Sky Vision - sales tool
THE PRODUCT AND SERVICE
The relationship between the salesperson and a potential buyer is built up over time. The salesperson learns what their buyers tastes and needs are, and over time they will know what their buyers want before they know themselves. With a new stream of data and analytics being provided to the sales team, we designed a tool that allowed them to get greater insight into what their buyers were showing interest in. So when they picked up the phone or headed to a meeting, they knew what their buyers needs / interests were before the buyer could even tell them.
// Final design of the complete data analytics tool for the Sky Vision Sales team. //
THE VALUABLE DATA
Whilst designing the new catalogue experience new features were introduced for buyers to discover and keep up to date with the latest content. New features such as following a show or creating playlists gave greater insight into buyers interests. It wasn't just enough to 'view a page' to deem that a buyer was interested in the content.
// Wireframe design of data breakdown module. //
We defined the key interactions a buyer could have with a show that made it clear an interest had been shown towards a show. It also gave an indication of how active and interested a buyer was in Sky Vision and its content. The sales team could start to learn from a buyers viewing and activity behaviours and judge when the best time to make contact with a particular buyer would be.
It wasn't just enough to show how active a buyer was being by liking programmes and adding them to playlists, but how much content were they actually watching?
// Wireframe design of content played by a buyer list, depicting the asset name, number of times the asset has been viewed and the duration of the last time it was watched and when. //
Talking with the head of sales at Sky Vision was invaluable in understanding what was the best way to provide data to the team. Seeing how much content of a particular programme a buyer had watched helps provide a sales team member further insight into the interest a buyer is showing for a programme.
PRESENTING THE DATA
It was important to create a dashboard that provided a quick and easy learning curve to become a tool that was used daily by the sales team.
We designed a layout that provided consistency through all sections of the dashboard when viewing data. Regardless if a user was looking at the overall activity of buyers and programmes, or looking at a specific buyers or programme profile the structure and presentation of the data was consistent throughout. This allowed buyers to quickly learn where to look for specific types of information or data.
// Wireframe designs of all the core templates of the analytics tool. It became clear throughout the concepts that a standard view was needed to keep the tool easy to learn and navigate. //
We experimented with various ways to display large amounts of data to the sales team that allowed them to scan and make sense of it all quickly.
// Various forms of presenting data were experimented with. When testing the different concepts with the Sales team (the users of this tool) it was found that too much data would actually hinder the way they would work. //
The end result was kept to a clear visual line graph, that provided pockets of detailed insight into specific time stamps. The user could select an area on the graph and be shown a breakdown of key data points for that time & date.
// Final wireframe design using a single stream of data to allow for quick glance of the key data for a sales person. //
Using a clear consistent way of presenting the data, it provided the opportunity to introduce the ability of comparing sets of data together, such as the performance of multiple programmes in a visual format. This allows the team to quickly compare various different programmes against one another, and see where the strengths and weaknesses are.
// Wireframe design of selecting 3 programmes to compare: one area that sales teams wanted the ability to compare data was for comparing programmes activity with buyers. //
// Wireframe design of 3 data streams comparing the activity of 3 programmes. //