Welcome to my blog

Danai Aristeridou / Δανάη Αριστερίδου / Δαναη Αριστεριδου

Hi folks!

I am Danai Aristeridou!

I’m a strategic AI Product Manager based in Thessaloniki, Greece, with a background in data science and product management.

I have 4 years of experience in product and in total 10 years of experience in IT sector, being exposed in small/medium companies and international corporations. The last 8 years I focused on building AI products.

I’m passionate about building smart, user-focused products that solve real-world problems.

I love working at the intersection of tech and business — turning complex challenges into impactful, easy-to-use solutions.

I created this blog to share ideas, insights, and lessons from my journey in AI and product development.

Let’s connect and grow together. 😊

👉Here you can view my detailed CV

Comments

No Idea What to Build Next? Let Customer Complaints Talk

Feeling stuck? Not sure what you should work on next? Is it time to build your product roadmap, but you only have a few eggs in one basket? Ok, I got you. We are product people, and our job is simple (but not easy): solve customer problems . The real question is—how do you reliably identify those problems? There’s one place you should always start. Customer Support.🙌 They know your customers better than anyone else. They talk to them every single day. They hear the frustrations, the confusion, the anger, and the unmet expectations. Go sit with them. Talk to them. And most importantly, get access to their support tickets or complaints database. That’s the Holy Grail .💥 There’s nothing more valuable than a well-maintained complaints database. From Manual Pain to AI Superpower Back in the day—before large language models were widely available—you had to manually go through this data. Teams relied on N...

Reflections from ProductCon London 2026

ProductCon London 2026 really nailed it. One of the best conferences I’ve attended — even virtually. I genuinely felt energized and inspired by the talks. Still digesting everything. Here’s what really stayed with me: The importance of human-in-the-loop in AI systems to build trust. Ashley Nutter framed this in a practical way—clarifying when humans step in, what their role is, and what happens after they intervene. How PMs can inspire truly autonomous teams even without formal authority . Nilan Peiris was a strong reminder that real impact comes from influence, clarity, and trust — not title. The idea that ChatGPT is the product manager your customers are already talking to — the “shadow PM” who understands their pain points. Pavel Fabrikantov’s point about AI discoverability really made me rethink a few things. The shift of product managers toward becoming builders, and the need for real frameworks to drive AI-native transformation . Great perspective from Carlos...

Common mistakes in product discovery sessions

What I enjoy most about the role of a Product Owner is product discovery. Many of these sessions have ended in failure 😓—but looking back, I now see those failures as invaluable. Connecting the dots helped me realize that each misstep carried a lesson. Out of these experiences, I’d like to share the most common mistakes I made (and I believe many newbies do too). Leading by example in reverse ! 💀 Using discovery sessions for validation: Let me explain by using a story. When I go to yoga, my lovely instructor always says "Use your mind like a beginner. Approach each position as if you’re experiencing it for the first time." . In Greek it's called the αρχάριος νους. Αccording to Shunryu Suzuki: In the beginner's mind there are many possibilities, but in the expert's mind there are few. I try to bring this principle into discovery sessions today—but it wasn’t always the case. In my early days, I’d tal...

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