Personalized Approaches to Skill Development

This week, I facilitated a manager workshop on how to grow and develop people and teams. One question sparked a great conversation: “How do you develop your people outside of formal programs?” It’s a great question. IMO, one of the highest leverage actions a leader can take is making small, but consistent actions to develop their people. While formal learning experiences absolutely a role, there are far more opportunities for growth outside of structured settings from an hours in the day perspective. Helping leaders recognize and embrace this is a major opportunity. I introduced the idea of Practices of Development (PODs) aka small, intentional activities integrated into everyday work that help employees build skills, flex new muscles, and increase their impact. Here are a few examples we discussed: 🌟 Paired Programming: Borrowed from software engineering, this involves pairing an employee with a peer to take on a new task—helping them ramp up quickly, cross-train, or learn by doing. 🌟 Learning Logs: Have team members track what they’re working on, learning, and questioning to encourage reflection. 🌟 Bullpen Sessions: Bring similar roles together for feedback, idea sharing, and collaborative problem-solving, where everyone both A) shares a deliverable they are working on, and B) gets feedback and suggestions for improvement 🌟 Each 1 Teach 1:  Give everyone a chance to teach one work-related skill or insight to the team. 🌟 I Do, We Do, You Do:Adapted from education, this scaffolding approach lets you model a task, then do it together, then hand it off. A simple and effective way to build confidence and skill. 🌟 Back Pocket Ideas:  During strategy/scoping work sessions, ask employees to submit ideas for initiatives tied to a customer problem or personal interest. Select the strongest ones and incorporate them into their role. These are a few examples that have worked well. If you’ve found creative ways to build development opportunities into your employees day to day work, I’d love to hear what’s worked for you!

Gen Alpha students are learning with AI tutors while your workforce still sits through PowerPoint presentations The learning divide is creating a talent transformation crisis. Today we tracked how AI-powered education is reshaping Gen Alpha and Gen Z, and the implications for CXOs are staggering. The New Learning DNA: → Personalized Learning Paths: Squirrel Ai Learning and ALEKS Corporation adapt to individual learning styles, creating custom curricula for each student ↳ Workforce Impact: Gen Alpha expects hyper-personalized development plans, not generic training modules → Instant AI Feedback: Khan Academy's Khanmigo provides real-time learning adjustments based on student performance ↳ CXO Reality: New hires expect immediate, contextual feedback - traditional annual reviews feel archaic → Virtual Experimentation: AI-powered virtual labs let students run risk-free experiments and simulations ↳ Business Implication: This generation thrives on trial-and-error learning, demanding safe spaces to innovate and fail fast → Micro-Learning Mastery: Students consume knowledge in bite-sized, AI-curated chunks optimized for retention ↳ Leadership Challenge: Long-form training sessions are becoming obsolete as attention spans adapt to micro-content The data is clear - students using AI learning tools show 70% faster skill acquisition and 85% better knowledge retention compared to traditional methods. But here's the kicker: they're entering workforces still operating on industrial-age learning models. Bridging the Learning Gap → Redesign Onboarding for AI-Native Minds: Create interactive, personalized learning journeys that mirror their educational experience → Implement Real-Time Learning Systems: Move from scheduled training to on-demand, AI-supported skill development → Build Experimentation Cultures: Establish safe-to-fail environments that match their virtual lab experiences → Adopt Micro-Learning Architectures: Break complex skills into digestible, immediately applicable modules Gen Alpha and Gen Z aren't just digitally native - they're AI-learning native. The companies that adapt to their learning DNA will capture the best talent. Those that don't will struggle with engagement, retention, and innovation. At PeopleAtom, we're building the future of workforce development where AI meets human potential. If you're a CXO or People Leader ready to transform how your organization learns and grows, join our waitlist to be part of this revolution. Love and generational bridges, Joe #FutureOfWork #GenAlpha #AILearning #WorkforceTransformation #PeopleStrategy

