Workplace Culture Evolution

This article in MIT Sloan Management Review on hybrid work by Nick Bloom, Prithwiraj Choudhury, and Brian Elliott confirms what we've been documenting for years: This isn't a location problem. It's a leadership capability gap. While too many executives still debate office attendance, their more forward-thinking, innovative competitors build the leadership AND operational capabilities that a high-performance flexible work model--not just "hybrid"--requires. The research and case studies that the article cites get critical points right: ✅ "To date, no peer-reviewed research shows a benefit to a rigid five-day office model." ✅ Synchrony's CEO focusing on measurable results over presence. ✅ Atlassian's teams creating working agreements. ✅ The reality that only 25% of managers of distributed teams get leadership training (and we wonder why they are reporting historically low levels of engagement and burnout!) But this alone doesn't close the capability gap. What I'm seeing in our work with organizations: 👉 Teams need more than permission to create norms. They need facilitation frameworks for making planning and coordination decisions within the context of broader organizational parameters that all levels of leadership have aligned behind. 👉 Managers need consistent protocols, tools and training to guide the conversations about how, when, and where their specific work gets done—not just implement generic policies. This includes defining: → How does work get prioritized and coordinated for your business? → When do teams need to be together in person, and not in person, to achieve specific outcomes? → In what spaces and places (in person and virtual) does different work happen most effectively given your constraints? The article does mention the importance of space redesign and technology but a high-performance flexible work model integrates technology capabilities, and workspace design into the defined parameters as one coordinated way of operating across places, spaces and time. This requires moving: ✅ From debating location to starting with the work and defining how, when and where that work happens best, and ✅ From treating flexibility as policy compliance to building it as strategic capability. The evidence is clear. The business case is proven. Organizations that build these operational and leadership capabilities have a competitive advantage and will outperform those still debating badge swipes. What's the biggest capability gap you're addressing to help your organization achieve high levels of sustainable performance working flexibly? #FutureOfWork #FlexibleWork #RTO #HybridWork #Leadership #WorkplaceStrategy #HighPerformanceFlexibility #ReimagineWork

7 Ways to Upskill Your People: Tell me, and I forget. Show me, and I remember. Involve me, and I understand. In today’s fast-changing world, upskilling isn’t optional—it’s essential. Great leaders focus on developing their team’s skills for the long term. Here are 7 ways to foster continuous learning and upskilling: 1. 𝗖𝗿𝗲𝗮𝘁𝗲 𝗔 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗖𝘂𝗹𝘁𝘂𝗿𝗲 → Encourage curiosity and lifelong learning. → Make learning part of your team’s daily routine. 2. 𝗢𝗳𝗳𝗲𝗿 𝗧𝗮𝗶𝗹𝗼𝗿𝗲𝗱 𝗧𝗿𝗮𝗶𝗻𝗶𝗻𝗴 𝗣𝗹𝗮𝗻𝘀 → Identify skill gaps and align training with individual goals. → Personalization boosts engagement and results. 3. 𝗘𝗺𝗯𝗿𝗮𝗰𝗲 𝗔𝗜 𝗮𝗻𝗱 𝗠𝗶𝗰𝗿𝗼𝗹𝗲𝗮𝗿𝗻𝗶𝗻𝗴 → Use AI-learning platforms like Shiken AI. → Use AI roleplay, quiz generation to upskill your people. 4. 𝗟𝗲𝘁 𝗘𝗺𝗽𝗹𝗼𝘆𝗲𝗲𝘀 𝗧𝗮𝗸𝗲 𝗖𝗵𝗮𝗿𝗴𝗲 → Give them autonomy to choose learning paths. → Ownership fosters accountability and motivation. 5. 𝗖𝗼𝗻𝗻𝗲𝗰𝘁 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝘁𝗼 𝗖𝗮𝗿𝗲𝗲𝗿 𝗚𝗿𝗼𝘄𝘁𝗵 → Show how new skills lead to promotions and opportunities. → People are more likely to invest in learning when they see the payoff. 6. 𝗣𝗿𝗼𝗺𝗼𝘁𝗲 𝗢𝗻-𝘁𝗵𝗲-𝗝𝗼𝗯 𝗧𝗿𝗮𝗶𝗻𝗶𝗻𝗴 → 80% of learning happens through hands-on experience. → Pair employees with mentors or rotate roles to expand their skill sets. 7. 𝗜𝗻𝗰𝗲𝗻𝘁𝗶𝘃𝗶𝘇𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 → Recognize and reward efforts to gain new skills. → Use certifications, bonuses, or public acknowledgment to keep learners motivated. Upskilling isn’t just about staying relevant It’s about empowering your people to thrive. What’s your team doing to stay ahead of the curve? Let me know in the comments below 👇 --- ♻️ Find this helpful? Repost for your network. ➕ Follow Dr Alexander Young for daily insights on productivity, leadership, and AI.

