![]() Redash expands on many of the features offered by Metabase, which makes it more powerful in many ways, but is also slightly more complicated to use. Redash is the slightly more technical cousin of Metabase. However, this simplicity comes at the cost of fewer data integration and visualization options than other platforms. We recommend Metabase for startups with less-technical teams due to its simplicity and data-exploration and query-building capabilities. However, Metabase lacks some more ‘niche’ features that some organizations may not be able to live without, such as certain chart types or the ability to query across multiple databases. Not only are these features exceptionally easy to use, but they also display content very clearly. These features include a data explorer, UI-based query builders, goal tracking and alerts, and even query parameterization that allows users to select a value from a drop-down to update a chart. Metabase is one of the most frequently recommended data visualization tools due its simplicity and wide range of features. We recommend either Metabase or Redash because they are both free, open source, can be hosted in your existing infrastructure, and doesn’t charge per-seat making data transparency across your entire organization trivial. Toolingīefore you can create your first visualization or dashboard, you will need to select a business intelligence tool. However, once informed by the dashboard, you can have much more confidence when investing in these tools knowing specifically what answers you hope to get out of them. ![]() You could ask questions such as: How far do users make it towards activation after they sign up? Is there a particular step that most users get stuck on? Is the problematic step due to required information that customers are unwilling or unable to provide? Or could the drop-off be attributed to a bug or error in the application?Īnswering these questions may involve introducing other tools and techniques such as adding google analytics and/or performing customer interviews. By seeing this in the charts, you now know what questions to ask and to focus your energy on improving your product. This information will be pretty generalized, but will be sufficient enough for you to know where to ask questions and dig deeper.įor example, maybe you see you have tons of acquisitions (sign ups), but very few activations (orders placed). For starters, this dashboard will provide critical information about your product performance. For this reason, it is vitally important to build and track pirate metrics in the order of the customer journey: Acquisition, Activation, Retention, Referral, and Revenueīefore diving into the details of exactly which charts you should have to demonstrate these metrics, I’d like to briefly outline what you should expect from a Pirate Metrics Dashboard. ![]() Additionally, if any users drop-off at a previous step means there are less users who could possibly make it to the next step. Being a funnel, each milestone a user reaches feeds into the next step. And they can’t stick around becoming retained seeing the value you provide additional times, before they initially become activated the first time. In other words, they won’t be able to see the value of your product and become activated before they create an account and become acquired. Because the pirate metrics describe a the user journey funnel, this means that in the majority of circumstances, users will experience your product in the order outlined above. This means it can show you how users are interacting with your product. If you are new to the Pirate Metrics, the most important thing to know is that this framework tracks your users journey. ![]() I’d like to propose an alternative solution that is typically much less effort and yields more useful insights for companies beginning their data journey: Use your production database to visualize the five Pirate Metrics: Acquisition, Activation, Retention, Referral, and Revenue. ![]() There are many different ways of achieving this goal, but which is the most effective? Do you simply install Google analytics or Mixpanel into your mobile app and call it a day? Or do you build into your platform the ability to capture every single data point that might be possibly be useful in the future? Congratulations! Now that you are gathering data from your customers, the next step is to turn it into useful insights to guide future decision making. You’ve launched your product and have your first few users. ![]()
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