Count

🔀 Onboarding Conversion Funnel Most companies map out their onboarding funnels spatially in Figma and then report the data separately in grids of numbers and charts. But what if you could combine these elements, placing the numbers directly into their proper context? Here’s what that could unlock: 👉 Clearer alignment and a shared understanding of the current state. 👉 Faster identification of the most pressing challenges. 👉 More targeted and effective problem-solving. Imagine shifting the conversation from “We need to fix onboarding!” to “We need to improve this specific step for this subset of users.” We call this operational clarity. And it can unlock a whole new way of working for data teams. Check out the comments to explore this example, or to learn more about operational clarity 👇

🧠 Some of our favorite bits of wisdom from yesterday's session, Breaking Free of the Service Trap, with Emily L. (MoonPay), Callum Ballard (Omaze), and our own Oliver Hughes 🙌 💡 The conversation explored: - Why falling into a service-function mindset holds data teams back. - Practical strategies Emily and Callum and their teams use to escape that cycle. - What it truly looks like when a data team drives direct business impact. If you missed the session, don’t worry—catch the replay via the link in the comments!

🔄 The Virtuous Cycle When data teams can combine the 4 tenets of high-performing data teams the results can spiral into a flywheel of growth. The cycle is defined by three loops: 1️⃣ More clarity → More problem solving. 2️⃣ More clarity → Faster decision-making. 3️⃣ Faster decision → Better measurement of impact. To read more about the virtuous cycle, and how our customers are bringing into their organizations, check out Oliver Hughes's latest blog post. Link in the comments!

🌳 What’s better than a metric tree? A metric tree with scenario testing 🎛️ With this powerful combination, you can: ✅ Diagnose problems faster than ever ✅ Instantly see the ripple effect of focusing on one metric over another ✅ Get cross-function alignment on key decisions quickly Check out the link in the comments to explore it for yourself!

🚀 We promise—you’ve never seen a BI tool like ours.

📊 Break Free of the Data Service Trap Are you drowning in dashboard requests, trapped in a transactional relationship with the business, and feeling like your most impactful work is just closing tickets quickly? You might be stuck in the service trap. Next week, join a powerhouse panel as they share their experiences with the service trap, and how they broke free of it: Emily L., Director of Data at MoonPay Callum Ballard, Analytics Director at Omaze Oliver Hughes, Co-Founder & CEO at Count They'll dive into: ✅ The root causes of the service trap and its impact on your team ✅ Practical strategies to shift from a support to a strategic mindset ✅ How the right tools and processes can facilitate this transformation Reserve your spot using the link in the comments 👇 See you there!

Per a recent HBR survey, 59.5% of executives reported that their companies were driving innovation with data, compared with 59.5% four years ago. That’s zero change in four years. In that time, we’ve seen teams radically change their data stacks, invest in their teams, growing pipelines and infrastructure, and this survey suggests the impact of all of that has been zero. What's really going on here? Join us on 11 Dec to explore what's ailing our data teams, and what we can do about it. Link to register in the comments 👇

The Service Trap The service trap is a pattern of behaviours, that in isolation are damaging to data teams, but together combine into a negative feedback loop that is very difficult to break free of. These four forces are: 1️⃣ Drowning the business with information 2️⃣ Answering every question the business asks 3️⃣ Minimising time with stakeholders 4️⃣ Optimising things the business can't see When caught in this loop, data teams become “dashboard factories,” valued only for accuracy and speed. Their interactions with the business become transactional and strained. And most importantly, their contributions to broader company goals are invisible, and their impact on business growth goes unrecognised. To read more about the service trap, check out this week's blog post linked in the comments 👇

👀 2014 or 2024? A decade has passed, and yet many of the core challenges facing data teams remain stubbornly the same. Despite the explosion of modern data tools, the improvements have largely focused on the backend. But what about the way data teams engage with the business? BI tools have locked data teams into a reactive role: 👉 Building dashboards no one looks at 👉 Drowning in ad-hoc requests 👉 Struggling to prove impact on business growth Sound familiar? The real opportunity is to transform data teams from support functions into strategic business partners—teams that drive insights, influence decisions, and contribute directly to growth. 🔗 Check out Oliver Hughes’ latest post for a fresh perspective. Link in the comments 👇

💡 "When you create value, you get a voice." This might be the most powerful thing we heard last week. Daniel Redgate (Too Good To Go) dropped this gem during his masterclass on elevating data teams beyond the service desk. What stood out: - How being obsessed with value actually builds trust - Why communication is just as crucial as technical skills - Practical ways to help analysts find their voice with stakeholders - The mindset shift from "support" to "strategic partner" Love seeing this dialogue about transforming data teams. 🎬 Miss the live session? Catch the full replay here: https://lnkd.in/ebAmByqE