As more companies embrace A/B testing, the bottleneck is no longer running experiments—it’s ensuring those experiments lead to trustworthy decisions. In this tech blog, the data science team at Booking.com explains how they scaled experimentation quality across the organization. Rather than enforcing rigid rules, they chose to preserve team autonomy while building the supporting systems needed to encourage better experimentation practices. The team’s solution followed a simple but thoughtful progression: process, metric, then tool. They first invested in community initiatives like Experiment Ambassadors and peer experiment reviews to build a shared experimentation culture. They then introduced an Experimentation Quality framework that evaluated every experiment across three dimensions—Design, Execution, and Decision—making experimentation quality measurable and easier to improve. Finally, they embedded those standards directly into their internal experimentation platform through features such as quality checks, power-calculation guidance, and stronger defaults that naturally guided teams toward better decisions. The goal was to maintain flexibility while making good experimentation practices easier to follow. This work highlights an important lesson: improving experimentation at scale requires more than statistical knowledge or individual discipline. Sustainable improvement comes from combining strong organizational processes, meaningful quality metrics, and tooling that reinforces good practices into the everyday workflow. When these pieces work together, teams can make more reliable decisions. #DataScience #MachineLearning #Experimentation #ABTesting #Analytics #SystemDesign #SnacksWeeklyonDataScience – – –  Check out the "Snacks Weekly on Data Science" podcast and subscribe, where I explain in more detail the concepts discussed in this and future posts:    -- Spotify: https://lnkd.in/gKgaMvbh   -- Apple Podcast: https://lnkd.in/gFYvfB8V    -- Youtube: https://lnkd.in/gcwPeBmR https://lnkd.in/gg8eX3Yv 

I was watching Made in India – The Titan Story recently. Like most of us, I started watching it for the business story. But one line stopped me cold. "Fail again. Fail better." It landed because, if we're honest, most of us spend a large part of our professional lives trying not to fail. One more review. One more meeting. One more round of analysis. As if certainty is just one iteration away. But very few breakthroughs come with guarantees. Titan entering watches. Startups upending established industries. Athletes rebuilding careers after setbacks. None of them had certainty. What they had was the willingness to try and the environment that allowed them to. That last part matters more than we admit. What struck me about the Titan story wasn't the eventual success. It was the belief embedded in how they worked that people need the freedom to experiment, and sometimes fail, in order to build something meaningful. As leaders, we talk a lot about innovation. But innovation doesn't survive in cultures where failure is career-limiting. If your team needs three rounds of approval before they can test an idea, you haven't built a high-performance culture. You've built a permission culture. The question worth asking isn't "Did we fail?" It's "Are we creating space for people to try?" In a world changing this fast, the bigger risk may not be failure. It may be becoming so afraid of failure that we stop trying altogether. #Failure #Leadership #Learning #Titan #Culture

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

The workplace is quietly undergoing a powerful shift—and Gen Z is at the center of it. Earlier, saying yes quickly was seen as cooperation. Today, Gen Z believes cooperation means understanding before committing. Earlier, the boss was always right. Today, respect also includes the courage to ask questions when something doesn’t add up. Earlier, working late symbolized dedication. Today, dedication is measured by outcomes, impact, and efficiency, not performative hours. Earlier, jobs were about executing orders. Today, work is about adding value, thinking critically, and contributing honestly. This isn’t rebellion. This isn’t entitlement. This is a generation redefining what trust, ownership, and innovation look like at work. The old “yes boss” culture may have kept peace. But the Gen Z mindset is building clarity, accountability, and better decisions. Organizations that listen will evolve. Those that don’t may struggle to retain their future leaders. The question is not whether this shift is right or wrong— The question is: Are we ready to lead it? #GenZ #WorkplaceCulture #Leadership #FutureOfWork #EmployeeEngagement #Innovation

Looking to upskill your employees or enhance your own skills on the job? Maybe the 'Qualifizierungschancengesetz' (long German word 🙈) is for you! The Qualifizierungschancengesetz (Skills Development Opportunities Act) is a German law aimed at promoting lifelong learning by providing financial support for employees to pursue further training.  It allows employers and employees to access subsidies for qualification programs, with funding provided by the Federal Employment Agency. The goal is to address the accelerated transformation of the working world, prevent unemployment caused by structural change, strengthen further training, and secure the skilled labor base. In a nutshell: - Up to 💯coverage of training costs. Companies can have the costs of employee training covered by public funding, up to 100%. The law enables companies to train their employees to remain competitive, but only for certified training programs. - 💰Companies are also supported through wage subsidies. Businesses with up to 50 employees can receive up to 75% of wage costs reimbursed, while those with up to 500 employees can receive up to 50%. Criteria for funding under the QCG: - Skills, knowledge, and abilities are imparted that go beyond exclusively job-related short-term adaptation training. - The acquisition of the vocational qualification for which a training period of at least two years is stipulated by federal or state law was generally at least two years ago (if applicable). - The employee has not taken part in further vocational training subsidized in the two years before submitting the application. - The program or course lasts more than 120 hours.  - The program or course, as well as the provider, must be AZAV-approved. I'll link some resources in the comments 👇 Are you already making use of the Qualifizierungschancengesetz? #upskilling #personaldevelopment #learning

