Employee Training Software

So...can Claude Design replace Storyline’s view mode and try mode for software simulations? That was the question I wanted to answer this week. If you’ve ever built software training in Articulate Storyline, you know software simulations can be incredibly effective learning tools. You also know that Storyline’s view mode and try mode can be frustrating to create and maintain, especially once you move beyond simple click interactions. Text entry fields can be particularly painful. Small interface changes often require re-recording screens, rebuilding hotspots, adjusting feedback layers, or recreating parts of the simulation altogether. And when software interfaces are changing right up until launch, maintaining those simulations can become a project all by itself. What made this experiment particularly interesting is that it actually started with Anthropic’s new Fable 5 model. Before it was pulled offline, I had a chance to test it by providing a series of screenshots from a fictional CRM platform along with a simple description of the workflow I wanted learners to complete. With a single prompt, it generated both a guided software demonstration and an interactive simulation where learners could practice the workflow themselves. It included animated cursor movements, on-screen callouts, feedback messages, hints, text-entry validation, and even offered to package the experience as a SCORM course. That immediately raised another question: If Fable 5 could do this, could I recreate something similar using Claude Design? So I opened Claude Design, uploaded the same screenshots, described the workflow, and started experimenting. After a few rounds of refinement, I had a working software simulation that included a guided demo mode, an interactive practice mode, feedback for incorrect clicks, hints after multiple attempts, synced audio narration, and a standalone HTML file that could be hosted on the web. What surprised me most wasn’t necessarily that it worked...it was how quickly I was able to iterate. Instead of recording screens and building interactions slide by slide, the workflow felt much closer to editing and refining. If a screenshot changed, I could update the project rather than rebuilding significant portions of it. So, do I think this replaces Storyline today? Not entirely. There are still important questions around accessibility, SCORM, LMS tracking, governance, collaboration workflows, and long-term maintenance. But each time I run one of these experiments, I find myself less focused on whether AI perfectly replicates existing authoring tools and more focused on how these workflows might fundamentally change the way we create learning experiences in the future. 🔗 Watch the full experiment here: https://lnkd.in/g9SpjHaj #InstructionalDesign #eLearning #LearningAndDevelopment #ClaudeDesign #AI #ArtificialIntelligence #eLearningDevelopment #ArticulateStoryline #VibeCoding #Fable5

Not all soft skills training is created equal. A few months ago, I was working with a group of managers from a large manufacturing company. They had been through plenty of training programs before- the kind where you take notes and then go right back to doing things the old way. When I walked into the room, I could see it in their faces: Let’s see if this is any different. So instead of starting with slides or theory, I took them straight into a live simulation: - A crisis scenario that could actually happen in their business. - Conflicting priorities, tough personalities, and limited time to decide. - Every move they made in real time had visible consequences. To begin with, I saw a lot of resistance in experimentation, voices which were not too loud and over powering were ignored leading to loss of critical information- the room was tense. People hesitated. Some stuck to their usual patterns. But as it got deeper, they started communicating much more effectively, this led to them collaborating, noticing blind spots, and eventually testing new ways to lead. By the end, they weren’t asking- Will this work? They said that they wanted to cascade it to their teams. Weeks later, I got an email from one of the managers. He told me he used the exact process from our simulation to navigate a real customer crisis and not only avoided a major fallout, but actually strengthened the client relationship through this crisis. That’s the difference between training that’s forgotten by the time you’re back at your desk, and training that rewires how you think, act, and lead. The secret? Immersion. When participants practice real scenarios, solve actual challenges, and see the impact of their decisions in the room, learning sticks. Priya Arora #immersivelearning #trainingdesign #employeeengagement #learningthatsticks #corporatelearning #leadershipdevelopment #upskilling #skillbuilding #workplacetraining #experientiallearning #Learningdeisgn #corporatetrainer #softskillstrainer #simulation #experintialtraining

