September 2022 - October 2022
The lifecycle of Robots are complex. To build robots Robots are complex. Successful robots are build with the coordination of various teams distributed across sales, marketing, software and hardware. This is complex. Where are the bottlenecks? How can we solve it?
For this project I take the role of a "Researcher as an Engineer" and take part in the daily activities of the startup. Using UX research methods such of Ethnography, User Interviews, and Co-Design, I identify core problems and develop an prototype application covering various corners of the problems.
We identified 5 major stakeholders that influence the lifecycle of a Robot.
The project is generative in nature, hence we use the following research methods
As part of the ethnographic step I took the role as a "Researcher as an Engineer". I leveraged my engineering skills to seamlessly fit into different teams across the firm. I took part in the daily team activities of both the software, hardware and deployment teams. While working I carried out conversations with the employees to understand where employees had problems. Some of the problems Identified were:
To understand the perspective of leadership I conducted stakeholder interviews. I did 1:1 interviews to understand if they are aware of problems, faced by teams and robots. My questions were open ended and aimed to understand leaderships understanding of robot performance, customer insights and how teams are communicating between themselves. We identified the following:
In this research activity we borrow a popular UI technique called Quick 8s (we were working with CEOs and busy employees hence stuck to quick 4s). We present users with 4 blank phone screens and ask them to sketch 4 screens that would help them in their work. There is no right or wrong screen. Through this activity we were interested to know the most pressing problem and see an employees perspective towards solving the problem.
Illustrations from the co-design activitiesFrom the co-design activities we draw the following interpretations:
In this project I was consulted for conducting research and understand bottlenecks in their production pipelines. Supporting their design process post the insights I generated, I designed some prototypes shown below: