Employee Training Roadmaps

Most people are taught how to be high performers. But too few are taught how to perform in a team. And that’s a problem, because in most roles, you’re not an individual contributor. You’re part of a larger entity, working with others to build something. Yet, I see founders spend hours refining their product or systems,  But don't devote time to team development. At HomeServe, I approached team performance with purpose,  And it was one of the best decisions I made. Here are 7 tools I’ve used (and still use) to build high-performing teams,  Based on real lessons from building a £4.1bn business: 1️⃣ Start With Why (Simon Sinek) ↳ Before you focus on what or how...get clear on why. WHAT – The product you sell or the service you provide HOW – What makes you different WHY – Your deeper purpose or belief Every great team needs a reason to get out of bed in the morning. 2️⃣ The 70-20-10 Rule (McCall, Lombardo & Eichinger) ↳ How people actually learn on the job: 70% from challenging experiences 20% from coaching and mentoring 10% from formal training Most teams over-invest in training, and under-invest in real development. I'm amazed at how few founders or CEOs have a coach or mentor. 3️⃣ The Trust Triangle (Frances Frei, Harvard) ↳ Trust isn’t built with perks. It’s earned in three ways: Authenticity – Are you real? Logic – Do your decisions make sense? Empathy – Do you care? Without trust, you can’t build speed or loyalty. 4️⃣ The 5 Stages of Team Development (Tuckman Model) 1. Forming – Team gets together 2. Storming – Conflicts surface 3. Norming – Ground rules form 4. Performing – Results roll in 5. Adjourning – Project ends or evolves Don't panic during ‘storming’. It’s necessary friction. 5️⃣ The Johari Window (Luft & Ingham) ↳ Self-awareness is a team sport. Open – You know, they know Hidden – You know, they don’t Blind Spot – They know, you don’t Unknown – No one knows (yet) This helps surface feedback, build confidence, and avoid surprises. 6️⃣ The Energy/Impact Matrix (Inspired by McKinsey) ↳ Map every team member’s impact vs. energy. Use it to: Make smart hiring/firing decisions Spot burnout early Retain high performers High-performing teams don’t tolerate drift. 7️⃣ The RAPID Decision-Making Model (Bain & Company) ↳ High-performing teams make fast, clear decisions. Recommend – Suggest the course of action Agree – Those who must sign off Perform – Executes the decision Input – Provides relevant facts or opinions Decide – Final decision-maker This clears up delays, dropped balls, and blame. Building a great team is about building an environment where talent can actually thrive. I go deeper into team-building in my new book. Order it today: https://lnkd.in/eRYDKXdT ♻️ Repost if you believe team performance should be built, not assumed. And for more on how I scaled teams to build a £4.1bn business, Follow me Richard Harpin.

I rebuilt the 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘀𝘁 Roadmap for 𝟮𝟬𝟮𝟲! It shows you what to learn before getting hired, how to get hired, and how to grow after you’re in the role from Junior Data Analyst to Senior and Lead. The 𝘃𝗶𝗱𝗲𝗼 is live, and the 𝗳𝘂𝗹𝗹 𝗿𝗼𝗮𝗱𝗺𝗮𝗽 is available as a Notion template. #𝟬 𝗘𝘅𝗽𝗹𝗼𝗿𝗮𝘁𝗶𝗼𝗻 • Understand the Data Analyst role • Compare data roles • Make a clear career decision #𝟭 𝗖𝗼𝗿𝗲 𝗧𝗲𝗰𝗵𝗻𝗶𝗰𝗮𝗹 𝗦𝗸𝗶𝗹𝗹𝘀 • Data & analytics terminology • SQL • Power BI or Tableau • EDA project • Dashboard project #𝟮 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 𝗦𝗸𝗶𝗹𝗹𝘀 • Statistics (focus on interpretation) • Communication and storytelling • Analytical thinking and problem solving • Data modeling and metrics design #𝟯 𝗦𝘁𝗮𝗻𝗱 𝗢𝘂𝘁 • Python for analytics (Pandas, NumPy, Plotly) • Databricks for data analytics • AI prompt engineering • AI models at a high level #𝟰 𝗚𝗲𝘁 𝗛𝗶𝗿𝗲𝗱 • Build a clean portfolio • Improve and learn from projects • Optimize LinkedIn profile • Build a focused resume • Start applying for jobs • Optional certification #𝟱 𝗝𝘂𝗻𝗶𝗼𝗿 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘀𝘁 • Understand the business and stakeholders • Explore and understand data (EDA) • Maintain and improve existing reports • Build domain knowledge #𝟲 𝗦𝗲𝗻𝗶𝗼𝗿 / 𝗟𝗲𝗮𝗱 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘀𝘁 • Advanced data modeling • Mentor juniors and review work • Think beyond tasks and focus on impact • System-level analytics architecture

