Kenji Hayward’s Post

Working with small and mid-size teams taught us something powerful: They don’t need 10 new tools. They need one source of truth. Most inefficiency isn’t technical, it’s organizational. Simplify the workflow, and suddenly everyone breathes again.

Hiring is expensive. Automation is fast. But neither is always right. The real skill is knowing when a role needs heart and when it just needs code. What most leaders do: → Hire someone for every task, from reports to follow-ups → Forget the hidden costs: time, training, turnover → Or automate blindly, and lose the human touch What actually works Automate when: → The task is repetitive and low-value → Speed and precision matter more than judgment Hire when: → The work requires creativity, empathy, or strategy → Trust, communication, and presence drive results A machine can send a reminder faster. But it cannot negotiate a deal, build loyalty, or lead a team. The edge is not in choosing people or systems. It is in knowing where each one belongs. If you had to decide today, which task in your business would you automate and which one will always need a human? Terryl Curry

As a founder, your greatest asset is your team. But at an early stage, it's easy to confuse activity with progress. Even a lightweight performance management system isn’t corporate bloat — it’s your tool to scale people, focus execution on outcomes, and build a culture that wins. Here are the 4 key pieces to put in place before your team hits 20–30 people. 1. 🎯 Goal Alignment That Drives Execution (Everyone loves to toss around OKRs but really what you need are simply SMART Goals) Your team can’t read your mind. Without clarity, they’ll build in the wrong direction. Founders who implement company-wide goals that give clarity on how to measure success early build tighter feedback loops, ship faster, and reduce confusion. 2. 🔁 Continuous Feedback & Coaching, Not Just Reviews Your startup is evolving weekly — your feedback loop should too. High performers want feedback now, not six months from now. Coaching early builds a culture of trust, transparency and rapid improvement. 3. 📊 Data Driven Performance Tracking (Not Just Gut Feel) Startups often over-rely on intuition. That works with 5 people — not 15. Founders who define measurable performance metrics spot underperformance early and double down on what works. 4. 🏅 Structured Reviews + Recognition = Retention Startup teams burn out fast if they don’t feel seen. Recognition and structured performance cycles don’t just boost morale — they reduce churn and keep top talent engaged when you can’t yet match BigCo salaries.

You roll out a new system. Train the team. Explain the benefits. Two weeks later, everyone's back to their old workarounds. Creative teams don't hate process. They hate BAD process. Process that doesn't listen. Process that slows them down. Process that feels like punishment. After working with thousands of creative and marketing leaders, here's what actually drives successful change: Listen before you act. Survey your team BEFORE rolling out changes. One leader discovered their system wasn't the problem—the process structure was. They simplified based on real feedback, and adoption skyrocketed. Pilot, don't mandate. Test with small groups first. Let them break things. Refine. Then scale. Leadership must model it. Train in waves, not once. Build a culture that enforces process. Plan for evolution. Change management isn't about tools. It's about people, culture, and adaptability. The question isn't "How do we make them use this?"—it's "What's their resistance, and how do we make this work for them?"

𝗝𝘂𝘀𝘁 𝗯𝗲𝗰𝗮𝘂𝘀𝗲 𝗶𝘁 𝘄𝗼𝗿𝗸𝘀, 𝗱𝗼𝗲𝘀𝗻’𝘁 𝗺𝗲𝗮𝗻 𝗶𝘁 𝗺𝗮𝗸𝗲𝘀 𝘀𝗲𝗻𝘀𝗲. This is one of the best example I came across that explains 𝗗𝗶𝗴𝗶𝘁𝗮𝗹 𝗧𝗿𝗮𝗻𝘀𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝗼𝗻 𝗳𝗮𝗶𝗹𝘂𝗿𝗲. Perfect illustration of over-engineered solutions that technically "work" but create terrible user experiences. Solving one problem and the wrong constraint (saving wire) to create a much bigger problem (usability nightmare + frustrations) Yayyy, we saved a few meters of wire would say the Product Manager (+Project Manager+CFO) But now figure out: - Another tool for basic operation - Extra time for every interaction - User frustration at every touchpoint - Training on "the workaround" And most of the time it's the tech team who has to figure all this out 𝗟𝗲𝘁'𝘀 𝗽𝘂𝘁 𝘁𝗵𝗶𝘀 𝗶𝗻 𝗿𝗲𝗮𝗹 𝗹𝗶𝗳𝗲 𝗻𝗼𝘄: - Chatbots that force users through 10 irrelevant questions and no access to a human - A dashboard that never gives you the data you need - AI tools that require more cleanup than doing it manually - "Automated" processes that need three manual approvals - Apps that save IT costs but waste everyone else's time - Like the elevator button at La Croisette - that one is a gem really, first time i saw it, I bugged Leaders eager to invest in new tools and systems need to first change their mindset: stop working in silos and start working for actual users Don't move problems, solve them. Solutions have to make sense! The best solutions are invisible. The worst ones require instruction manuals.

