Boris Bićanić’s Post

🚀 How to Become a Rockstar in Building a User Pricing Journey – Part 2 Pricing isn’t just about numbers—it’s about strategy, timing, and understanding your audience. ✨ Highlights from Part 2: - Influence Map: Pinpoint your position in a crowded ecosystem and align your strategy. - Superpower №2 – PQL Engine: Attract users with irresistible free features while building a path to revenue. - Feature-Oriented Curve: Innovators want bold ideas; the Late Majority demands time-tested functionality. 🎯 Balancing proven, conservative clients with bold, innovative ideas is the key dilemma—and the opportunity! Check out Part 2 now, and stay tuned for Part 3 on monetization strategies, bundling, and psychological price levers. #PricingJourney #ProductStrategy #InnovationCurve #Superpowers

You can’t improve what you can’t measure. Here's why If you can’t measure it, you can’t improve it. Assumptions might get you started but metrics are what drive progress. Whether you’re: → Optimizing code. → Improving user experience. → Or scaling a product. Clear data is your north star. Start with metrics. Let them guide your decisions. Thoughts?

I very much enjoyed this report from Optimizely on experimentation. Experimenting is such a critical tool for learning, optimizing, and measuring customer and business outcomes. In the report, they make a strong case for personalization and testing multiple recipes. #experimentation #productmanagement #abtesting #optimizely #themoreyouknow

When someone says, "I’d use your product if it had X feature", it’s tempting to drop everything and start building it. But as a product-obsessed founder, you learn over time that what people say they want often diverges from what they truly need. The key is to focus on actual user behavior, not just verbalised wishes. Double down on analytics, observe deeply, and build for the reality of how they interact with your product. That’s how you create something truly impactful and indispensable.

Stop asking WHAT you need to do to optimize your company’s digital journey, and start asking WHY. Digital journey optimization is filled with tactics and best practices. Yes, exploring A/B tests and diving into your company's data can lead to informed changes that bring big revenue results. That process merely scratches the surface of the opportunities you have to create a truly curated and guided digital experience. You need to know the “why” behind these successes: 👉 WHY do customers think the way they do? 👉 WHY do they react to certain stimuli while ignoring others? 👉 WHY did they come to the decisions they've made? Then, you have the opportunity to present a digital journey that aligns with the way your customers think and feel. Even if they don’t understand why. I walk you through the entire process of optimizing your company’s digital journey to guide customers toward the right decision for them in my new book. Check it out ⤵️ https://lnkd.in/gpPK-Kfj

There's all this talk about metrics, but how do you know if you're actually choosing the right ones for your experimentation program? Check out this recent blog by Optimizely's Mark Wakelin to see what metrics you should be looking at to scale your experimentation program: https://ow.ly/7Iix50QP8iZ

Are you drowning in feature requests? Then it's time to say goodbye to guesswork and say hello to data-driven decisions by adopting product experimentation. Prioritize effectively 📝 Validate assumptions early ✅ And ship with confidence 📦 Read more and get started to with Optimizely Experimentation: https://lnkd.in/dFJRPtsQ

Here is a compelling hook for a social media post based on the given information: "Unlock the Secrets to Building a Scalable Product Empire: Insider Strategies for Designing for Go-to-Market Fit, Simplifying Product Design, and Bridging the Product Company Gap" This hook highlights the key insights and strategies covered in the article, including designing for product-market fit, simplifying product design, and overcoming the challenges of transitioning from a product to a company. The language is engaging and promises valuable, insider information to the reader.

Nothing is more rewarding than seeing a conversion impact from a simple little change you made. First time – you fail… big. Second time – you fail, but not as badly. Third time – you nail it and see a 4% conversion increase from a small UI tweak. This is the essence of product experimentation and my pure obsession with driving radical growth. Because if you can’t measure it, you can’t grow it. As research from the Nielsen Norman Group highlights, what users say they do often differs from what they actually do. So, balancing both qualitative insights and quantitative data is key. When designing for businesses or consumers, we must always remember that there’s a human on the other end. We’re not just dealing with numbers or robots (well, maybe some), but with people who have complex emotions and problems, both at work and at home. We’re bombarded with notifications, emails, and reminders, which is why conversion rates fluctuate. It’s crucial to design with empathy in this age of information overload. For over 20 years, Netflix has been an experimentation machine, unlocking vast amounts of knowledge about how users feel and behave. Navin Iyengar’s talk on 'Design Like a Scientist' from six years ago still resonates with me today. He explained how key product decisions can significantly impact user feelings, which in turn affects conversions. Whether it’s dogs barking in the background, kids singing the latest Wiggles song, or simply a rough day, these factors influence how we respond to upsell prompts, pricing, content, or ads for the latest Deadpool movie. It’s all connected. What is your favourite product that brings you nothing but enjoyment even after a horrible day?

Simplifying Product-Market fit into one word: Retention. Okay users are signing up, how many are still using in 6 months? What about 12? From the people that left, why? A competitor with a better price or a better product? Your product didn’t properly solve the problem it was meant to solve? Users realized that their problem isn’t worth the cost of your product? Once you simplify your product, and you solve a very specific problem, and users are retained, then you’re getting closer to PMF. Thats what we are working on at Stella | Growth Intelligence if you’re curious. Image from “Fall in love with the problem, not the solution” by Uri Levine