Fuzy.ai @FuzyHQ

"How do you ensure your product decisions are aligned with customer needs and business goals? Leslie Jordan's insights in our latest interview highlights the importance of understanding customer pain points and integrating cross-functional insights. hubs.ly/Q02cW6tB0

Check out our interview with Irina Tyshkevich: Senior Director of Product Management at Auctane about how she combines data-driven strategies with creative thinking. hubs.la/Q0293mS90 #PLG #product-led #productmanagement

Congratulations, you just launched a new feature ✨ You’ve done a ton of work and invested resources—now what? Here are the questions that every product leader should be asking after launching a new feature, along with how to answer them using Fuzy 👉 hubs.la/Q022JRc-0

Do you have what it take to be product-driven? 1️⃣ Leadership Prioritization 2️⃣ Humility & Curiosity 3️⃣ Transparency & Autonomy Read on 👉 hubs.la/Q01-1ZmK0

Learn how to transition from simply counting data to creating deeper context and insights to inform your product strategy from Fuzy's Head of Design, Alex Zelenak. hubs.la/Q01_zn0K0 #productscience #productstrategy

Here's a look at our security posture and protocols developed here at Fuzy as part of our SOC 2 Type 1 Journey . hubs.la/Q01-21Qq0

Data-driven culture is easier said than done. But with the help of some of our friends and seasoned data science experts we've narrowed down three cultural traits essential for product-driven organizations 👉 hubs.la/Q01-2cch0

Our latest interview with Tom Wilbur, is packed with valuable insights from his time at Vast and Indeed for product teams to make more data-driven decisions. Here's Tom's advice for developing product science capabilities within your own company 👉 hubs.la/Q01Xt6_Q0

✨ What's new in Fuzy? Confidently and clearly navigate your data journey with: 🔍 Correlations heatmap visualizations & model quality transparency 🗂️ Deeper event exploration 📧 PWeekly Product Digest via email 🔒 SOC 2 Type I compliance hubs.la/Q01XtfjP0

📢 In our new interview Ethan Handel, senior product manager at @indeed talks about non-linear career paths, hands-on data handling and how to avoid overestimating unique needs. Check out the interview 👉 hubs.la/Q01X8lmc0 #ProductAnalytics #DataScience #ProductManagers

📈 Sales and marketing can no longer drive growth in today's businesses alone. Product and engineering are driving commercial impact, but transforming data into informed decisions remains a challenge for many organizations. But PSaaS makes it simple. hubs.la/Q01VK3Dr0

Our conversation with Christine Luo, Indeed veteran & data analytics expert delivered more takeaways for product managers & teams than we can count. Tips to identify your product's magical moments using data this way 👉 hubs.la/Q01VK1c90 #productanalytics #productmanagers

Dive into our interview with @adamdahlgren, COO at @allstacksapp where he talks about outcomes data, the bridge between Product, Engineering & the Business, and the power of small, repeatable value increments. hubs.la/Q01Vf-910

📣 Product Managers — don't spend hours triangulating patterns across disparate data sets to run effective, high-value experiments that deliver business outcomes. ✨ Instead try Product Science as a Service (PSaaS) hubs.la/Q01S74Q-0 #PLG #productscience #productmanagers

What's New in Fuzy? Outcome-first product discovery 🎯 Targets: Now you can create and modify event-based Targets to focus on what matters most. 📊 Recharts: A new charting library with more customization options. 🔗 @datadoghq RUM Integration hubs.la/Q01QSPpk0

Say goodbye to wasted hours searching Slack, tickets, and docs to re-research “what happened.” The Fuzy Timeline combines post-release learnings from Slack and the insights timeline to keep your team in sync and make playbacks a cinch. ✨ hubs.la/Q01N3LD20

What can product teams use Fuzy for? Here's one: ✨Validate whether product releases have the intended impact Learn more about Fuzy's product science: hubs.la/Q01L-MVn0?

The founders of Fuzy all share a common interest in data science and problem-solving. They identified a gap in the product-led growth model and are working to fill it by turning product data into product science. Learn more about how they got here hubs.la/Q01KHtRy0

Product owners are drowning in data and dashboards with nothing to show expect a job listing for a data analyst. Blog: How product teams can make sense of data and build what matters hubs.la/Q01Kg1j20 #productintelligence #PLG #productanalytics

Fuzy is cheaper than hiring a data scientist or product analyst (which is probably on hold at the moment) to accelerate product decisioning — with faster insights with no additional code or instrumentation. We did the math for you.