Most professionals get stuck in reporting mode. You know, endless charts, dashboards, and status updates. But real impact happens when you show: Why it happened. What’s next. ...not just what happened last week/month/quarter. Here’s the ladder to level up your data skills: Level 1: Reporting You build dashboards, clean data, make charts. Tools: Excel, Sheets, Power BI. Make no mistake. This is foundational. This is called "Descriptive Analytics," and your leaders must have it. However, think of it like electricity. They'll only appreciate it when it's gone. Level 2: Exploratory Analysis Now you're asking: • What patterns are in the data? • What metrics truly matter? • Where are the outliers? This is where you get to why something happened. Tools: Excel, SQL, Python. Leaders value explanations - especially when things aren't going well. Level 3: Pattern Discovery (Unsupervised ML) You start finding structure in messy data. No labels. Just hidden groupings. Examples: • Customer segments • Product groupings Tools: K-means & DBSCAN. Start delighting leaders with your new insights. Use Python in Excel to get started. Level 4: Predictive Modeling (Supervised ML) Now you’re using data like a crystal ball: • Will a customer cancel? • Will a loan default? • Will a deal close? Tools: Decision trees & Random Forests. Successful predictions provide the "why." It's magical. Use Python in Excel to get started. Level 5: Mindset Are you already good at Excel?  You’re closer than you think. Steps 1 & 2?  You’ve probably got that down. Time to step up into 3 & 4. Remember - it isn't a leap. It's just the next rung on the ladder.

🚀 My Journey from Excel to Power BI in Professional Football: Post 3- Rolling out a Club-Wide Solution 🚀 📊 The Science Behind the Game: Our Data-Driven Approach with Power BI 📊 Exploring the different applications of sports science, we've harnessed the power of Power BI to elevate our analytical capabilities. Here’s a breakdown of our systematic implementation: 🔢 🔵 1️⃣  Starting with Stability: U18 Squad as Our Laboratory: Initiating with the U18s provided a controlled environment for our experimentations with Excel spreadsheets and Power BI dashboards, ensuring reliability and repeatability in our findings. U18 scholars have the most stable squad and training schedule- perfect for innovation! 🛰️ 🔵 2️⃣   From GPS to Goalposts: Translating STATSports GPS and RPE into Performance Metrics: The integration of external training load data via GPS and internal training loads via RPE was meticulously visualised in Power BI, enabling a new depth of analysis and player understanding. 📉 🔵 3️⃣  Correlating CMJs and Wellness: The Symbiosis of Objective and Subjective Data: By integrating physical performance data from jump tests with subjective wellness assessments, we developed a comprehensive profile of athlete readiness, informing both immediate and strategic decision-making. 🏅 🔵 4️⃣   Elite Academy Insights: Custom Analytics for the B Team: Tailoring our analytical tools for the B Team’s elite environment of the Academy, we ensured that our data insights met the precision demanded at higher tiers of performance. 🌱 🔵 5️⃣  U16 Adaptations: Informing Development with Data: The Power BI platform was not just for the senior teams; we extended our analytics to the U16s, providing age-appropriate insights to nurture their growth within the sport. 🔗 🔵 6️⃣   First Team Integration: A Comprehensive Training Monitoring System: The culmination of our efforts was the implementation of a bespoke Power BI training process monitoring system for the First Team, fostering an environment of continuous improvement and excellence. As we continue to explore the data frontier, we're always on the lookout for fellow sport science professionals to exchange knowledge and advance our field together. 🔍 Keen on delving deeper into the specifics of our Power BI applications in sport science? I’m open for discussions! Keep an eye on our Sport Horizon UK work with Johannes Marthinussen and the online Power BI and Tableau courses we run. #SportScience#PowerBI #Tableau #DataAnalysis #FootballAnalytics #DataVisualisation #PowerBI #DataInformed #ProfessionalDevelopment #BespokeInsights #Soccer #Football #SportHorizonUK