🔶 Designing Talent Development Without Losing the Individual: The Final Cultural Dilemma As we’ve seen throughout this series, organizational culture is not a collection of values — it is the field where values compete for dominance. And the Risk of Culture arises when one value wins… and the other disappears. It is all based on the principle that any value disconnected from its opposite leads to a pathology. If one dominates the other, you run a risk. If they are integrated (not compromised), they lead to innovation. And it is the biggest risk factor ignored by technocrats with spreadsheets. In many organizations, one of the deepest and most unspoken tensions lives inside HR and leadership development: Dilemma #6: “We need to develop our people in professional skills we need as an organization” (Eiffel Tower) 🆚 “We need to motivate our people by giving them the opportunity to grow as individuals” (Incubator) At stake is not just training budgets. This dilemma cuts to the heart of your people philosophy: Is development strategic alignment, or personal discovery? Do we invest to meet our needs, or theirs? Left unresolved, we get cultures where: 🔹 Training is mandatory, uninspiring, and irrelevant — “because HR said so” 🔹 Or development becomes so personalized that organizational capability dissolves into chaos Case: Unilever’s Dual Track Growth Architecture Unilever offers a masterclass in reconciling this dilemma. Facing the need for both leadership succession and retention of next-generation talent, they created a dual-track development model: Strategic Skill Pillars: All employees go through foundational modules linked to company strategy (e.g., sustainability, digital, operational excellence). Self-Navigation Tracks: Employees then curate their own learning journeys via an internal marketplace, choosing mentors, assignments, or learning labs based on who they want to become. The result? Professional relevance and personal meaning. Structured progression with self-directed exploration. How to Reconcile Capability Building and Personal Growth: Define your core skill needs, but don’t stop there. Empower employees to co-create their path, within strategic boundaries. Incentivize self-directed learning that also advances organizational capability. Create “learning zones” where experimentation, failure, and choice are safe. Use the OVP scan to diagnose whether your development culture leans too far toward control or indulgence. The greatest performance cultures are not those that force development… but those that ignite it, because the system aligns what the organization needs with what the individual aspires to. That’s the difference between training and transformation. #TheRiskOfCulture #TalentDevelopment #EiffelTowerVsIncubator #DilemmaReconciliation #OrganizationalLearning #LeadershipDevelopment #CultureDesign #StrategicCapability #EmployeeMotivation #OVP #TransformationCulture #UnileverCase

One-size-fits-all career paths are dead. For decades, companies have clung to rigid career ladders with generic training programs and predictable promotions. But in today's economy, where our workforce spans more generations, backgrounds, and aspirations than ever, why are we still forcing everyone down the same narrow hallway? Personalized career development plans are good for business. Here's why: ➡️ Higher employee engagement (people actually give a damn about their work) ➡️ Lower attrition rates (goodbye expensive turnover) ➡️ Increased productivity (people working in their zone of genius) Yet most organizations still treat career growth like a standardized test instead of the messy, beautiful, individual journey it actually is. In #HumanizingHumanCapital, Dr. Solange Charas and I push for a fundamental mindset shift: careers should bend to fit employees, not the other way around. Here's how to actually build personalized progression that works: 1️⃣ Demolish the time-based barriers. "Put in X years to earn Y title" is dinosaur thinking. Let employees move up, sideways, pause, or create entirely new paths based on skills and interests. The org chart should be a suggestion, not a prison. 2️⃣ Use people analytics to understand what makes each employee tick. Use technology to map potential career paths by matching actual humans with growth opportunities based on their unique skills and aspirations - not just filling boxes on an org chart. 3️⃣ Ditch the annual performance review with vague "growth goals." Replace it with regular conversations centered on three simple questions: Where do you want to go? What do you need to get there? How can we help? Then actually listen to the answers. The hard truth? Today's talent doesn't really want a rigid predefined ladder. They want a general outline where they can build their own path. Companies that recognize this shift will develop agile, engaged workforces while everyone else wonders why they can't keep people. Is your organization still handing out identical career maps to unique individuals? If so - what's really stopping you from changing? #CareerDevelopment #EmployeeExperience

Having worked extensively in #AI and #MachineLearning, as well as in #talent development in #industry and #university, I’ve seen two very different approaches to #learning. In machine learning, structured techniques like #ReinforcementLearning and #ModelDistillation allow AI systems to efficiently acquire new skills—learning from experience, refining their abilities through feedback, and transferring #knowledge from complex models to smaller, more efficient ones. In contrast, human learning, especially in the workplace, tends to be far less structured, often relying on informal #mentorship and organic knowledge transfer. As experienced professionals retire from critical roles across industries, we need to rethink how we pass down #expertise in a way that ensures continuity and long-term success. What if we applied AI-inspired learning strategies to professional skill development? Model distillation, for example, can be mirrored in structured mentorship programs where seasoned experts actively document and transfer their knowledge in a systematic way—through curated case studies, decision-making exercises, and hands-on coaching. Similarly, reinforcement learning principles—which rely on continuous feedback and incremental learning—can help organizations design adaptive training environments that give employees real-world challenges with iterative improvement loops. By integrating structured, AI-inspired learning methodologies into workforce development, we can ensure that critical knowledge doesn’t disappear with retiring professionals but instead becomes a lasting foundation for the next generation and the success of enterprises.

