Streetspotr is a smartphone app that builds mobile workforce. The German startup from Nuremberg created a fast, easy, and cost efficient way for businesses to collect data and insights from anywhere, at any time and on any scale using mobile crowdsourcing.
The startup has already more than 220 thousand “Streetspotrs”, people that use the app to earn money doing seriously small tasks using their smartphone. Clients like Red Bull, Microsoft and Sony also employ this mobile workforce. In today’s interview with Dorothea Utzt, co-founder and CMO of Streetspotr, we talk about the trajectory of their company and their expectations of presenting themselves at CODE_n and CeBIT.
What was the inspiration for creating Streetspotr?
Actually, there has been more than one inspiration. Firstly, we came from the App development business and have known each other for years, working together on many projects at different companies (e.g. miCal- the missing calendar). We always wanted to do something “bigger” than the next customer project or simply the next App. As techies, it is no wonder that all of us founders have owned their first iPhone in 2007 when it came out. We played around with them all the time and spend hours and hours checking our emails or Facebook. That was the time when we first thought “How nice would it be if one could do something really meaningful in waiting times with a phone that´s so smart?” When BMW approached us in 2011 asking if we could map parking garages (opening hours, floors etc.) all over the country for them, the idea of Streetspotr was finally born.
Streetspotr connects Big Data and crowdsourcing. How does the app work?
Our premise is collecting data and insights for businesses via a smartphone workforce. Due to the size and scope of our workforce (230.000+ people), we enable them to collect exactly the data they need. That´s our way of “scanning” the mass of data that can be found everywhere, even on the streets and in shops (addresses, opening hours, menus, product placements). You can say that we take a step further than other Big Data companies: Instead of analyzing a mass of data that has no structure and is hard to define, we make it possible to skip that step and simply collect the right data for our customers instantly – anytime, anywhere and on any scale.