If They Cannot Recall It, They Never Learned It. We have mistaken movement for progress in our classrooms. Every week, teachers across the world march through syllabi with quiet discipline. Slides are prepared. Notes are distributed. Homework is assigned. Units are completed on schedule. From the outside, everything appears to be working. The curriculum moves. The calendar advances. The boxes are ticked. And yet, ask a simple question a week later and something unsettling happens. Much of it has evaporated. This is not a failure of effort. It is a design flaw. Most lesson plans optimise for coverage. They are built around what must be delivered, not what must be remembered. The logic is understandable. Teachers are under pressure to finish chapters, prepare students for assessments, and align with pacing guides that rarely leave room for reflection. In such an environment, speed feels like responsibility. But speed is not the same as learning. Cognitive science has been quietly telling us this for years. Students retain what they retrieve, not what they reread. They remember what they struggle to recall, not what they passively consume. Yet many classrooms still devote the majority of time to explanation and exposure. We move forward before memory has had a chance to consolidate. The result is an illusion of mastery. Students can follow along during the lesson. They can nod at the right moments. They can even perform well on an immediate quiz. But if knowledge cannot be reconstructed days later without prompts, it was never truly integrated. It was only temporarily stored. In an era where information is instantly accessible and artificial intelligence can summarise any concept in seconds, the value of schooling can no longer rest on delivery. If a machine can explain the content, then the teacher’s craft must shift toward designing durable understanding. That requires a structural change in lesson design. Imagine ending every lesson not with a recap slide, but with five minutes of retrieval without notes. Ask students to write down everything they can remember. Let them compare answers. Let them discover the gaps in their own recall. That moment of productive discomfort does more for retention than another polished explanation ever will. It feels slower. It is, in fact, more demanding. But it honours how memory works. Coverage gives us the comfort of completion. Retention gives students the power of recall. If students cannot retrieve what we taught last week, perhaps the issue is not their motivation but our design. What would happen if we planned every lesson with a single guiding question in mind: what must still be remembered next Friday? That shift may change more than any new tool ever will. #TeacherDevelopment #EducationReform #CognitiveScience #AIinEducation #LessonDesign #ProfessionalGrowth #FutureOfLearning #ReflectiveTeaching #thegurucool

Every Zebralearn book is DESIGNED for impact. Over the last few years, the gap between consuming and learning has only widened. And considering how many people are looking for a better way to absorb knowledge, it didn’t make sense for us not to address it. At Zebralearn, we don’t simply publish books, we engineer them to make learning stick. Every book we create follows a structured process that ensures knowledge lasts. No fluff, no filler, only a system designed to make learning effortless. Here’s how it works: 1/ Attention – Gaining Attention → If you’re not hooked, you’re not learning. Every book starts with a strong promise and a problem to solve. Intent is key. 2/ Expectancy – Setting the Objective → Tell learners exactly what they’ll gain upfront. If they don’t know what to expect, they’ll tune out. 3/ Retrieval – Connecting to Prior Knowledge → The brain learns by linking new information to what it already knows. We start by building that bridge. 4/ Selective Perception – Presenting New Information → Context first, new knowledge second. Information sticks better when introduced at the right time. 5/ Semantic Encoding – Guiding Learning → Examples, stories, and real-life connections make ideas memorable. That’s why we integrate them into every book. 6/ Responding – Encouraging Practice → Learning without action fades fast. We design exercises and applications to turn knowledge into skill. 7/ Reinforcement – Giving Feedback → Feedback and repetition make things second nature. We build in mechanisms to reinforce key takeaways. 8/ Retrieval – Testing Knowledge → True learning happens when knowledge is retrievable when needed. If you can’t recall it, you never really learned it. 9/ Generalization and Transfer – Ensuring Retention → The best test of mastery? Teach it to someone else. We structure our books to encourage knowledge transfer. Most content skips these steps. That’s why people forget what they read, hear, or watch. At ZebraLearn, we do things differently, so learning does not happen temporarily. It lasts.