Most managers focus on performance once a year. The best managers improve performance daily. After 25 years of managing teams, I've learned, The difference between good and great managers isn't: • Effort • Skill • Tools It's having the right information at the right time. But most people managers work from scattered and stale data: • Random, handwritten notes from 1-on-1s • Performance reviews from 6 months ago • Gut feelings about who's struggling • Occasional frustrated feedback And that's if they can make time to manage at all. Here's where AI comes in. AI won't manage your team.  But it will help you know them. Here's why you need an AI-powered employee dashboard: HIGH-FIDELITY PROFILES | See The Whole Person ↳ Combine resumes, assessments, and feedback into one view ↳ Understand strengths, gaps, and motivations ↳ Predict where they'll thrive and where they'll struggle CONNECTED TO EXPECTATIONS | Align Profile to Performance ↳ Link their capabilities to role requirements ↳ Identify natural fits and development needs ↳ Spot blind spots before they become problems WITH TARGETED DEVELOPMENT | Focus on What Matters Most ↳ Build 90-day plans for 2-3 key capabilities ↳ Adjust based on real data, not assumptions ↳ Track progress with specific milestones INSTANT PATTERN RECOGNITION | Spot What You'd Otherwise Miss ↳ Upload weekly updates, KPIs, and meeting notes ↳ Get early warnings on performance shifts ↳ Let AI identify trends across time PERSONALIZED COACHING | Tailor Your Approach ↳ Get AI-suggested coaching topics for each person ↳ Customize feedback delivery to their profile ↳ Make every 1-on-1 more impactful The AI advantage: It never forgets context.  It spots patterns across months of data.  It grounds your coaching with homework, not guesswork. The 7-step framework: 1. Create high-fidelity employee profiles 2. Connect profiles to role expectations 3. Build targeted development plans 4. Upload ongoing performance data 5. Get AI-suggested coaching 6. Tailor feedback to their profile 7. Track progress and iterate [Get my starter prompts from the carousel below] Better yet: Join our Free Lighting Lesson next week.  And we'll build one together.  In under 30 minutes. November 13th at 1 PM ET: https://lnkd.in/e3h3aRDa A few more tips: • Keep one AI thread per employee for context • Upload data weekly, not just when problems arise • Use AI insights to inform your coaching, not replace it The truth about great management: Most managers react to problems after they happen. Great managers predict and prevent them. Better information leads to better decisions. Better decisions lead to high-performing teams. 📕 Save in case you want to build this out later.  ♻️ Share to help other managers connect with their people. 🔔 Follow Dave Kline for more AI-powered management strategies.

One thing I hear a lot – and it comes up in every engagement survey: "My organisation doesn’t provide any/enough learning and development opportunities." Oooof. 😑 If you’re a People & Culture leader planning 2025, you’ve probably heard it too – and at this point, you might be thinking: "WTAF – we just ran a heap of training over the last 12 months!" 😵 OR "Yep, I know. You had individual learning budgets, and no one used them." 🫠 OR "But we have this LMS thing and no one’s even logged in…" 🙃 Been there. Felt that pain. 💡 So, why does this happen, and how can we set things up differently in 2025? From what I've seen, this feedback often comes from a misalignment between what’s offered and what’s perceived as valuable. The fix? A user-centric approach to learning and development. Here are some things to try this year: 1️⃣ Ask and listen: Run surveys or focus groups now to find out what skills people actually want to build in 2025. Tie it to the values and behaviours you want to see in your team. 2️⃣ Make it visible: If leaders aren’t championing learning, why would their teams prioritise it? Get managers to lead by example - talk about what they’re learning and why it matters, or build it into every 1:1 with: 'What have you learnt in the last fortnight?' 3️⃣ Normalise it: Build learning into everyday habits and workflows (e.g. Team WIPs). Learning should feel like part of the workday, not an extra chore. Regular nudges can make all the difference. 4️⃣ Personalise it: Not everyone learns the same way. Offer flexible options - peer mentoring, coaching, and microlearning like Learna. 5️⃣ Keep it practical: Focus on learning that feels actionable right now. If people can’t use it straight away, it’ll gather dust. 6️⃣ Close the loop: After any program or training, get feedback. Use it to refine and improve what you’re offering throughout the year. Planning ahead can make 2025 the year where learning doesn’t just exist - it resonates, it sticks, and it delivers results. What’s worked well for your teams? What are you looking to do differently this year? #LearningAndDevelopment #2025Planning #PeopleAndCulture #LeadershipDevelopment #EmployeeEngagement #WorkplaceLearning #GrowthCulture #Microlearning #ContinuousImprovement #SoftSkills

