The best apps you make are ones that solve big issues you yourself face.
Bring on the Text Mafia
Analyzing transcripts is a long painful process. One of the ways you can analyze a script involves the process of scanning through the text looking for specific words, keywords, product words, stimulus and emotional words. Researchers typically look for frequency patterns. Our partners at Lextant know the pain of this process far to well. But Lextant does try and use precise methodologies that make their scripts easier to analyze than most- however the labor and time is still there. Imagine yourself reading through a 3 hour transcript and trying to find that needle in a haystack of a word or concept your interested in, its seriously not fun!
Just zooming to find text is easy, training the comptuer to pull the right text for your needs, that sounds like a bit of content analysis, and that’s where Big Kitty Labs comes in. BORIS not only reads transcripts, its looks for specific markers based on frequency and unique IDS that Lextant embeds in their scripts to help ya extract the big idea faster.
All Your Text ARE Belong to Us
Before BORIS, Lextant previously used another tool to try and analyze large volumes of text. This tool took a 3 hour transcript and turned it into 1.5 human hours task endurance fest. This isn’t too bad for one script. Now lets say you had 20 scripts. Now that same human is spending 30 hours or roughly 3+ days to do that same analysis. Ugh, that sucks.
Let’s do this better!
BORIS on the other hand with its sophisticated auto-extraction methods can chew thru 20, 3 hour scripts in a few minutes, auto extracting, formatting and prepping that same information in a way that saves the human TONS of hours. A researcher isn’t replaced mind you, they’re till running the show, but the endurance time drops from 30 hrs to 3 or so. Thats a serious saving of time and money.
That’s a significant speed increase, which equals more sanity, better margins on the work and less downtime. Lextant loved it, and has acquired it for their research tools division. We definitely love making tools like this, transforming big painful jobs into manageable ones.