Free DSA Resources I Used to Prepare for Top Tech Roles (2026) If you want to land good tech jobs, don’t waste time on random tutorials. You need a clear roadmap. Here’s what helped me the most: YouTube Playlists (Learn and Understand) ✅ Striver A2Z DSA (Raj Vikramaditya ) – From arrays to graphs, very beginner-friendly. ✅ Vivek Gupta – DP Workshop – Learn advanced dynamic programming step by step. ✅ Aditya Verma – DP Playlist – Good for starting DP, shows how recursion becomes DP. Deep Understanding ✅ CP-Algorithms – Learn how things really work, like trees and graphs. ✅ USACO Guide – Structured path from beginner to advanced problems. Practice That Prepares You ✅ LeetCode – Practice interview-style questions and contests. ✅ AtCoder DP Contest – 26 focused DP problems with clear solutions. ✅ CSES Problem Set – 100+ problems on graphs, trees, DP, and bitmasking. ✅ CodeForces – Compete, think fast, and improve problem-solving under pressure. No shortcuts, just: ✅ Right resources ✅ Regular practice ✅ Strong fundamentals Save this post and start building your skills today! PC: NamasteDev.com Happy Coding ✌🏻 #sde #leetcode #cp #resources #consistency #connections #networking LinkedIn LinkedIn News

If I had to start DSA all over again from scratch… here’s exactly what I’d do. 1) Pick a Language (and stick to it) I chose C++ because it’s fast, widely used in competitive programming. If you already know Java or Python, that’s fine too. The important part? Don’t keep switching languages. But I will recommend c++ 2) Start with simple problems Begin with arrays, strings, and basic maths problems. The goal here is to get comfortable with problem statements, not to solve the hardest problems on day 1. Try platforms like HackerRank, or LeetCode Easy section. 3) Move topic by topic One topic at a time. My flow was- Arrays → Strings → Recursion → Linked List → Stack & Queue → Trees → Graphs → Dynamic Programming. Don’t jump randomly, it kills consistency. 4)Striver’s DSA Sheet ( I followed) When you’re done with basics, start Striver’s DSA Sheet and try to solve it in order. It’s a mix of easy, medium, and hard problems that cover almost everything for placements. If you get stuck, watch editorials and solutions written by other coders but don’t copy-paste without understanding. 5) Watch this video once -Fastest Way to Learn Data Structure and Algorithm by Sahil & Sara on YouTube. Trust me it’s a game changer 6) Consistency > Motivation Even 1 hour a day is better than a random 5-hour in one day in whole week. Trust me don’t give gaps. If you want the exact resources I followed (roadmaps, YouTube playlists, and my notes), drop your email in the comments, I’ll share them with you. You just need to start… and then keep going. From arrays to DP, one problem at a time

Great managers aren't more talented than you. They're running a system you haven't built yet. After working with thousands of leaders,  I'm convinced management isn't a gift. It's a set of learnable skills. And those skills combine into a system.   Here's the blueprint for you to copy: 1. Self-Awareness (the foundation) ↳ Know your mindset, abilities, and blind spots. ↳ Supplement your struggles, amplify your advantages. ↳ Write your personal operating manual so your team can work with you. 2. Clear Expectations (alignment) ↳ Co-author them with your team. Don't dictate. ↳ Define both the what and the how. ↳ Document what "exceeding" looks like, and recalibrate quarterly. 3. Thoughtful Delegation (leverage) ↳ Transfer ownership, not just tasks. ↳ Match the right work to the right person. ↳ Resist the urge to rescue the moment it gets hard. 4. Deliberate Development (growth) ↳ Coach strengths over weaknesses. Roughly 70/30. ↳ Give everyone a simple 3-bullet growth plan. ↳ Deliver feedback the same day you see it. 5. Systems (reliability) ↳ Run the minimum viable cadence of meetings. ↳ Build dashboards that surface the metrics that matter. ↳ Design processes that make success the default. 6. Diagnosing Problems (compounding) ↳ Find the real bottleneck, not the loudest symptom. ↳ Ask "why" five times to reach the root cause. ↳ Fix the system, not just the person. 7. Relentless Recruiting (talent) ↳ Build your pipeline before you need it. ↳ Test capability with work samples, not just interviews. ↳ Hire for character, not just credentials. Here's the part that matters. None of this is exotic.  None of it requires permission. You could start today. But most managers won't.  They'll keep relying on instinct and hope. The ones who build the system don't get lucky. They become leaders worth following. Want AI to help you run this whole system? Join our MGMT Second Brain workshop. Build your own AI Chief of Staff in under 3 hours: https://lnkd.in/g2KWwRtX Join us Sept 10th @ 11 AM ET. ♻️ Share with a manager ready to build the system. 🔔 Follow Dave Kline for more on becoming a leader worth following.

