Lyft, a Study and Social Integration
We should all know what Lyft is and what is offers, but for the less informed here’s a brief run-down. Lyft allows users to request a ride in minutes. Several ride options are offered, including pooling rides with other passengers at a lower cost.
Social media and the “sharing economy” have blurred the social boundaries that exist on taxis. In a Lyft, riders know their drivers name and s/he knows theirs. Names are often exchanged as confirmations of correct driver.
How might ideate, buildout and test an integration that abides by Lyft’s branding and identity while also keeping in mind many of the safety and privacy concerns involved in sharing more information with supposed strangers?
Before any assumptions were made, or any grand scheme for which to build on, my team and I (Brittany Nichols & Naomi Krenitsyn) began our journey in the way of extensive user interviews.
With a well developed screener survey and set of interview questions we conducted eight in-depth interviews with participants between the ages of 20 to 37, as well as two additional interviews with Lyft drivers. With that out of the way, we were on to draw some insights from our hours of transcribed and picked over interviews.
From all of our data, major trends were beginning to emerge and the first iteration of our Lyft buildout was beginning to take shape.
After some arduous and contentious design studios (I’m not pointing any fingers) and diligent use of the MoSCoW method, we developed a plan of action from which to build out the first, worst version of our prototype. With the color/design standards already in place thanks to our supreme overlords at Lyft, all there was to do was to assign tasks and get our prototype up and running to test.
Ok, so here there should be final wireframes and annotations but the sketch files are underway so please sit back and relax and return shortly for those and the conclusion to our story, thank you!