Workforce Development Programs

Louder for the people at the back 🎤 Many organisations today seem to have shifted from being institutions that develop great talent to those that primarily seek ready-made talent. This trend overlooks the immense value of individuals who, despite lacking experience, possess a great attitude, commitment, and a team-oriented mindset. These qualities often outweigh the drawbacks of hiring experienced individuals with a fixed and toxic mindset. The best organisations attract talent with their best years ahead of them, focusing on potential rather than past achievements. Let’s be clear this is more about mindset and willingness to learn and unlearn as apposed to age. To realise the incredible potential return, organisations must commit to creating an environment where continuous development is possible. This requires a multi-faceted approach: 1. Robust Training Programmes: Employers should invest in comprehensive training programmes that equip employees with the necessary skills for their roles. This includes on-the-job training, mentorship programmes, online courses, and workshops. 2. Redefining Hiring Criteria: Organisations should revise their hiring criteria to focus more on candidates’ potential and willingness to learn rather than solely on prior experience or formal qualifications. Behavioural interviews, aptitude tests, and probationary periods can help assess a candidate's ability to learn and adapt. 3. Partnerships with Educational Institutions: Companies can collaborate with educational institutions to design curricula that align with industry needs. Apprenticeship programmes, internships, and cooperative education can bridge the gap between academic learning and practical job skills. 4. Lifelong Learning Culture: Encouraging a culture of lifelong learning within organisations is crucial. Employers should provide ongoing education opportunities and support for professional development. This includes continuous skills assessment and access to resources for upskilling and reskilling. 5. Inclusive Recruitment Practices: Employers should implement inclusive recruitment practices that remove biases and barriers. Blind recruitment, diversity quotas, and targeted outreach programmes can help ensure that diverse candidates are given a fair chance. By implementing these measures, organisations can develop a workforce that is adaptable, innovative, and resilient, ensuring sustainable success and growth.

The phrase "crashing out" is rapidly gaining traction, describing a breaking point where employees, overwhelmed and exhausted, impulsively disengage—sometimes even quitting without a backup plan. This trend reflects a deeper crisis of mental fatigue, burnout, and a collective inability to cope with prolonged stress and intense workplace pressures. It’s a symptom that goes beyond simple job dissatisfaction, stemming from a fundamental disconnect between individual needs and organizational support. Research highlights several core reasons behind this phenomenon: employees' quest for progress isn't being met; they feel a loss of control, a misalignment with company values, or simply need to take a critical next step in their lives. Coupled with inadequate communication, poor performance management, and a lack of psychological safety, these factors create environments where stress turns into systemic overload, leading individuals to hit a wall. For HR leaders, this is a critical call to action. To stem the tide of "crashing out" and foster a resilient workforce, consider these essential responses: Prioritize Individual Progress: Understand each employee's unique career quest and provide pathways for skill development, challenge, and advancement. Enhance Communication & Transparency: Establish clear, consistent communication channels, ensuring employees feel informed, heard, and supported. Vague benefit details or unclear performance metrics are no longer acceptable. Revamp Performance Management: Move beyond annual reviews to continuous, supportive feedback that clarifies expectations and helps employees align their work with their goals. Cultivate Psychological Safety: Create an environment where employees feel safe to express vulnerability, set boundaries, and admit when they are not okay, without fear of repercussions. Normalize Rest & Well-being: Actively promote work-life balance and model healthy boundaries. Invest in mental health resources and peer support systems to build a more resilient workforce. Empower Managers: Equip leaders with the tools and training to have ongoing, empathetic conversations about well-being and progress, truly knowing their teams' needs. Addressing "crashing out" isn't just about retention; it's about building a sustainable, human-centric workplace where employees can thrive. https://lnkd.in/eYRGhZ3g #HR #EmployeeWellbeing #Burnout #WorkplaceCulture #HumanResources #FutureOfWork #EmployeeEngagement

