outside the box.
Google analytics tests how people react on websites. But there's no tool that test out how people feel when they browse on sites.
I learn about the commercial needs of tracking site visitors emotions. I explore the neuro-tracking tools available in the industry.
One of those neuro-tracking tools, had the best "signal filtering" that showed the "high & low" signals, we (the team) needed to record.
After recording live users reactions, I designed a dashboard for the business needs (the research agency) and also calculate the commercial costs for selling this B2B SaaS service.
VC get thousands pitch decks a year but invest in no more than 10. Startups go to hundreds of investors meetings but only get 10 investments... If they're lucky. Why not let AI do the matching - align to VC and Startups needs.
I learned about IBM Watson smart tools and found the one that fit to the task: Aggregating data (using Crunchbase API) and then show the most startups that align to VC specific needs: For example, VC that want to invest in iOt in Japan, while doing the opposite, startups that are searching to find Japanese investors that invest in iOt startups.
I made a dashboard that both users, VC & Startups, select their needs and can filter (using sliders) to see results in a simple visual way - to explore their opportunities, in the best way possible.
Medical costs are very high for both patients & hospitals. We (the team) tried to find a way that tech can make costs cheaper while upgrading the CX for both sides.
Learning about cast production costs, Adobe "3D printing" opportunities & the HP sprout (a digital kiosk) possibilities of scanning objects in 3D.
We combined all those insights into "medical kiosks" that patients who had their hand/leg finger broken, can scan their fingers and a 3D printer will print a bespoke cast, tailor-made to their personal measurements.
We Won AngelHack Silicon Valley. Twice: We got 2 top prizes from HP & Adobe, because we've used their API technology.