Nils Stotz — Head of Product | Experimentation & AI | Lecturer | Researcher | Springer Author | Bocconi
Head of Product | Experimentation & AI | Lecturer | Researcher | Springer Author | Bocconi
Nils Stotz ranks #561 of 19,190 LinkedIn creators in Retail, and is a standout voice in Germany. They have 10.9K followers and published 26 posts in the last 30 days at a 0.5% average engagement rate.
- 10.9K followers
- 26 posts / 30d
- 0.5% avg engagement
- 203 follower growth / 30d
The roast
Nils claims 80 percent of features are useless, which explains why he spends his work week writing Springer books nobody reads to keep his 0.69 percent engagement rate company. He’s the human equivalent of a Zalando return pile: technically inventory, but nobody is actually buying it.
About Nils
80% of product features are rarely used. Yet companies still invest billions in gut decisions. I believe we can change that – by making Experimentation the central principle of product, strategy, and innovation. I explore how experiments can answer not just small UX questions, but the big bets: business models, growth strategies, and organizational choices. Here on LinkedIn, I share tools, ideas, and stories from the global Experimentation community — to inspire a shift towards truly evidence-based innovation.
Highlights
- Top 5% in Retail — Ranked #21 of 1012 creators
- Top 5% in Germany — Ranked #36 of 824 creators
- Consistent Creator — 14 posts in 30d · top 10%
- Big Audience — 10,945 followers · top 25%
Recent posts
HiPPOs hate this summer reading list. 😜😜😜 I always enjoy seeing what other people put on their summer reading lists. One I usually look forward to is the annual selection of McKinsey & Company McKinsey & Company. Not necessarily because I will read every book, but because summer is a good opportunity to explore ideas outside the topics that dominate your normal working week. So, for anyone who wants to use a few quieter days to brush up on experimentation, I put together nine recommendations. Some are directly about A/B testing. Others approach experimentation through statistics, prod
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The last thing you see before 2️⃣0️⃣ startup ideas get thrown across the dinner table. 😂 Recently, I met up with Maximilian and Sina again and as always, what was supposed to be a normal dinner quickly turned into a long conversation about startups, emerging technologies, distribution, experimentation and probably five business models that should not have sounded as convincing as they did. 🚀 We have been in touch for many years now, and I always leave these evenings with a lot of energy and new perspectives. It is simply fun to spend time with people who are genuinely curious, move quickly
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𝐓𝐡𝐞 𝐝𝐞𝐞𝐩𝐞𝐫 𝐈 𝐠𝐨 𝐢𝐧𝐭𝐨 𝐞𝐱𝐩𝐞𝐫𝐢𝐦𝐞𝐧𝐭𝐚𝐭𝐢𝐨𝐧 𝐫𝐞𝐬𝐞𝐚𝐫𝐜𝐡, 𝐭𝐡𝐞 𝐦𝐨𝐫𝐞 𝐢𝐧𝐭𝐞𝐫𝐝𝐢𝐬𝐜𝐢𝐩𝐥𝐢𝐧𝐚𝐫𝐲 𝐢𝐭 𝐛𝐞𝐜𝐨𝐦𝐞𝐬. 🧪📚 And honestly, that is one of the things I find most fascinating about the field. Experimentation is not only discussed in “A/B testing” or “product analytics” circles. It shows up across many research traditions: 🟣 Management 🟣 Entrepreneurship & Innovation 🟣 Computer Science 🟣 Operations 🟣 Engineering 🟣 Economics 🟣 Organizational Learning A study Angelo Cavallo recently pointed me to made this very visible again. 🙏 Leon
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