The UI is simple and allows for me search for what actions the customer performed so that I can easily reproduce a bug report if necessary. Review collected by and hosted on G2.com.

Learning curve is a bit high if you are not familiar with how to search for data,

If you are new to the support industry w/o much technical background, you may have a hard time, but after you learn the basics, it's probably one of the strongest tools to have in your repertoire. Review collected by and hosted on G2.com.

Interana is *very* fast compared to other BI platforms. It's ideal for event-based data philosophies, where it can chew through billions of raw events in only a few seconds. Its UX is straightforward enough that non-technical users can easily answer relatively complicated questions that would require heavy SQL on other platforms Review collected by and hosted on G2.com.

Interana has some limitations. Metrics, cohorts, and funnels are created as per-actor properties, only able to be calculated on your dataset's shard keys. For most implementations, this would be some form of user ID, meaning that most metrics can only be built per-user basis. This does cover most questions, but you wouldn't be able to, for example, build a funnel to follow a given transaction ID from start to finish.

The UI/UX sits in a peculiar gray area where it requires some training and knowledge to use, but is not designed for true powerusers. As an example, the API is usually more difficult than making HTTP requests and scraping results. Review collected by and hosted on G2.com.