Forget solo productivity tips. Learn how efficiency in teams comes from fewer tools, smaller teams, real conversations, and simple processes.

Productivity content is booming again — AI tools, async workflows, and hundreds of “work smarter” guides flood feeds daily. Yet most teams are not getting faster or better. They’re getting noisier, distracted, and overwhelmed.
If you lead a team of 5–50 people, this article is for you. Not because I have all the answers, but because I’ve been in your shoes: I grew Yonder, a B2B SaaS company, from 0 to over 20 people. I learned that team efficiency is the real multiplier — far more than solo productivity hacks, morning routines, or Elon Musk-style success rituals.
Most productivity advice is ego-driven. It works for the author personally, but it rarely scales to teams. In small organizations, real efficiency doesn’t come from doing more individually — it comes from team collaboration.
In this article, you won’t find “top 10 productivity hacks” or “morning routines for billionaires”. Instead, you’ll get lessons tested in a growing team where mistakes are costly and time is finite.
1. Too Many Tools Is the New Technical Debt
Like almost every startup, I admit we overtooled at the beginning of our journey. Common wisdom has it that you save time by using productivity tools — instead, you are losing money by spending time with migration and manual work.
After using a wide range of tools, only a minimal set has remained in our company. Here is what I would recommend:
- Stick with the tools you have, even if they have limitations. Your company isn’t as special as you might think, and you can probably use the same note-taking functionality, sales funnel, or marketing automation workflow as everybody else. Customize as little as possible, as customized tools are hard and thus expensive to interface with.
- Overspend on pro versions of your selected tools when starting your company. In this way, you’re not setting up work-intensive manual processes you will have to migrate later on — typically during a phase of rapid growth.
Overtooling started with the SaaS era in the 2010s but got significantly worse in the AI era. Many AI tools promise increased efficiency, but fail to deliver it when fed with real-world, messy data.
2. Fewer People, More Ownership
The tools part was easy. Now on to something more difficult.
Legend has it that when your company grows, your team needs more resources. Whilst that is certainly true in functions like customer success or customer support, let me share a secret with you:
Sometimes, it helps to have fewer people on your team.
At 30 people, you don’t need a full-time QM or CISO. You don’t need six people on your executive team. And you certainly don’t need a finance expert who prepares numerous Excel sheets; the CEO can handle the finances himself. That’s how we do it at Yonder, the B2B SaaS company I co-founded.
Parkinson’s Law at its finest. You need fewer chiefs, but more Indians. When things go badly, don’t hire an additional manager. It’s better to fire a manager, not replace him, and organize the work more efficiently. By the way, that’s not just theoretical talk; I’ve done this before.
The fewer people principle doesn’t just apply to managers, but also to team members. The smaller the number of team members, the higher the ownership per team member. That was true before the AI era, and is much more so now that most functions in a SaaS company use AI tools one way or the other.
3. Async Isn’t Free: Why Talking Still Scales Better
Now it gets even harder. Productivity guys swear by working asynchronously, which is often just an excuse for sending too many emails and chat messages.
I’m afraid there is no way around talking to each other — be it in person, or over tools like Slack or Teams.
And that’s why you need leaders. One of their primary tasks is to make sure people talk to each other rather than write to each other. What sounds simple is a never-ending marathon.
4. Information Diets Are a Leadership Responsibility
For your sanity, get away from all the trash news on social media and in tabloids. If you feed your brain junk food, your thoughts will degrade. If you feed your brain quality news instead, your thinking will sharpen, plus you will be able to focus much more on what’s relevant.
As a team in a company, there are three additional sources of trash news.
First, it’s the rumors that spread around the coffee machine. They divert time, energy, and focus from the main effort, which is usually to make money. Avoiding rumors is a leadership responsibility. It’s not done by the occasional town hall meeting but by yet another never-ending marathon of communication.
Second, it’s the misunderstandings that come from discussions between different teams or with customers. Misunderstandings happen all the time, especially when your product is invisible, like software or consulting. A constant discussion with your team on products and services is required to avoid misunderstandings — yet another marathon.
Third, corporate politics suck up time, energy, and focus. As a small team, you probably don’t have any corporate politics. But you probably have customers who have corporate politics, and this will spill over to your team. In my view, the best way is to filter out corporate politics and focus on the main effort instead of getting emotionally invested in political topics.
5. Simple Processes Beat Smart People Every Time
The last element on the road to efficiency is a set of clear and simple processes. If it’s clear to everybody what to do and what not to do, time and energy are suddenly sufficient to get all the stuff done within a reasonable time.
Furthermore, drawing up simple processes is a key skill in the AI era: It will be much easier to automate a simple process with AI rather than complex, messy processes.
Processes shouldn’t be carved in stone but adapted if and when the organization evolves. And that’s the last never-ending marathon the leadership team of any organization needs to run.
Conclusion
Efficiency in teams is not the result of clever tools or personal discipline; it is the outcome of conscious leadership choices made every day. Fewer tools, smaller teams, real conversations, filtered information, and simple processes all point to the same principle: reducing friction matters more than increasing effort.
In a world of remote work, AI assistance, and constant noise, teams that deliberately remove complexity will consistently outperform those that chase the next productivity trend.
Efficiency, in the end, is not a hack — it is a discipline.



