Due to legal regulations, security issues, and personal know-how, our customers (agents and brokers) were reluctant to reveal their needs or intentions. Instead of interviewing people, we went online and gathered a wealth of customer reviews and analytics data.
We started with a landscape and defined industry forces, trends, and opportunities. We researched competitors’ applications and online reviews. We sifted through internal reviews online and evaluated how the company works from the inside. Based on that, we built customer profiles, defined value propositions, and outlined business models.
We discovered different types of customers within the targeted group who had different needs and demands.
We proposed different values for each group and strategies for customer acquisition.
We designed and started real-time experiments to prove or reject our assumptions.
Data mining and online research
Mobile Quoting App
Real Estate Application
Electronic Data Interchange
Small Business Lead Generator
Health Insurance Quotes