“Delving into the Drama of Data: The Fascinating Exploits of an Ex-Deloitte Strategist”

Aaron Cannon’s Colorful Adventure

Remember the suspenseful chase scenes in James Bond films? Picture a similar drama, but this time, the protagonist isn’t a suave secret agent but a data strategist. Our hero, Aaron Cannon, once a mastermind at Deloitte, knows all about the thrills and spills of the quest for qualitative user feedback.

From Corporate Crusader to Data Detective

Cannon didn’t just pop by his clients’ for a round of golf and some quality chit-chat. Oh no. He was on a mission, sinking hundreds of precious hours into deep, dark pools of research. His task? To extract tiny nuggets of product feedback that often seemed more elusive than the Holy Grail itself.

Cost and Effort: The Terrible Twins of Traditional Research

Aaron Cannon, guardian of grandiose research projects, quickly began to notice a pattern. Unveiling qualitative user feedback was not just time-consuming, it was also a major drain on the pocket. Even Scrooge McDuck would have been taken aback by the costs.

Hot Take:

So, there you have it, folks, the dangerously thrilling world of deep data probing that even makes a James Bond movie look underwhelming! Here’s a plot twist though – perhaps the next best thing after artificial intelligence isn’t more intelligence. Maybe, it’s learning how to get key qualitative information without having to sell a kidney first. Now that would be a breakthrough worth cinematic celebration!

Original article: https://techcrunch.com/2023/10/26/outset-is-using-gpt-4-to-make-user-surveys-better/