Tech Unicorn Builders

Hi, we are researching data-driven decision-making approaches for startups and scale-ups. Implementing data analytics tools can be a time-intensive process, depending on company size, resources, and technical expertise. Some organizations move quickly, while others take months or even years to get an effective system in place. If you’re a founder, product lead, or engineering lead, please share your experience – how long did it take your organization to implement data analytics tools effectively?

🎉 𝟯𝟱 𝗬𝗲𝗮𝗿𝘀 & 𝗢𝗻𝗲 𝗟𝗲𝗮𝗱𝗲𝗿𝘀𝗵𝗶𝗽 𝗟𝗲𝘀𝘀𝗼𝗻 𝗜 𝗪𝗶𝘀𝗵 𝗜 𝗛𝗮𝗱 𝗟𝗲𝗮𝗿𝗻𝗲𝗱 𝗘𝗮𝗿𝗹𝗶𝗲𝗿 – 𝐁𝐢𝐫𝐭𝐡𝐝𝐚𝐲 𝐆𝐢𝐯𝐞𝐚𝐰𝐚𝐲 Today, I am turning 35. 😱 Looking back at my years as an entrepreneur, consultant, tech- and product lead, and startup mentor, there’s one leadership lesson I wish I had truly understood earlier: 👉 𝗚𝗿𝗲𝗮𝘁 𝗹𝗲𝗮𝗱𝗲𝗿𝘀𝗵𝗶𝗽 𝗶𝘀𝗻’𝘁 𝗮𝗯𝗼𝘂𝘁 𝗸𝗻𝗼𝘄𝗶𝗻𝗴 𝗲𝘃𝗲𝗿𝘆𝘁𝗵𝗶𝗻𝗴 𝗼𝗿 𝗺𝗮𝗸𝗶𝗻𝗴 𝗲𝘃𝗲𝗿𝘆 𝗱𝗲𝗰𝗶𝘀𝗶𝗼𝗻 𝘆𝗼𝘂𝗿𝘀𝗲𝗹𝗳. 𝗚𝗿𝗲𝗮𝘁 𝗹𝗲𝗮𝗱𝗲𝗿𝘀𝗵𝗶𝗽 𝗶𝘀 𝗮𝗯𝗼𝘂𝘁 𝗺𝗮𝗸𝗶𝗻𝗴 𝘆𝗼𝘂𝗿𝘀𝗲𝗹𝗳 𝘂𝗻𝗻𝗲𝗰𝗲𝘀𝘀𝗮𝗿𝘆. I’ve seen it (and lived it) too many times: ⚡️ Founders trying to control everything. ⚡️ Believing they are the only ones who can make the right decisions. ⚡️ Thinking their company wouldn’t function without them. The cost? Burnout, chaos, and a company that’s built on quicksand. Here is what I have learned instead: 💡 𝗗𝗲𝗹𝗲𝗴𝗮𝘁𝗶𝗼𝗻 𝗶𝘀𝗻’𝘁 𝗷𝘂𝘀𝘁 𝗵𝗮𝗻𝗱𝗶𝗻𝗴 𝗼𝗳𝗳 𝘁𝗮𝘀𝗸𝘀 – 𝗶𝘁’𝘀 𝘁𝗿𝗮𝗻𝘀𝗳𝗲𝗿𝗿𝗶𝗻𝗴 𝗼𝘄𝗻𝗲𝗿𝘀𝗵𝗶𝗽, 𝘄𝗶𝘁𝗵 𝘁𝗿𝘂𝘀𝘁. 💡 𝗚𝗿𝗲𝗮𝘁 𝗱𝗲𝗰𝗶𝘀𝗶𝗼𝗻𝘀 𝗱𝗼𝗻’𝘁 𝗰𝗼𝗺𝗲 𝗳𝗿𝗼𝗺 𝗺𝗶𝗰𝗿𝗼𝗺𝗮𝗻𝗮𝗴𝗲𝗺𝗲𝗻𝘁 𝗯𝘂𝘁 𝗳𝗿𝗼𝗺 𝗰𝗹𝗲𝗮𝗿 𝗽𝗿𝗶𝗻𝗰𝗶𝗽𝗹𝗲𝘀. 💡 𝗔 𝘀𝘁𝗿𝗼𝗻𝗴 𝗰𝗼𝗺𝗽𝗮𝗻𝘆 𝗶𝘀 𝗼𝗻𝗲 𝘁𝗵𝗮𝘁 𝗸𝗲𝗲𝗽𝘀 𝗴𝗿𝗼𝘄𝗶𝗻𝗴 – 𝗲𝘃𝗲𝗻 𝘄𝗶𝘁𝗵𝗼𝘂𝘁 𝗶𝘁𝘀 𝗳𝗼𝘂𝗻𝗱𝗲𝗿. My birthday gift to you: a question to reflect on (and a free coaching) 🔥 𝗪𝗵𝗮𝘁’𝘀 𝗼𝗻𝗲 𝗱𝗲𝗰𝗶𝘀𝗶𝗼𝗻 𝗮𝗿𝗲 𝘆𝗼𝘂 𝘀𝘁𝗶𝗹𝗹 𝗺𝗮𝗸𝗶𝗻𝗴 𝘆𝗼𝘂𝗿𝘀𝗲𝗹𝗳 – 𝘁𝗵𝗮𝘁 𝘆𝗼𝘂𝗿 𝘁𝗲𝗮𝗺 𝗰𝗼𝘂𝗹𝗱 𝗵𝗮𝗻𝗱𝗹𝗲 𝗶𝗻𝘀𝘁𝗲𝗮𝗱? Drop your thoughts in the comments! 👇 🎁 𝗕𝗶𝗿𝘁𝗵𝗱𝗮𝘆 𝗚𝗶𝘃𝗲𝗮𝘄𝗮𝘆! To celebrate, I’m giving away 𝟱 𝗳𝗿𝗲𝗲 𝟰𝟱-𝗺𝗶𝗻𝘂𝘁𝗲 𝗰𝗼𝗮𝗰𝗵𝗶𝗻𝗴 𝘀𝗲𝘀𝘀𝗶𝗼𝗻𝘀 on leadership, delegation, or scaling your startup. Drop me a message, if you want one. ☺️ #Leadership #Delegation #Entrepreneurship #Scaling #StartupGrowth