If we’re only training students to follow checklists and memorize procedures, we’re failing to prepare them for the actual demands of clinical care. Real-world healthcare doesn’t happen in perfect steps. It unfolds through uncertainty, judgment calls, missed cues, and split-second decisions. That kind of thinking can’t be taught through slides. It has to be lived through mistakes—early, safely, and often. We need to give learners the opportunity to struggle in simulations where lives aren't at stake. Let them mess up. Let them come into class and say, “I almost killed that patient four times.” That moment of vulnerability is gold. It tells us they’re finally moving past surface-level confidence and into real clinical thinking. It means they’re starting to ask, not just how to draw a syringe, but why they’re doing it in the first place. What symptoms led them there? Did they listen to the patient or just follow a protocol? Did they ask the right questions or ignore the clues? Here’s what today’s healthcare training must start doing: ➡︎ Create learning spaces where failure is encouraged, not punished ➡︎ Teach students to make decisions based on context, not just checklists ➡︎ Replace routine questions with scenario-based inquiry and clinical reasoning ➡︎ Guide students to explore the "why" behind every action they take ➡︎ Focus on communication and judgment, not just tools and technique Because here’s the truth: every hospital has different tools, different pumps, different setups. What doesn’t change is the clinician’s ability to think, adapt, and communicate clearly. If we want to build a healthcare workforce that performs under pressure, we have to design education that prioritizes thought over task and curiosity over compliance. That starts with allowing failure in the classroom, so students can learn how to truly care for patients in the field. VRpatients #PhysioLogicAI #nursing #nurse #simulation #VR #MR #XR #AI #Workforce #WorkforceDevelopment #WorkforceReady #AlliedHealth

I’ve spent over two decades on both sides of healthcare training, first as a trauma nurse, then as someone who consulted on simulation lab design, launched top-selling simulators, and drove immersive tech adoption across hospitals, colleges and universities. One truth hasn’t changed: when the workforce isn’t ready, patients pay the price. Traditional training models are stretched to their breaking point. Faculty shortages, limited lab space, and rising costs make scaling competency-based education nearly impossible. We can’t keep throwing task trainers, manikins and travel budgets at a problem that demands a smarter solution. That’s where VR changes everything. With platforms like VRpatients, learners can practice anywhere, anytime, failing safely, mastering skills faster, and proving competency with hard data. Nursing programs are already seeing real results. Students at universities are practicing on custom-built VR simulations that prepare them for the NCLEX, all while reducing training costs. Upskilling the healthcare workforce isn’t optional anymore. It’s mission-critical.. The future of clinical readiness belongs to institutions that embrace immersive, scalable, evidence‑based training.And that future is already here. #HealthcareTraining #WorkforceUpskilling #VRinHealthcare #ImmersiveLearning #ClinicalEducation #XRTraining #FutureOfWorkforce #VRpatients VRpatients #VRpatients