Upskilling Strategies: Yesterday we looked at the Upskilling for business success and today we're going to look at customizing learning pathways for your Tech team. In today’s tech landscape, a one-size-fits-all approach to training just doesn’t work. To build a high-performing, future-ready tech team, upskilling programs need to be personalized and role-specific. 🔍 Start by assessing your team’s current skills: Use skills assessments, 360-degree feedback, and project performance reviews to understand the strengths and gaps within your tech teams. 🔑 Tailor learning pathways to meet the needs of specific roles within your organization. A few examples: ·       Cloud Engineers can benefit from certifications and training in platforms like AWS, Microsoft Azure, or Google Cloud. ·       DevOps Teams should focus on tools like Docker, Kubernetes, Jenkins, and CI/CD pipelines to streamline workflows and improve collaboration. ·       Cybersecurity Specialists need continuous learning in threat detection, encryption, and certifications like CISSP or CEH. ·       Software Developers could advance their skills in languages like Python or Java, or explore microservices and API development. 🎯 Personalization matters. When you align learning paths with individual roles and career goals, your team is more engaged and motivated, and the impact of upskilling is much greater. To create a successful upskilling strategy: ·       Set clear development goals based on current and future business needs. ·       Leverage e-learning platforms that offer customizable learning paths and assessments. ·       Encourage mentorship and peer learning to reinforce new skills within the team. ·       Investing in personalized learning paths doesn’t just future-proof your workforce—it drives innovation, improves retention, and keeps your tech teams agile and ready for the challenges ahead. Are your upskilling programs tailored to the unique needs of your tech team? #upskilling #personalizedlearning #techtrends #cloudengineering #DevOps #cybersecurity #continuouslearning #workforcedevelopment

I spent 30 days learning with ChatGPT. No coach. No course. Just me and the AI Here is how to do same 01. Skill Clarity & Goal Setting "You are a world-class learning strategist. Your task is to help me define a clear, motivating learning goal for [insert skill], based on my background: [insert your background, e.g., student, busy professional, etc.], personality: [insert learning style or preference], and outcome: [insert desired result]." 02. Skill Breakdown & Sequence "Act as an expert instructional designer. Break down [insert skill] into essential sub-skills for someone who is [insert experience level]. Use the 80/20 rule to prioritize high-impact areas. Then, organize them in the most effective sequence for fast, sustainable learning." 03. Personalized Learning Roadmap "You are a top learning architect. Build a personalized 12-week roadmap for mastering [insert skill], tailored to someone who learns best through [insert style: visual/audio/dialog/etc.], has [insert time availability], and wants [insert goal, e.g., freelance, job-ready, hobby-level mastery]. Include weekly milestones and resources." 04. Practice & Feedback Design "You are a deliberate practice expert. Design a practice routine for [insert skill] with feedback loops, real-world application, and challenge levels tailored to my current level: [beginner/intermediate]. Ensure it fits into a [insert time commitment, e.g., 1-hour/day] schedule." 05. Progress Tracking & Plateau-Busting "You are a learning progress strategist. Help me build a simple system to track my growth in [insert skill] over [insert duration]. Include weekly check-ins, milestone markers, and a plan to overcome motivation dips or plateaus based on my habits: [insert habit tendencies]." 06. Advanced Mastery & Integration "You are a mastery and creativity coach. I’ve reached an intermediate level in [insert skill]. Create a roadmap to reach advanced levels and apply the skill creatively in [insert career/hobby field]. Include options to teach others or combine with other skills I have." -------------------------- If you want more tips and insights about AI, join - my newsletter that teaches you how to leverage AI 👇https://lnkd.in/edj3CsFu 🔄 REPOST to help others know this. 👉 Follow me Awa K. Penn for more.