E3 Advisory’s Post

"Garbage in, garbage out." Why traditional, quiz-based training produces insights that fall short, and how adaptive learning can provide the meaningful, behavioral data you need to make a real impact. https://lnkd.in/eqgeT9FM

Pushing the Edges of Knowledge “An organization’s ability to learn and translate that learning into action is the ultimate competitive advantage” That Jack Welch’s mantra becomes all the more critical for enterprises immersed in knowledge-driven digital environments. To keep their competitive edge enterprises must turn their organisation and systems into learning architectures ensuring a continuous improvement of individual and collective knowledge; that can be best achieved through ontologies. https://lnkd.in/ePA66mum

In my experience, our industry can turn the most innocuous topics controversial. Today, some hot takes on #examplemapping! Yesterday I wrote about example mapping and some of the tips people gave me. Mostly people agreed on what to do, what to expect, how to go about it. But one topic turned out to be somewhat contentious: how many people, and which people, to invite to the session. Broadly, there seem to be three schools of thought: 1) invite just a few people or it'll get too chaotic 2) invite everyone because it's meant to be a shared learning journey 3) invite everyone, but then break out into smaller groups Of course it's worth asking at this point: who is "everyone"? The seminal article I mentioned yesterday says the following about who should come: 'The bare minimum is your three amigos: a developer, a tester and a product person. That’s just a minimum though. By all means invite your operations, user experience people or whoever else is relevant to the story being discussed. Anyone likely to help you discover new questions, or to turn questions into decisions during the conversation will be useful.' Dermot Canniffe said something similar: 'My rule of thumb for attendees is; those who are directly involved in a given feature and its delivery, plus anyone those people feel would have a valuable input . "3 hats" is a useful guideline to start with but most teams and features have a bit more nuance that that can express.' A video I watched that Dermot had shared with me seemed to suggest not to invite too many people, maybe stick to the 3 hats. And this was similar to the push-back I got from some of my colleagues when I suggested this way of working: "the team is just too big to make something like this work, it's going to be chaos." Stuart Crocker disagreed: "The fear is 'it's too hard to control lots of people' so the solution is 'invite 1 person from each discipline' which means not everyone goes on the journey and massively reduces the value of the exercise." His proposed solution: "Have smaller groups that then share back their own journey and amalgamate the different view points." Interestingly, that's also what Geoffrey Arij van der Tas suggested in the comments yesterday. While I imagine this could work, I also think a lot of the learning is in the mapping itself - if the groups come up with wildly different results, what does that mean for the final result? How do you do it? Who do you invite to your example mapping sessions? Do you do the session as one big group, or do you split the group and use break out rooms? What do you think the pros and cons are of each approach?

DAY 37 OF 100 DAYS OF LEARNING WITH I4G Continuing from yesterday's thoughts on the right and best time, I've realized that #sometimes the best time to start something is when you feel the least prepared. Today again, I challenged myself to take immediate action on a new learning module without waiting for the perfect moment. Here's what I learnt: ♻️Action Breeds Confidence: Taking the first step, even if unsure, builds momentum and boosts confidence. ♻️Embrace Imperfection: Starting when things aren't perfect helps you adapt and learn in real-time. ♻️Overcoming Procrastination: Tackling tasks head-on reduces the anxiety of waiting for the ideal conditions. Let's share our progress! What have you been postponing, and how can you start today? Comment below with your steps to take immediate action. 💪 #DataAnalyst #Ingressive For Good #100daysoflearningwithI4G #I4GDataCamp #TakeAction

I'm excited to share with you guys that today marks the completion of an incredible learning journey (the foundational course) with the #My3MTT program! 🎉 Over the past few weeks, I’ve had the privilege to dive deep into various courses that have not only expanded my knowledge but also equipped me with practical skills to excel in my career. Course Highlights: 1. *Professional soft skills learning pathway* This course covered several top soft skills like effective listening, persuading others, emotional intelligence, unconscious bias, writing in plain language, building resilience, effective communication, embracing unexpected change, critical thinking for good judgement and decision making amongst others. 2. *Career Essentials in generative AI* This course covered top skills like Computer ethics, Artificial intelligence AI and generative AI. 3. *Generative AI productivity skills* This course covered top skills like Artificial intelligence AI for business, Artificial intelligence AI for design and Generative AI. 4. *Career essentials in Data Analysis* This course covered top skills like data analysis, data visualization and data analytics. 5. *Career essentials in Business Analysis* This course covered top skills like Requirements gathering, project management and business analysis. 6. *English for IT 1* This course is the first part of a two-part series that prepares me to take the English for IT B2 / GSE 59-75 certification exam. The course covered three sections which are; Grammer, Listening and Reading. 7. *English for IT 2* This course is the second part of a two-part series that prepares me to take the English for IT B2 / GSE 59-75 certification exam. The course also covered three sections which are; Grammer, Listening and Reading. I want to also extend my heartfelt thanks to @3MTTNigeria for offering such a robust and enriching program. Your dedication to professional development is truly inspiring and has made a significant impact on my career trajectory. As I step forward with these newfound skills and knowledge, I am excited about the opportunities that lie ahead. This journey has been a testament to the power of continuous learning and personal growth. #My3MTT #3MTTLearningJournal @3MTTNigeria

