Turning Analytics Into a Team Sport

Cross-functional collaboration and data-driven decision making 🔄 The old model of self-service analytics is being replaced by a more flexible and interactive approach, where data teams partner with product managers, success teams, and design to uncover deeper insights. 📊 The new modern data experience allows non-data experts to drive growth in the business by asking the right questions and working cross-functionally with their teams. 📈 Aligning on core metrics and surfacing additional questions can drive product team success. 🏗️ Data fueled product development is driven by product but fueled by data, making heroic efforts more manageable. 🛠️ Feature success involves engineering, product management, and design, making sure that launched features are adopted and delightful to use, while sales success involves customer data and customer-facing teams having visibility into how customers are using the product to make strategic recommendations. 📊 The notifications team's use of clean design data dashboards and clear success metrics before rolling out changes in the product showcases the importance of data-driven decision making in analytics. Empowering teams and driving growth through data insights 📊 Empowering teams to use usage data can lead to pursuing bigger questions and achieving more impactful results. 🔍 Call tricks is more than just a survey company, they are becoming leaders in experience management, helping companies better understand their customers and employees. 📈 Scaling analytics beyond a small team is necessary to develop the domain expertise needed to help all different teams. 📊 Customer facing teams saw increased success after adopting a champions program to evangelize usage data with their teams. 🌟 Live demos can spark inspiration, curiosity, and light bulb moments, making data more engaging and accessible to the team.