My teammate and I created journey maps corresponding to each of the four key features we designed for the user support systems: an FAQ repository, discussion boards, the Impact Concierge chatbot, and the Impact Specialist matching system. My colleague handled the former two features, while I created journey maps and subsequently designed the latter two. The journey maps were insightful in helping to understand what Karim may experience feel while using Impactrio’s platform to design a project for his climate change initiative, and how the user support systems may help to alleviate his pain points. Through the process it became clear how overwhelming and novel the process be to a user like Karim, and how much systems like an effective chatbot or access to specialists, could transform his experience for the better.
This led us to generate the folliowing questions:
HMW help social entrepreneurs with limited business or fundraising acumen, receive expert mentorship to bring their ideas to life, in a welcoming and straightforward manner?
HMW help social entrepreneurs who are facing challenges related to their project design, in a manner that is personalized and timely?
We conducted a competitive analysis to assess existing support services to determine their strengths and weaknesses, as well as the opportunities we discovered for our own designs. My portion of the competitive analysis was focused on chatbot support, as well as consultant matching services. For the chatbot portion Invision was my main reference point, while for consultant matching, I looked at Quickbooks Pro Advisor, Consultport and Fiverr.
For proof of concept I created a clickable Figma prototype using medium fidelity wireframes, to demonstrate how Karim may interact with the Impact Concierge chatbot while working on his project design, and find a suitable Impact Specialist to collaborate with. Our goal was to create user support tools that foster a welcoming and collaborative experience for users such as Karim. The flow simulated in the recording below, shows how the chatbot may serve as the first point of contact that guides him towards the platform's existing support systems, in this example the Impact Specialist system. Once Karim chooses to find an Impact Specialist the chatbot leads him towards a guided questionnaire to receive the best match for his goals and situation. He proceeds to browse the profile of his highest match, as well as take a look at more options. We aimed to provide Karim with a sense of guidance and recommendations in this process to install confidence in what may otherwise be an overwhelming process for him.
Overall my team mate and I were successful in designing support systems that satisfied the company founder, and delivered on the features that we proposed.
While our design decisions were informed by existing research as well as our own process of empathizing with the user, with more time we would have conducted user testing to further validate our work and continue to iterate upon it.
More time could be dedicated to streamlining the platform's navigation systems, to make sure the user support systems are easily reachable while using the platform.
More user research could be done related to consultants, to optimize their experience using the platform.
If you like what you see and want to work together, get in touch!
nmeleika@outlook.com