6 𝗛𝗲𝗮𝗹𝘁𝗵𝗰𝗮𝗿𝗲 𝗖𝗮𝘀𝗲 𝗦𝘁𝘂𝗱𝗶𝗲𝘀 𝗶𝗻 𝗘𝘅𝘁𝗲𝗻𝗱𝗲𝗱 𝗥𝗲𝗮𝗹𝗶𝘁𝘆: 𝗥𝗲𝗮𝗹 𝗜𝗺𝗽𝗮𝗰𝘁, 𝗥𝗲𝗮𝗹 𝗥𝗲𝘀𝘂𝗹𝘁𝘀 Want proof that #VR, #MR, and #AI are transforming education and training? Here’s how global organisations are creating measurable impact with extended reality: 1️⃣ 𝗣𝘂𝗿𝗱𝘂𝗲 𝗚𝗹𝗼𝗯𝗮𝗹 (𝗡𝘂𝗿𝘀𝗶𝗻𝗴 𝗘𝗱𝘂𝗰𝗮𝘁𝗶𝗼𝗻) ✦ 𝗖𝗵𝗮𝗹𝗹𝗲𝗻𝗴𝗲: Addressing nursing shortages and training working adults. ✦ 𝗦𝗼𝗹𝘂𝘁𝗶𝗼𝗻: VR training with Meta Quest for clinical and soft skills, in partnership with PCS Spark and Oxford Medical Simulation. ✅ 𝗥𝗲𝘀𝘂𝗹𝘁: 10–15% increase in national nursing exam pass rates. 4,000+ nurses trained. Marked improvements in student confidence and real-world preparedness. 2️⃣ 𝗨𝗻𝗶𝘃𝗲𝗿𝘀𝗶𝘁𝘆 𝗼𝗳 𝗚𝗹𝗮𝘀𝗴𝗼𝘄 ✦ 𝗖𝗵𝗮𝗹𝗹𝗲𝗻𝗴𝗲: Physical constraints in teaching 3D subjects and remote learning accessibility. ✦ 𝗦𝗼𝗹𝘂𝘁𝗶𝗼𝗻: Mixed reality lab with Meta Quest headsets and 12 custom MR apps, developed with Edify. VR labs created in partnership with leading immersive tech companies, allowing teachers to lead 3D classes remotely. ✅ 𝗥𝗲𝘀𝘂𝗹𝘁: Thousands of students taught per semester. £3.7M UK government investment. Recognized in The Times Higher Education Awards 2021. Students reported increased confidence and deeper understanding of material, even in remote settings. 3️⃣ 𝗡𝗬𝗨 𝗖𝗼𝗹𝗹𝗲𝗴𝗲 𝗼𝗳 𝗗𝗲𝗻𝘁𝗶𝘀𝘁𝗿𝘆 ✦ 𝗖𝗵𝗮𝗹𝗹𝗲𝗻𝗴𝗲: Risky, limited traditional anesthetic training. ✦ 𝗦𝗼𝗹𝘂𝘁𝗶𝗼𝗻: VR simulation for oral anesthesia using Meta Quest. ✅ 𝗥𝗲𝘀𝘂𝗹𝘁: 1,200+ dental students trained. Greater student confidence. VR program licensed to other schools. 4️⃣ 𝗜𝗻𝘀𝗽𝗶𝗿𝗲𝗱 𝗘𝗱𝘂𝗰𝗮𝘁𝗶𝗼𝗻 𝗚𝗿𝗼𝘂𝗽 ✦ 𝗖𝗵𝗮𝗹𝗹𝗲𝗻𝗴𝗲: Making science practical for online and in-person learners. ✦ 𝗦𝗼𝗹𝘂𝘁𝗶𝗼𝗻: Mixed reality classes with Meta Quest, immersive views, and AI avatars. ✅ 𝗥𝗲𝘀𝘂𝗹𝘁: 100% of teachers reported improved student confidence. 85% improvement in content recall. 94% of students learned better in VR. 5️⃣ 𝗖𝗲𝗻𝘁𝗿𝗲 𝗳𝗼𝗿 𝗛𝗲𝗮𝗹𝘁𝗵𝗰𝗮𝗿𝗲 𝗜𝗻𝗻𝗼𝘃𝗮𝘁𝗶𝗼𝗻 (𝗧𝗮𝗻 𝗧𝗼𝗰𝗸 𝗦𝗲𝗻𝗴 𝗛𝗼𝘀𝗽𝗶𝘁𝗮𝗹) ✦ 𝗖𝗵𝗮𝗹𝗹𝗲𝗻𝗴𝗲: Training efficiency and safety in healthcare settings. ✦ 𝗦𝗼𝗹𝘂𝘁𝗶𝗼𝗻: VR modules for Lean principles with Meta Quest 2. ✅ 𝗥𝗲𝘀𝘂𝗹𝘁: 100% of participants said VR deepened their understanding. Plans to expand VR training hospital-wide. 6️⃣ 𝗩𝗲𝗵𝗶𝗰𝗹𝗲𝘀 𝗳𝗼𝗿 𝗖𝗵𝗮𝗻𝗴𝗲 ✦ 𝗖𝗵𝗮𝗹𝗹𝗲𝗻𝗴𝗲: Scaling auto-mechanic training for formerly incarcerated people. ✦ 𝗦𝗼𝗹𝘂𝘁𝗶𝗼𝗻: VR training with Meta Quest 2 and the EMPACT Immersive Training Platform. ✅ 𝗥𝗲𝘀𝘂𝗹𝘁: Early graduates securing jobs quickly. Reduced recidivism rates. Major potential for broader socio-economic impact. #ExtendedReality #MetaForWork #EdTech #VRTraining #MixedReality #Impact