Consider how long it takes the average user to find what they are looking for with a basic online search. From the moment they enter their search query to the time they select a result and move forward with their decision, it’s likely that they have spent a significant amount of time comparing search results, clicking back and forth between multiple screens, and making an effort to drill down to find what they need.

In many cases, they find other information of relevance and are then off on a secondary search exploring a related topic or something else that caught their eye. Add a few ads that stream across the screen or along the sidebar to the experience and the user may have drifted far off course.

Kazark enables users to become more efficient with search by changing the way users interact with the data itself and delivering a multidimensional search result that captures key information relevant to the user from a single search.

A search for a movie, for example, would not only bring up the actual movie and purchasing opportunity, but also a list of cast members, the latest reviews and ratings, press mentions, and other movies that the user might be interested in based on their affinity to this particular movie.

All of those results are delivered in a user-friendly format — no more text listings — so the user can enjoy a more complete view of the movie, its history, trailers, clips, and other relevant information, without any interruptions along their search path.

Since the Kazark platform is built upon data manipulation – breaking up silos of data so that data points can be used to produce a variety of search results – it adds an entirely new dimension to the final search results, delivering an invaluable user experience.

But why is this so important? What if a user simply wants a basic result from their query? 
The answer comes down to: Information overload.

Even a very basic search on Google yields thousands, sometimes millions of search results based on what Google’s algorithms deem as “relevant.” Relevancy is in the eye of the beholder – or user, in this case – since it’s up to the user to dig through several pages of results and possibly take notes on their findings before they arrive at a satisfactory page or find the snippet of information they were looking for.

Users have to perform mental acrobatics to find things on the web – search hacks, copy and pasting items, opening new tabs — which wastes a lot of time and translates to many missed sales opportunities.