HR Capacity Planning

What I learned from my entrepreneurs parents and their networks 💡 Some SMBs (Small Medium Businesses) don’t fail because of bad products, they struggle because their people strategy never grows at the same pace as their business ambitions. And in 2026, with talent expectations shifting fast (and job markets in shambles), SMBs can’t afford to treat HR as “admin work” anymore. HR is the growth engine. Also, not all entrepreneurs in SMBs are knowledgeable in HR strategy, planning and executions. So how should an SMB (with founders from non-HR background) design an HR Strategy and turn it into a practical roadmap that actually drives expansion and profit? Let me try to break it down simply. 🔅 Start with the business goals, not HR goals: Before talking about hiring, training, or org charts, ask one question: “What does the business need to achieve in the next 12–24 months?” Examples: Open new markets, Increase profit margin, Improve customer experience, Scale operations without adding too much cost Your HR Strategy should be a direct response to these goals, not a separate document sitting in a dusty folder. 🔅 Identify the “people levers” that will move those goals: Every business goal has a people implication. For example: Expand to new markets --> Build leadership bench, hire faster, strengthen onboarding Increase profit margin --> Upskill teams, redesign roles, improve productivity systems Improve customer experience --> Strengthen culture, reward service excellence, train frontline teams This is where HR becomes strategic; by translating business ambition into human capability. 🔅 Build a simple HR Roadmap with 4 pillars: SMBs don’t need 50 initiatives.. They need clarity. A solid 2026 HR Roadmap usually fits into four pillars: Talent Acquisition & Workforce Planning, Capability & Performance, Organization & Culture, Employee Experience & Retention 🔅 Turn the roadmap into initiatives that are realistic: A roadmap only works if it’s executable. So convert each pillar into 3–5 initiatives max. Example: Talent Acquisition Initiatives: Build a 30‑day hiring SLA, Create a talent pool for critical roles, Launch a structured onboarding program Capability Initiatives: Leadership development for supervisors, Productivity training for frontline teams, Introduce a simple OKR or KPI system 🔅 Measure what matters: SMBs don’t need complex dashboards. They need metrics that show whether the strategy is working. Something like: Time to hire, First‑year turnover, Revenue per employee, Productivity improvements, Leadership readiness, Employee engagement signals 🌟 A clear HR Strategy and Roadmap helps the business scale faster, operate smarter, and grow profitably — without burning people out along the way🌟 To give some takeaways (and my 1st time using Canva for this - Yeayy!), please check this simple carousel below. Hope this post could give more insights for the non-HR peeps building their SMBs. 🌞 #HRStrategy #HRAdvisory #Entrepreneurship

From 75 to 200 Employees: Welcome to Hypergrowth... and the End of Comfort If your startup just hit 75 employees and you're feeling like everything’s starting to wobble… You're not imagining it, You're entering pre-adolescence... and things are about to accelerate fast! You might think you’re still “growing steadily.” But before you know it, your headcount has doubled, and you’re looking at another 100 hires over the next 6 months. Welcome to hypergrowth !!! This is the stage where the real work of scaling begins, and you can feel it in every corner of the business. Like a pre-teen, your organisation has enough maturity to learn quickly, but if you don’t nail the right foundation now, adolescence will hit hard ! What’s happening at this stage? ⚡ Ambiguity, chaos, and stress are now the default ⚡ You’re hiring at speed, but consistency is slipping ⚡ Early employees are struggling to keep up with new expectations ⚡ High performers get frustrated; poor performers disengage ⚡ You need more experts and experienced managers — fast ⚡ Informal systems no longer scale, but formal ones don’t exist yet This is when you shift from startup to structured scale-up. But how you handle this phase will define your company for years. 🔧 𝐖𝐡𝐚𝐭 𝐭𝐨 𝐟𝐨𝐜𝐮𝐬 𝐨𝐧 1️⃣ Build HR capacity You’re not just adding more people, you’re doubling every process. And building HR systems takes time. If you wait, you’ll spend more time cleaning up messes than enabling growth. 2️⃣ Professionalise hiring You no longer need “people who can figure it out.” You need functional experts: QA specialists, customer success, logistics, etc. You need a real talent acquisition engine, not just hustlers! 💡 Your first 200 hires will shape your next 500. Their mindset, their habits, and their expectations will define what "normal" looks like in your culture. 3️⃣ Address performance gaps Some early joiners are now out of their depth. And your top performers are wondering if they still belong. It’s tempting to avoid hard conversations, especially with loyal early employees. But letting underperformance slide while high performers wait for a promotion is how you quietly lose your best people. 4️⃣ Invest in new managers Many early team members are promoted into management without support or experience. They’re overwhelmed, still doing IC work, and struggling to lead. If you haven’t laid the foundation in the previous phase (org design, levels, clear roles) this is where the cracks become painful. 𝐁𝐨𝐭𝐭𝐨𝐦 𝐋𝐢𝐧𝐞: It’s about building the architecture of the organisation you want to scale. At 75 employees, people still listen. You still have the chance to lay the foundation for how work gets done, how people are treated, and what leadership looks like. The decisions you make between 75 and 200 employees will echo through your next 500 hires. Choose them wisely. #ScalingStartups #HyperGrowth #Leadership #FromZeroTo1000 #OrgDesign #FounderJourney