Is the future of US mental healthcare at risk? As an author of a book on data and AI's role in mental health, I believe this moment, while alarming, also demands a strategic pivot. When federal funding is under threat, it becomes even more imperative to optimize every dollar spent and ensure interventions are effective. This is where the intelligent application of data and AI becomes critical. We must evolve from a reactive "more services" model to a data-driven, precision mental health strategy. This is especially true within the workplace, where individuals spend a significant portion of their lives and where mental health directly impacts productivity and retention. Here's how: 1. Precision Targeting/Needs Assessment: Instead of broad programs, AI and advanced analytics can pinpoint specific workforce segments experiencing elevated mental health risks or particular types of distress. My experience in F100 companies has consistently shown that understanding the specific 'why' behind workplace mental health challenges through data is crucial for effective program design. 2. Evaluating Program Effectiveness: Many mental health programs, while well-intentioned, often lack rigorous, data-driven evaluation. Leveraging AI and analytics allows us to measure the actual impact of various interventions (including manager training) on employee well-being and productivity. 3. Proactive Workforce Support: Data from HR and other systems, aggregated and anonymized, can identify early indicators of burnout or stress. This empowers companies to implement proactive interventions before employees reach a critical state, fostering a culture of preventative well-being and resilience rather than merely reacting to problems. These proposed funding changes are undoubtedly significant. However, they also serve as a stark reminder that innovation is paramount. By strategically embracing data and AI, we can move beyond simply reacting to budget constraints and instead build more resilient, efficient, and equitable mental health support systems, ensuring our workforce remains healthy, productive, and equipped to navigate the future. Ps. Check out "The Inclusion Equation: Leveraging Data & AI For Organizational Diversity and Well-being" for more details: https://lnkd.in/eXJyjMhT Data With Serena™️

Have you seen the newly released U.S. Department of Labor AI framework for workforce development? In my latest article, I took a moment to break the new policy down into bite-sized points and included source links to save you some time. It's easy to overlook federal AI guidance, especially when the pace of AI innovation surpasses the pace of general AI understanding. But if you care about workforce modernization, artificial intelligence policy, or long-term business growth, this one deserves your attention. Last week, the U.S. Department of Labor issued Training and Employment Guidance Notice 07-25 outlining how AI should be integrated into federally funded workforce systems. This is not a theoretical conversation anymore. The World Economic Forum reports that 44 percent of core job skills are expected to change within five years. McKinsey & Company’s 2025 State of AI survey shows that 65 percent of organizations are already using generative AI in at least one function. When employer operations shift, workforce systems must follow. Here is what this federal AI framework signals for leaders: 🔹 Workforce modernization is moving from digitization to intelligence. Labor market analysis, job matching, and service delivery are expected to integrate AI with oversight. 🔹 Governance is not optional. Transparency, documentation, and compliance are embedded in the guidance. 🔹 Public and private sectors are converging. Agencies will look for partners who understand both AI capability and regulatory expectations. If you operate in education, workforce development, HR tech, national economic strategy, or business growth and modernization, this affects you. The most strategic leaders I know do not wait for headlines to force adjustment. They study policy signals early and position accordingly. How is your organization preparing for AI integration inside public workforce systems? If this perspective is useful, let's connect ~Dr. Kiesha King and subscribe to my newsletter for more on education strategy, AI workforce modernization, leadership and sustainable business growth. Disclaimer: All views are my own and do not represent the views of my employer or any affiliated organization.

Last night, I spent a couple of hours reviewing aggregate data from the numerous workplace dynamics assessments we’ve conducted over the past 12 months. Don’t get me wrong, I do other things in my spare time... But last night, I felt compelled to look for patterns in the psychosocial risks that are undermining retention, engagement, and performance. And guess what? A clear pattern emerged. Our data shows that job demands, excessive workload, and emotional exhaustion are among the most consistent psychosocial risks impacting performance. This isn’t just anecdotal; it’s systemic. Here’s the thing: emotional exhaustion isn’t a character flaw or a sign of weakness. It’s a warning light that tells us something isn’t working. When these psychosocial risks go unmanaged, the cost isn’t just absenteeism or turnover. It’s disengagement, silos, poor decision-making, and missed potential. As part of the control measures we recommend after identifying these risks, we stress that if we want to lead businesses where people thrive, we must design conversations that reach the heart of wellbeing; early, openly, and often. One practical tool we encourage is the Wellbeing Conversation Guide. How does it work? Use it in your 1:1s, team reflections, or even performance reviews. Start with: Ask: – What makes you feel stressed or drained? – What’s important to you outside of work? – Are there any areas of your life I can support you in protecting? These aren’t fluffy questions; they’re strategic. They help surface risks before they escalate into problems, and build trust before it’s too late. Try this out, and you’ll see the impact for yourself.

