Real-time Data

LinkedIn is becoming a huge player in the business world - executives, entrepreneurs but also employees and workers give insights into their day-to-day tasks and learnings. In the last couple of years, LinkedIn has evolved into one of the top platforms in the world. Its significance in the professional landscape has grown immensely, making it a crucial tool for networking, job searching, and industry insights.

The platform offers some insights and analysis to the posts users make on the platform. You can see how many impressions you got and what positions people have who look at your postings. Understanding who views your posts and what roles they occupy can help tailor future content to better reach target audiences and enhance professional visibility.

But how can you compare yourself to others? Are you performing well? This question is central to many users who seek to understand their standing within their industry or network. Comparing performance metrics can provide insights into one’s influence and effectiveness on the platform, helping to identify areas for improvement and strategies for growth. However, LinkedIn’s existing analytics, while useful, do not offer a straightforward way to benchmark oneself against peers comprehensively.

This is what the biggest challenge for whoranks was - to transform all the data we can gather from LinkedIn, interpret those data points correctly in order to maintain a real-time LinkedIn ranking. We had to dive deep into the algorithm of LinkedIn to understand how it’s working and to be able to set up a proper list. Our goal was to create a tool that not only aggregated and analyzed LinkedIn data but also provided meaningful and actionable insights.

We embarked on a meticulous process of data collection and analysis, employing sophisticated algorithms to parse through vast amounts of information. By examining patterns and trends, we aimed to develop a ranking system that accurately reflected user performance and influence.

Furthermore, we faced the challenge of making these insights accessible and easy to understand. It was not enough to simply present the data; we needed to ensure that users could easily interpret their rankings and understand the factors contributing to their scores.

Easy-to-Understand Ranking

How can you offer an understandable ranking of all those data-points collected? This was our main question and the objective we aimed for. Building an intuitive and well-thought-out experience for our users was key, since they will get back every day to see what has changed in the ranking, it shouldn’t be hard for them to do so. This is why a user-centered approach and steady feedback collection was inevitable in order to reach market fit quickly.

The challenge of presenting a comprehensible ranking of numerous data points required a multifaceted strategy. We needed to ensure that our system was not only accurate but also user-friendly, allowing users to effortlessly interpret and interact with the data. To achieve this, we embarked on a journey to create an interface that prioritized clarity and simplicity, ensuring that even the most complex information was accessible at a glance.

Understanding the diverse needs of our user base was crucial. We conducted extensive user research to identify pain points and preferences, ensuring that our design catered to both novice users and data-savvy individuals. Regular usability testing sessions allowed us to gather invaluable insights and iterate on our designs, refining the user experience to make it as seamless as possible.

In conclusion, offering an understandable ranking of collected data points involved a comprehensive, user-centered approach. By focusing on intuitive design, continuous feedback collection, and user engagement, we strived to create a platform that was both functional and delightful to use, ensuring that users could easily track changes and stay informed with minimal effort.