Hi, we are researching data-driven decision-making approaches for startups and scale-ups. Setting up tools for data collection and analysis should empower teams, but it often comes with technical and organizational challenges. From integration hurdles to data accuracy issues, companies run through a range of obstacles when building a reliable analytics system. If you’re a founder, product lead, or engineering lead, we’d love to know – what is the major challenge your team faces when setting up tools for data collection and analysis?

For our German-speaking followers: Free LinkedIn Live Event happening next week. Are we seeing you there? 😊

Hi, we are researching data-driven decision-making approaches for startups and scale-ups. There are countless tools available to help teams make data-driven decisions, yet choosing and integrating the right ones can be challenging. While some teams thrive with their current setups, others face limitations that impact their decision-making. If you’re a founder, product lead, or engineering lead, help us understand how satisfied you are with your current tools for making data-driven decisions about your product! 1️⃣ Very satisfied – the tools meet all our needs 2️⃣ Moderately satisfied – some improvements are needed (Please comment or DM, we would love to hear which improvement you are wishing for) 3️⃣ Dissatisfied – we face significant challenges (Please comment or DM, we would love to learn about your challenges) 4️⃣ Not using any tools currently

Hi, we are researching data-driven decision-making approaches for startups and scale-ups. Businesses today are increasingly relying on data to drive key decisions, but the level of dependency on data can vary significantly across different organizations. Some treat it as an essential pillar, while others still rely on intuition and experience. If you’re a founder, product lead, or engineering lead, we’d love to hear your thoughts on how critical data-driven decision-making is for your organization's success! 1️⃣ Essential – it drives our product strategy 2️⃣ Important – we use it but not exclusively 3️⃣ Somewhat important – we could improve our data usage 4️⃣ Not important – we rely on other methods (please comment which methods you are using)

Hi, we are researching data-driven decision-making approaches for startups and scale-ups. Product performance is where startups start working with data and data-driven decision-making. If you’re a founder, product lead, or engineering lead, please help us understand what tools you use to collect data to make decisions about your product. 

Hi, we are researching data-driven decision-making approaches for startups and scale-ups. We often assume that tracking user behavior and product usage provides a clear understanding of what people want. However, the methods used to collect this data can vary, sometimes impacting the accuracy and reliability of data-driven decision-making. If you’re a founder, product lead, or engineering lead, please share your thoughts and help shape the way we use data!

Hi, we are researching data-driven decision-making approaches for startups and scale-ups. The number of methods and frameworks available seems to be overwhelming. But in our own experience, we see companies using the same techniques repeatedly. If you’re a founder, product lead, or engineering lead, please help us understand how your team works with data to make decisions about your product.

We would like to learn more about how you experience your workload and the number of topics you need to keep in mind as a founder.