✨Micro-Stressors: The Silent Strain on Leadership & Teams✨ It’s often not the big crises but the small, repeated micro-stressors — last-minute meeting invites, unclear handovers, or unspoken tensions — that quietly drain teams. These micro-stressors ripple into people’s personal lives too, impacting sleep, family time, and mental well-being long after office hours. As a coach, I see leaders making real impact when they actively: ✅ Audit daily workflows to spot and remove small friction points (e.g., redundant approvals, poorly timed meetings). ✅ Set clear ‘switch-off’ norms so messages or requests don’t spill into personal time. ✅ Model transparency by openly sharing when something causes you stress — this normalizes conversation and builds trust. ✅ Invest in brief, focused check-ins (not just status meetings) to surface and resolve tensions early. Small, deliberate changes like these help stop micro-stressors from becoming macro problems — and create teams that thrive both at work and beyond. Increment-US #Leadership #Coaching #Leadershipdevelopment #MicroStressors #TeamEffectiveness

Six months ago, a fast-growing service business was drowning in templated HR. Their outsourced HR provider had one answer for everything: "Here's our standard process." New starter struggling? Here's the template onboarding checklist. Performance issues? Here's the standard performance review form. High turnover during rapid growth? Here's our generic retention strategy. Sound familiar? The problem wasn't that they didn't have HR systems. The problem was their HR systems didn't have them. Here's what we did differently: Instead of handing over another template, we listened. We audited how their business actually worked. We surveyed their people about what they really needed. Then we built HR that fit their reality: • Recruitment processes that attracted the right people, not just people • Interview frameworks that revealed cultural fit, not just skills • Performance and career growth pathways that made sense for their industry and pace The result? They're now confidently scaling through their fastest growth period yet. The lesson? Your people don't need more policies. They need the right support. Your managers don't need thicker handbooks. They need practical tools that actually work. Your business doesn't need template solutions. It needs HR that grows with you. If your HR feels like it was designed for someone else's business, let's talk.

Imagine calling training a success when no one uses it on the job. Have you? Most people do not fail the training. They fail to apply it. About 85% of training never gets used on the job. Not because the content was bad. Not because the learner was not engaged. Because learning and doing are two very different things. We have built entire Learning & Development systems around consumption. Videos. Workshops. Courses. Certifications. But knowing something is not the same as doing it. The real gap is not knowledge. It is transfer. Here are 5 ways to actually close it. 1️⃣ Replace content with reps: Stop adding more modules. Build in deliberate practice. Repetition under real conditions is what creates retention. 2️⃣ Make managers part of the design: If a manager does not reinforce it, it dies. Loop them in before the training, not after. 3️⃣ Create accountability structures: Peer check-ins. Follow-up commitments. Application goals. Without accountability, good intentions evaporate. 4️⃣ Shrink the time between learning and doing: The longer the gap, the more fades. Give learners a chance to apply within 48 hours of any session. 5️⃣ Measure behavior, not completion: Finishing a course proves nothing. What changed on the job? That is the only number worth tracking. Active learning feels productive. Active practice is what actually changes performance. Your learners do not need more content. They need more reps. AI makes this matter even more. When information is everywhere and content is easier than ever to generate, the real advantage is not access to knowledge. It is the ability to apply it. Statistic source: The Institute for Transfer Effectiveness ——— ✦ ——— More on AI for Workforce Transformation → Janet Perez