One of the single most important issues in coming years is job transitions. This fascinating research examines not just job adjacency and required skill development for transition, but also bridging, directionality in job migration, and more. Insights include: 📊 The Power of Real-Time Skills Data. Analyzing real-time job posting data provides much more current and granular insights into labor market dynamics compared to traditional occupational classifications and surveys. This is especially valauble during rapid shifts like COVID-19. 🎯 Skills Space Method's High Accuracy. The "Skills Space" method for measuring similarity between skill sets, shown in the diagram, achieved 76% accuracy in predicting actual job transitions. This is impressive for such a complex prediction task and suggests the method captures something fundamental about how people actually move between jobs. 🔄 The Asymmetry of Career Paths. Job transitions are fundamentally asymmetric - it's often much easier to move in one direction between jobs than the other. For example, it may be relatively easy for a Finance Manager to become an Accounting Clerk, but much harder for an Accounting Clerk to become a Finance Manager. 🌉 The "Bridge" Nature of Transferable Skills. Generalist skills act as "bridges" between specialist skill clusters. This provides important insights for career planning - developing transferable skills makes it easier to move between different specialized domains. 🎓 Pathways to Specialized Roles. The analysis reveals clear skill-based pathways into specialized domains, showing how workers can strategically develop skills to transition into complex roles. For example, a Sheetmetal Trades Worker's skillset shows high similarity to an Industrial Designer role, offering a pathway from a high-automation-risk job to a low-automation-risk specialized position. 🆘 Crisis Response Through Skills Matching. The model helps workers displaced by crises like COVID-19 find new roles by identifying transitions that leverage their existing skills, target growing rather than declining occupations, and focus skill development on high-value gaps. This is valuable research. We need much more in this vein, and for this to be applied at all levels of the economy from national and international policy down do individual education.

Most corporate training follows this pattern: - 3 days of training. - Hundreds of slides. - Polite feedback forms. And almost zero change in behaviour. I once looked at a programme that had: • 16 hours of lectures • 6 hours of discussion • A few “reflection activities” And when people went back to work on Monday? Nothing changed. -Not because the facilitator was bad. -Not because the participants were lazy. -Because the learning design was broken. Here is the uncomfortable truth about training: -People do not learn from listening. -People learn from doing. So I started using a very simple rule when designing workshops. The 3–30–300 Rule. 3 minutes → Explain the business problem 30 minutes → Teach the key skills 300 minutes → Practice in real work That is it. Most programmes invert this. They spend 300 minutes explaining concepts and 3 minutes asking people to apply them. Then everyone wonders why nothing sticks. But the moment you flip the ratio, something powerful happens. -People stop being passive participants. -They start becoming active problem solvers. They practice. They experiment. They make mistakes. They improve. And suddenly learning starts showing up where it matters: At work. So the real question every L&D professional should ask is this: If this training disappears tomorrow, will performance actually drop? If the answer is no, the programme was probably just information. Not learning. I turned this thinking into a simple visual framework. Take a look at the infographic below. And I am curious: How much of your training time is spent on input versus application? Let me know in the comments. ___ Save this for later (three dots, top right). Share with friends → ♻️ Repost. ----- If you need corporate learning support, let me know! ----- For more such ideas/content, follow me: Zubin Rashid ----- #LearningAndDevelopment #TalentDevelopment #CapabilityBuilding #PerformanceImprovement #StrategicLnD #Upskilling #Reskilling #BusinessAlignment #WorkforceTransformation #ContinuousDevelopment #LeadershipGrowth #EmployeeGrowth #LearningStrategy #SkillsDevelopment #HRStrategy #OrganizationalAgility

