first, then re-check before the next class.

Audit my training materials for accessibility. Materials include: [describe — slides, videos, e-learning, handouts, LMS content]. Standards I need to meet: [WCAG 2.1 / Section 508 / ADA / company policy]. Create: (1) an accessibility checklist specific to training materials, (2) for each material type, the most common accessibility failures and how to fix them, (3) captioning and transcript requirements for video/audio, (4) how to make interactive e-learning accessible (keyboard navigation, screen reader compatibility), (5) accommodation strategies for live training (visual, hearing, cognitive, physical), (6) a testing protocol to verify accessibility before launch.

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Pro tip: Accessible training is better training for everyone. Captions help ESL learners. Clear structure helps everyone navigate. High contrast helps in bright rooms. Design for accessibility and you improve the experience for all.

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Frequently Asked Questions

ChatGPT can generate strong frameworks, outlines, and first drafts of training content. However, effective training requires understanding your specific organizational context, learner needs, and cultural dynamics that only you know. Use ChatGPT for structure, content generation, and assessment design, then customize based on your knowledge of the audience and environment.
Use the Kirkpatrick model: Level 1 measures reaction (did they like it?), Level 2 measures learning (did they learn?), Level 3 measures behavior (did they change?), Level 4 measures results (did business improve?). Most organizations only measure Level 1. Push to at least Level 3 by observing behavior change 30-60 days after training.
For live training, 90 minutes is the maximum before a substantial break is needed. For e-learning, 15-20 minutes per module is optimal. For microlearning, 3-7 minutes. Attention research consistently shows that learning drops significantly after 20 minutes of passive content. Build in interactions, activities, or breaks at minimum every 15-20 minutes.
Involve managers before, during, and after training. Before: send them objectives so they can set expectations with their team. During: give them a role (even a brief welcome). After: provide a conversation guide for applying learning on the job. Managers who are uninvolved before and after training send the message that it does not matter.
Build when the content is unique to your organization (processes, culture, proprietary systems). Buy when the content is universal (software skills, compliance, leadership fundamentals). Many programs benefit from a blend: buy the foundational content and build custom application exercises, case studies, and scenarios that make it relevant to your context.

Prompts are the starting line. Tutorials are the finish.

A growing library of hands-on tutorials on ChatGPT, Claude, Midjourney, and many other AI tools. New tutorials are added regularly.

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