Like faux DevOps. Calling DevOps by name, but on the inside actually ingrained IT culture in reality. For DevOps to work, DevOps is the lazy mode yet effective automation and orchestration of dev engineering and operations. DevOps + AI = NoOps. Terraform, Ansible, Docker, Kubernetes, Jenkins, and other tools that make dev plain sailing.

It's always jarring to hear how some of the biggest tech orgs have no internal visibility on the work, goals, and outcomes of teams. I talk regularly to burned out principal level engineers (IC7-IC9) and leaders powering tools, apps, systems, ready to start their own consulting (once their options vest) because their orgs are so dysfunctional. I hear stories of conveyer-belt-like Directors (picture it) running from meeting to meeting with no spark left to motivate their teams. Teams post self congratulatory wins and no one offers feedback. There's no time or no one knows how it fits in big picture. The company has lost its soul. The people are questioning their purpose. Once orgs become disconnected, where there’s no communication between teams, no clarity on why their work matters, and how it’s impacting the business, the clock starts ticking. Have you ever worked in a zombie org?

Stop losing quarters to "assumed" alignment. Teams assume they're aligned on the future just because they work together daily. But that trust is often a Trojan horse. Assumptions are not alignment. Your team hears “digital transformation”: — One thinks AI will replace jobs. — Another thinks it creates opportunities. — A third thinks it’s mostly hype. Same words, different mental models driving decisions. Result: diverging strategic initiatives, conflicting priorities, wasted resources—often a lost quarter. 🔀 5‑minute check: — Everyone finishes the same sentence “To still be competitive in 5 years, I believe…”  — Tag each: trend, hope, or constraint. — Compare: how aligned are you—really? I am curious: What's helped your team achieve real strategic alignment in fast paced environments?

“Why can’t my team just get it right?” That used to be the question running through my head at the end of too many days. Not out of frustration with them — but because despite all our effort, checklists, and meetings, the outcomes still missed the mark. It wasn’t about skills or intent. It was about thinking patterns. When I started learning Thinking Profiling, everything clicked. It revealed something I hadn’t seen before — that every team member, including me, operates from a dominant way of thinking. There are four archetypes: 🔹 Visionary – sees the future and drives big-picture strategy. 🔹 Architect – loves structure, plans, and frameworks. 🔹 Dynamo – executes fast, thrives on momentum. 🔹 Collaborator – connects people, builds trust, and alignment. Most teams unknowingly overuse one pattern — and that’s where friction starts. Too many Visionaries, and nothing gets finished. Too many Dynamos, and chaos reigns. Too many Architects, and speed disappears. Too many Collaborators, and tough calls get delayed. I learned that my natural style — the Architect — gave me control and clarity but slowed down decisions. I was over-structuring when I needed to empower. Since then, I’ve used this model to help leaders and high-performing teams identify their strengths, stretch zones, and blind spots. When leaders balance their thinking styles, decision-making sharpens. When teams learn to do the same, performance soars — not from doing more, but from thinking better. Because improving performance isn’t just about optimizing processes — it’s about understanding the minds behind them. If you’re curious about how your team’s thinking patterns might be shaping results — 👉 let’s connect. Connecting processes and minds — with Para. The profiling is based on the tool Meta DynamicsTM 💭 Which thinking style do you see most often dominating your team — and how does it show up in results?

💬 Why Soft Skills Matter More Than Ever in 2025 In a world obsessed with AI, automation, and advanced tech, it’s easy to forget one thing — human skills still run the show. We’re in an era where machines can do the calculations, analyze data, and even write code. But what they can’t do is connect, empathize, inspire, or lead with emotional intelligence. That’s where soft skills come in — and they’re becoming the ultimate career differentiator in 2025. Here’s why 👇 1. Automation is replacing tasks, not relationships. Anyone can learn software. But not everyone can build trust, communicate clearly, or resolve conflict in a team. 2. Hybrid work demands better communication. With teams spread across cities (and time zones), people who can collaborate virtually — while staying human — stand out. 3. Leadership has shifted. Today’s leaders need empathy more than authority. The best managers are listeners first, decision-makers second. 4. Adaptability is the new skill currency. Change is constant. The ability to stay calm, learn fast, and adjust quickly will keep you relevant long after others burn out. So while technical know-how gets you noticed, soft skills keep you valuable. Because no matter how advanced technology becomes, people still prefer working with people — not programs. 💡 Invest in your communication, empathy, and adaptability. They’ll outlast every app update.