Hello, TA leaders! As we consume our 2025 headcount plans, January officially becomes recruiter capacity model season. It doesn't matter if your team is hiring 50 or 5,000 new employees in 2025, this is an extremely helpful exercise to further understand your team's capability. As I plan with my team for this year, I wanted to provide some helpful tips based on mistakes I've made over the years. I know predicting your team's entire year isn’t the easiest thing to produce so hopefully this will provide some guidance. Tip One: A strong partnership with finance is always the key to being successful in producing a recruiter capacity model. Understand the headcount plan pacing by month, quarter, half and year prior to starting your model. Tip Two: Audit your team's 2024 attainment by month to understand their average pacing. I tend to also view by median given recruiters will have one or two successful months that might skew your model. Be honest with yourself on what each recruiter can attain in 2025 while modeling some stretch in their goals as it's our job to push people for their very best. Pro Tip: Try planning with 10 months of productivity instead of 12. This will eliminate notice period issues if you are trying to meet an in-seat headcount target for the year. Tip Three: Never underestimate the power of attrition. Attrition is sneaky and will ruin your model within the first month or quarter. Secure as much attrition data possible from your finance or P&P partners to prevent this from impacting your model. Pro Tip: Always give yourself a 5% to 10% buffer here. There is no harm in assuming additional attrition when entering the unknown of a new year. Tip Four: Stress test your model. Share your model with peers within and outside of your org to gain additional perspectives. The more eyes on this the better. Pro Tip: Always share with Sales Ops since they live and breathe revenue models for a living. Tip Five: Once your model is complete, you may need additional resources to attain your 2025 targets. When asking for additional resources, always come prepared to answer difficult questions and be structured with your data. Be fair, open, and honest in your asks as budgets are tight while we wait for new rounds of funding and hopefully IPOs in the new year. Pro Tip: Build 1-3 different scenarios with your data. Give decision makers options so they can properly consume your team's capabilities and how it will impact the future growth of your company. Should any of you need additional assistance, please ping me directly for support. We are all in this "war on talent" together. Best of luck planning for 2025. Sincerely, Kirk Okenquist

Today's thorny topic... "HR Forecasting in the age of AI: Are we just guessing now?" This week, I’ve been elbows-deep in spreadsheets and strategy, partnering with Finance and senior leadership to re-forecast headcount for the rest of 2025. ✅ What did we say we needed at the start of the year? ✅ What’s changed (business priorities, org design, reality)? ✅ Where are we headed next? Sounds like standard workforce planning, right? But it got me thinking, and here’s the thing: How are any of us supposed to forecast for 2026 and beyond… when the ground is shifting this fast under our feet? AI and agentic tools are not “coming soon.” They’re here. They’re being piloted, deployed, and in some cases, replacing entry-level roles right now. We're all reading the same headlines, right? 💥 CEOs are telling their people leaders: “Only backfill if AI can’t do the job.” 💥 Entry-level job postings are down in many industries. 💥 Junior talent is being leapfrogged by automation before they even get a foot in the door. So… tell me again how our existing workforce planning models are supposed to keep up? We’ve built these frameworks assuming: - A reasonably predictable rate of growth - A stable-ish org design - Headcount as the primary unit of work That was pre-AI. Now we’re entering a world where: - Work is modular - Tasks can be automated before roles are redefined - Headcount ≠ capacity - Human potential is multiplied, or sidelined, by how we implement tech Here’s the thorny question we should all be asking: Are we forecasting humans, or outcomes? Because if we keep plugging headcount into spreadsheets like nothing has changed, we’re not planning—we’re pretending. Of course, I asked ChatGPT what might a better approach look like? Here's what it suggested (emoji's and all!): 🔄 Task-based forecasting: Break roles into task clusters and assess what’s automatable, augmentable, and still uniquely human. 🧠 AI fluency audits: How ready is your org to use AI? Not just tools—but mindsets, trust, literacy. 👥 Agile capacity planning: Plan for capability not just bodies. How do you scale outcomes, not just teams? 🎯 Redefine productivity: Move beyond hours worked and roles filled. What did we achieve, and who (or what) helped us do it? Not sure my finance team are going to love some of those suggestions - they're definitely not as easy to plug into the traditional forecasting model!! But, we do have to evolve workforce planning. So here’s a question to my network (especially HR and Finance friends!): * Can your headcount forecast survive a conversation about AI without falling apart? Let me know your thoughts! #WorkforcePlanning #FutureOfWork #AIinHR #StrategicHR #HumanResources #HeadcountForecast