#My3MTT 🎆🎉🎇 #3MTTLearningJournal 🎉It's such an amazing journey so far, and a thing of delight for me to partake in the 3MTT learning program.... I've just concluded the initial stage of my learning journey and I'm so excited to share my experience. Through watching the course videos and reading texts, i have gained lots of basic insights on #Data and Businesses analytics which include data identification, preparation, transformation, modeling and visualization, also business project management and elicitation among many. Part of the foundational courses enlightened my understanding on the basic concept, and how to build productivity skills in Generative AI. I also took the English IT 1&2 courses which improved my English speaking and writing skills and participated in professional development workshop on soft skills. The key Take-aways I obtained from this journey is the discernment on data analysis and generative AI as powerful tools that can be used to solve a wide range of problems. I also assimilate the fact that it is very important to have a strong foundation in English skills and professional soft skills to be successful in the workplace and other aspect of growth. Though, they've been little challenges along the way, such as network and data cost, applying some of the concept in data analysis and Generative AI to real-world problems etc. But I'm looking forward to continue learning about data analysis and visualization (which is my area of specialization), practice implementation and applying the knowledge to real-world problems. #MuchLove3MTT🎇🎆🎉

The future of digital learning is here! Discover the latest trends shaping the landscape in 2024 and beyond, with insights from Robin Wadsworth, CEO of Thought Industries.

Is your training program out of balance? More organizations are realizing people need dedicated time for both deep learning and practical application. The article below by Edmund Monk, Co-Founder and CEO of The LPI (Learning and Performance Institute), speaks to bridging knowledge to practice with a combination of deep learning and performance support. ➡️ Read here https://hubs.la/Q02w7V9m0. By nurturing this blend of robust expertise and just-in-time problem-solving, organizations can build people that are resilient and ready to tackle any challenge. Don’t be the organization that believes, “We provide our people access to knowledge-based, on-demand videos and that’s good enough.” It’s not ... if your goal is to build job-ready employees, customers or partners. #deeplearning

While reading Designing Data-Intensive Applications today, one line really resonated with me: "There is no one-size-fits-all solution for designing scalable systems." It made me reflect on my learning journey and how I’ve approached technology. In the past, I focused too much on the "how" – how a specific tool works, how to apply it, how to combine it with other technologies. It’s how I was taught in school: "Here’s a tool, now solve a problem with it." This approach made me see technology as the problem itself. I believed that learning a new tool or pattern was the key to solving every issue. If I didn’t know the tool, I assumed that was the barrier. As I continue to grow, I realize the real question is not "how," but "why." Why choose this technology over another? Why is this solution best for this problem? Technology is just a tool, and the real skill lies in understanding its context and purpose. I recognize that I’m still early in my journey, but I’m actively working on this mindset shift. As I build projects and gain new skills, I’m reminding myself that it’s not just about learning technology for its own sake—it’s about doing something meaningful with it. Each new tool is an opportunity, not just to understand the "how," but to figure out the "why" and use it to create real value. Day 8/100 #LearningJourney #SoftwareDevelopment #GrowthMindset #ContinuousImprovement #TechReflections #MindsetShift

DAY 55 OF 100 DAYS OF LEARNING WITH I4G As I continue this journey, it's crucial to stay #organized. Here are my goals for the week: #Reviewing past lessons to reinforce my understanding and identify areas that need improvement. #Exploring new topics and expanding my knowledge base. #Applying what I've learned through practical exercises, guided and unguided projects. #DataAnalyst #Ingressive For Good #100daysoflearningwithI4G #I4GDataCamp #Organizeyourweek #Haveplans