𝐑𝐨𝐚𝐝𝐦𝐚𝐩 𝐓𝐡𝐚𝐭 𝐈 𝐅𝐨𝐥𝐥𝐨𝐰𝐞𝐝 𝐟𝐨𝐫 𝐂𝐫𝐚𝐜𝐤𝐢𝐧𝐠 𝐆𝐨𝐨𝐠𝐥𝐞 𝐚𝐧𝐝 𝐀𝐦𝐚𝐳𝐨𝐧 Mastering DSA was a game-changer in my journey to landing offers from Google and Amazon. It’s not about solving hundreds of problems—what truly matters is understanding patterns and solving the right set of problems efficiently while learning from each problem. 1️⃣ Arrays, Intervals, Two Pointers - Merge Intervals - Two Sum 2️⃣ Binary Search, Linked List - Koko Eating Bananas - Search in Rotated Sorted Array - Detect a Cycle in Linked List 3️⃣ Stack, Queues, Sliding Window - Trapping Rainwater - Sliding Window Maximum 4️⃣ Backtracking, Trees - Sudoku Solver - Binary Tree Maximum Path Sum 5️⃣ Heaps, Graphs - Top K Frequent Elements - Course Schedule II - Pacific Atlantic Water Flow - Cheapest Flights Within K Stops - Min Cost to Connect All Points 6️⃣ Greedy Algorithms, Dynamic Programming - Gas Station - Coin Change - Word Break - Edit Distance Don’t focus on quantity—focus on understanding why a solution works and how it connects to similar problems. Recognizing patterns is the key to mastering DSA. Of course, sometimes we do need more practice to get better. The key is to identify what works best for you—some may need more practice, while others improve by focusing on fewer problems but solving them deeply. #Google #Amazon #FAANG #DSA #CodingInterviews #TechCareers #ProblemSolving #Roadmap

Confused About HR Career Paths? Let’s Simplify It! Whether you're just starting or dreaming of leading an entire department—HR offers a wide range of growth opportunities. Here's a clear roadmap of how HR roles evolve at each stage: 1. HR Intern / Trainee 🔹 Assists in scheduling interviews, posting jobs, and updating employee records. 🔹 A learning phase to understand how HR functions. 📌 2. HR Assistant / Executive 🔹 Supports recruitment, onboarding, documentation, and employee queries. 🔹 Manages daily operational HR tasks. 📌 3. HR Officer / Generalist 🔹 Handles full-cycle recruitment, payroll support, and employee engagement. 🔹 Serves as a key link between employees and management. 📌 4. HR Specialist (e.g., Recruitment, Payroll, Training) 🔹 Focuses deeply on one area of HR. 🔹 Builds expertise and drives performance in that niche. 📌 5. Assistant HR Manager / HR Manager 🔹 Leads small HR teams, creates policies, and improves employee relations. 🔹 Balances strategy and daily operations. 📌 6. HR Business Partner (HRBP) 🔹 Aligns HR practices with business objectives. 🔹 Advises leadership using HR data and insight. 📌 7. Head of HR / HR Director 🔹 Sets the vision and direction for the HR department. 🔹 Oversees company-wide HR strategies and policies. 📌 8. Chief Human Resources Officer (CHRO) 🔹 A core part of the executive leadership team. 🔹 Drives cultural transformation and organizational growth from the top.

Stop leading like it's 1995. Modern vs. outdated leadership: Most managers want to "lead modern teams." But no one describes what that actually looks like. It's not a motivational speech or a new app - It's the small choices you make about: ↳How work gets done ↳How people grow ↳How decisions get made. Here are 11 shifts that separate outdated from modern leadership: 1. Performance Reviews ↳Old Style: Sitting down once a year for a formal review ↳New Style: Having short weekly check-ins to ask "What's working? What's stuck?" 2. Healthy Work Pace ↳Old Style: Sending late-night emails and expecting quick replies ↳New Style: Blocking off recharge time and encouraging people to log off 3. Productive Meetings ↳Old Style: Weekly status meetings for every project ↳New Style: Meeting only to decide or unblock 4. Tools and Automation ↳Old Style: Blocking new tools to keep control ↳New Style: Approving safe tools and automating repetitive work 5. Sharing Information ↳Old Style: Keeping updates in private meetings or email chains ↳New Style: Posting decisions and notes in a shared document or channel 6. Developing People ↳Old Style: Giving quick answers when someone brings a problem ↳New Style: Asking "What do you think we should try first?" 7. Everyday Recognition ↳Old Style: Saving praise for annual awards or big launches ↳New Style: Giving frequent, specific recognition in the moment 8. Scaling Leadership ↳Old Style: Requiring every small decision to come through the leader ↳New Style: Creating checklists or playbooks so others can decide without waiting 9. Planning and Strategy ↳Old Style: Writing a detailed annual plan and sticking to it relentlessly ↳New Style: Testing a small pilot, then expanding if it works 10. Hiring Talent ↳Old Style: Choosing candidates from well-known schools or companies ↳New Style: Choosing candidates who show they can learn quickly and adapt 11. Career Growth Paths ↳Old Style: Expecting employees to climb a single ladder ↳New Style: Supporting lateral moves, new skills, and trial roles None of these changes require a new budget or a new title. They just require managers willing to trade control for clarity - And old habits for better systems. Which one of these shifts feels most relevant to you right now? --- ♻️ Share this to help inspire more modern leaders. And follow me George Stern for more leadership content.