Headcount planning is becoming a dangerously incomplete way to understand workforce capacity. The future of workforce planning is not headcount planning. It is productive-capacity design. Because work no longer flows only through employees. It flows through: Employees. Contractors. Vendors. AI agents. Software. Workflows. Data systems. Decision rights. Approvals. Hand-offs. Bottlenecks. And yet many organizations are still trying to answer 2026 workforce questions with 1996 workforce math. “How many people do we have?” “How many people do we need?” “How much will they cost?” Those are still important questions. But they are no longer sufficient. The better question is: What productive capacity does the organization need to create, sustain, and improve the work that actually matters? That requires a shared model across the CHRO, CFO, COO, and CIO. Not four separate dashboards. Not HR counting heads. Finance counting cost. Operations counting throughput. IT counting systems. A shared model. Every work system should be evaluated across six dimensions: Cost: What does this capacity actually cost across labor, vendors, systems, and AI usage? Speed: How quickly can the work move without creating downstream fragility? Quality: Is the output reliable, useful, and decision-grade? Trust: Do employees, leaders, customers, and regulators trust the process? Resilience: Can the system absorb turnover, disruption, reorgs, and demand spikes? Learning: Does the system get smarter over time, or does it simply repeat yesterday’s process faster? This is where organizational design debt becomes visible. A company can add AI and still be slow. It can reduce headcount and still be expensive. It can automate tasks and still destroy institutional knowledge. It can generate more dashboards and still make worse decisions. Because the constraint was never just labor. The constraint was coordination. The organizations that win the next era of workforce planning will not be the ones with the leanest org charts. They will be the ones that understand how human capacity, technological capacity, operational capacity, and decision capacity actually combine to create value. That is the real workforce equation. Not “how many people do we have?” But: What capacity can we reliably coordinate? #FutureOfWork #PeopleAnalytics #OrganizationalDesign

So many business owners wait until their team complains or projects are overdue before they start hiring. By then, you're weeks behind on projects. To avoid that from happening to my businesses, I track one metric that predicts capacity issues before they kill momentum: How long clients wait between payment and their onboarding call. Basically, when someone pays, they want to start immediately. So I track how far out our next onboarding slot is. I check our Calendly every few days to see when new clients can get their first call. If there's same-day or next-day availability, we're good. If not, we're at capacity. For example, last week, I opened Calendly and saw the next available onboarding slot was 7 days out. That meant a client who paid today would wait a full week before their first call. That's the signal we were over capacity and needed to hire fast. Three other capacity signals to watch: 1) Quality decreases across all accounts 2) Team members mention feeling overwhelmed in weekly check-ins 3) Projects consistently miss deadlines The goal is to avoid being reactive and to instead hire before you need someone full-time. Start them part-time and let them scale into the role as demand grows. The easiest way to apply this would be to follow this 4-step process: Step 1 - Check your onboarding calendar. If the next available slot is 3+ days out, start hiring today. Step 2 - Review your last 10 client deliverables. If 3 or more missed deadlines or had quality issues, you're already over capacity. Step 3 - Ask your team in this week's check-in: "On a scale of 1-10, how manageable is your current workload?" If anyone says 7 or below, capacity is becoming a problem. Step 4 - Set a recurring calendar reminder to check onboarding availability every Monday and Thursday. This takes 30 seconds and prevents capacity mistakes. Same or next-day availability = healthy capacity 2-3 days out = start preparing job post 4+ days out = post the job immediately 7+ days out = you're already behind

In my first year leading campus recruiting, I had to set my own hiring goals. Predicting demand 12 months out in a constrained headcount world was a challenge. Here’s how I used data to build a headcount plan in 3 steps: 📈 Step 1: Estimate Monthly Planned Headcount by Function for the Next 18 Months I used the sales forecasting approach we had mastered in the supply chain. Even though I was estimating staffing demand, it followed a similar seasonal pattern to sales, growing at a similar rate. The only big change was adjusting for demand – engineering teams couldn’t hire enough whereas business teams were operating within a strict budget. 📉 Step 2: Estimate Monthly Attrition by Function and Level for Those 18 Months Before we had a long-range attrition forecast, I had to guess how many backfills we needed to add. Fortunately, I had access to attrition and promotion data. Mapping monthly or quarterly attrition percentages to the planned headcount produced a good estimate for the number of additional roles to be filled. 📊 Step 3: Calculate Recruiting Capacity Needed to Fill All Roles Once all of the roles are added together, the easiest way to figure out how many recruiters you need is to divide hires needed each month by expected hires per recruiter. But with data, you can get much more accurate while setting activity goals early. Looking at application-to-hire ratios for each role, then mapping activity needed to process those applications/screens/offers each month, can show you what’s feasible. It’s how we almost doubled the number of hires per recruiter without increasing workload. A lot of recruiting leaders are being asked to do more with less this year. The best way to set expectations, and exceed performance targets, is to start with data. I was brand new to recruiting when I ran this for the first time. Drop a comment below if you’ve found a more effective approach! #hiring #headcount #planning

