UnitQ, a Burlingame, California based company that uses data to determine product bugs and improve functionality, has raised $30 million in a Series B funding round led by Accel. According to co-founder and CEO Christian Wiklund, UnitQ uses data analysis combined with machine learning technology to track every aspect of product quality. Simply put, it helps companies determine what specifically impacts their product quality at any given time.
The goal of the SaaS company's product is to allow engineers, support and operational teams as well as product managers identify and fix any issues that might be impacting customer satisfaction and retention.
UnitQ says it gathers actionable insights from a variety of sources. It pulls user feedback and more through its own API, which connects to 26 different platforms including social media apps like Twitter or Facebook reviews as well as support tickets and chat messages on customer service sites such as Zendesk, SurveyMonkey etc.
CEO Wiklund told TechCrunch that not only does the company want to help customers build a quality product, but they actually believe it will also have positive long-term effects on their business.