Many CRO/experimentation programmes are an exercise in cycling through random ideas and best practices to see if any move a metric. There is nothing wrong with this per se, and in fact, some very interesting things can come from such accidental finds. But are you really learning anything, or growing and innovating your business strategically? Think about the Apollo moon missions, arguably the greatest of all human achievements. This succeeded not because of some individual experiments on rocket propulsion or anything else, but because of the genius in its systems management and coordinated learning and development. Imagine if they had just told everyone to test a load of ideas and see what happened. True experimentation begins with strategy and theory, and seeks to use experimentation to develop those theories and make bigger strategic decisions and pivots. The example shown is a real example for a retail brand. They wanted to appeal to a younger demographic and did not know how this could be achieved. The chart demonstrates the process of critical thinking that breaks down this challenge, first into strategic hypotheses (that this would be achieved either through changes to product OR to media and targeting) and then into more testable functional hypotheses and then experiments. These experiments are not necessarily A/B tests and run across the whole business. Experimentation is a strategic methodology for innovation and growth, but it requires careful centralised management, coordination and operating systems. Many businesses think they 'tick the box' of experimentation because they have an A/B testing platform and someone in the corner of a marketing team with a login for it. This is not experimentation, and you will not learn or grow with this approach. #experimentation #cro #productmanagement #growth #digitalexperience #experimentationledgrowth #elg #growthexperimentation

One of the conversations I have almost every week goes something like this: "Natalie, I know I should probably do a course or learn something new, but honestly, I just don't have the time." I get it. You're trying to pay the bills, support your family, study, work, get permanent residency, and simply build a life. If you're an international student, you're juggling assignments and part-time work. If you're a parent, you're trying to do all of that whilst keeping little humans alive and remembering what's for dinner. Life happens. And then one day, perhaps 3, 5 or even 10 years later, you realise that you've been so busy surviving that you've stopped investing in yourself. That's one of the reasons I wrote my latest article: 📖 The Future Belongs to People with Skill Diversity, Not Job Titles The article explores: ✔️ Why lifelong learning is becoming essential in a rapidly changing job market ✔️ What Jobs and Skills Australia, the OECD and the World Economic Forum are saying about the future of work ✔️ Why I think migrants already have an advantage when it comes to adaptability ✔️ How to use SEEK job adverts to complete a simple skills gap analysis ✔️ Affordable learning platforms including Coursera, FutureLearn and Alison ✔️ Specific upskilling ideas for: • Accounting and Finance • Engineering • ICT • Data Analytics • Marketing, Creative Arts and Media • HR and People & Culture • Community Services • Health and Aged Care • Teaching and Education ✔️ Why certificates alone aren't enough, and what employers actually want to see ✔️ My advice for building a portfolio that demonstrates your skills, even if you're still studying or trying to break into a new industry I also share how I help clients 🎉 This is one of my big guides that you can save and read later, so save it, read it, grab your afternoon coffee. And please share it with your network so we can all upskill and have skill diversity #linkedinnewsaustralia #skilldiversity #CareerDevelopment #FutureOfWork #SkilledMigrants #ProfessionalDevelopment #MigrantCareers #workinaustralia #australianjobmarket

A 12-week AI upskilling roadmap helped Amazon fill 40% of job openings internally (but most companies ignore it). Everyone panics about the AI skills crisis. The World Economic Forum data tells a different story. Skills obsolescence dropped from 57% during the pandemic to 39% projected for 2025 to 2030. The crisis is no longer accelerating. It is becoming solvable. Amazon demonstrated what a structured approach can achieve through a $1.2 billion upskilling system that delivered measurable outcomes: → 700,000 employees retrained → Apprenticeship graduates earn $21,500 more annually → 40% of internal job openings filled by reskilled employees The models that deliver results are surprisingly simple. 📌 Weeks 1 to 4: Build AI literacy. Focus on prompt engineering basics, master three to five role-specific AI tools, and complete one micro-certification. 📌 Weeks 5 to 8: Apply skills at work. Automate two to three tasks, track time saved, document quality improvements, and share learnings. 📌 Weeks 9 to 12: Build proof. Create one portfolio project, quantify impact, and position yourself for AI-adjacent roles. Technical skills now last 12 to 18 months, while digital skills decay in three. A six-month delay reduces your adaptation window by one-third. This is why the workforce is splitting. Around 48% get redeployed or upskilled. Another 11% are left behind despite employer commitments. Start now! Audit yourself against the top WEF skills such as AI, big data, cybersecurity, critical thinking, and adaptability. A score of zero to three indicates high risk. Select one high-value skill for the next 90 days and choose certifications with proven wage-premium outcomes. What is the one skill you are committed to building?