Planning for jobs, not skills. That’s a risk multiplier. McKinsey just surveyed 1,925 companies and 4,000 employees across Europe and the U.S. The verdict? A widening gap between what businesses and employees need, and what HR is delivering. This was shocking to me. ✅73% of organizations do operational workforce planning. ❌But only 12% of U.S. HR leaders look 3+ years out. That means most “planning” is really short-term staffing. Not future skills. Not AI-driven shifts. Not what the business will actually need when the ground moves under us. What’s at stake? Talent gaps that stall growth. Misalignment between business and people strategy. HR functions stuck reacting instead of leading. But there’s a path forward. Here are 5 moves organizations should make now: 1️⃣ Extend your planning horizon. Look 3–5 years out. Align people plans with long-term business goals and market shifts. 2️⃣ Shift from roles to skills. Jobs change, skills endure. Map future skill demand (AI literacy, data analysis, sustainability) and start investing early. 3️⃣ Stress-test scenarios. Don’t just build one plan. Model for disruptions such as automation, regulation, and supply shocks. Prepare pivot options. 4️⃣ Link workforce + financial planning. Talent is capital. Integrate headcount and skill development into the same forecasting the CFO uses. 5️⃣ Build adaptive capacity. Make reskilling and redeployment continuous. Equip people to shift as priorities do. Don't react with layoffs. HR can either keep filling today’s jobs, or become architects of tomorrow’s workforce. Are you planning for headcount or for the skills your business will need in 2028? ♻️ Repost if you agree HR should be future architects. Follow me, Sarah Bloom, Ph.D. for more useful HR tips.

Most organizations still treat workforce planning as an HR exercise - something that happens AFTER strategy is set and budgets are defined. However, that approach is backwards and can ultimately hurt the business, leading to overhiring, underdelivering, and financial strain. Workforce planning should be a strategic lever and not an administrative function. Workforce planning should begin with a clear vision of what the business is trying to achieve. The answers could vary from revenue growth, market expansion, product innovation, or operational efficiency -- hiring decisions should be mapped against priorities and goals. Roles should exist to serve outcomes. Not all roles contribute equally to business impact - roles should be clearly defined and success metrics established per function. When every hire has a clear business case, workforce planning becomes far more effective. Budgets often get treated as constraints, but that narrative should be flipped. Budgets should help the organization build and establish discipline and allow for making certain trade-offs. Leadership should ask, "Are we overstaffed in low-impact areas?" or "Can we reallocate resources instead of adding new headcount?" The goal is to maximize the return on talent investment. A high-performing company shouldn't focus on whether they can afford a hire, but rather ask if the hire will improve financial outcomes over time. Workforce planning is usually viewed as an annual exercise rather than an ongoing conversation. When priorities and goals shift, the business should adjust hiring plans. It's important to keep an eye on real performance data. This keeps workforce decisions aligned with evolving business needs and financial realities. Workforce planning sits in the intersection of strategy, finance, and talent - these functions mustn't operate in silos. When these perspectives align, hiring becomes a strategic investment and not a guessing game. Ultimately, Workforce planning isn't about filling seats; it's about building the engine that drives your business forward. Companies that pay close attention to their talent strategy don't just hire better; they perform better. If you're looking to gain a better perspective on your hiring needs, build a workforce model tied to goals, or bring more discipline to how your financial model informs your talent strategy - let's connect! Happy to compare notes or dig into how you're approaching workforce planning today.

⚖️ The TA Capacity Planning Guide. Created from interviews with 72 Heads of People & Talent, capturing 600+ data points. A strategic resource for TA and People leaders in tech who need to: - Understand recruiter productivity - Understand capacity calculation - Benchmark against peers - Prioritise where to invest (or defend) capacity What’s inside: - Benchmarks by Company Size Live reqs hires/rec/month sourcing mix tech / AI maturity - Tooling Trends + Automation ROI What's adopted, what’s working, and where time is actually saved - Top Bottlenecks The constraints holding most teams back - Strategic Plays for 2025 AI-native workflows, skills-first hiring, dynamic planning models 🎯 Want the full report ? Comment "CAP REPORT" and I'll share access