We wanted to discover and define who the personas are in the system
We used the quantitative research methods (interviews) to help us identify and prove or disprove our assumptions, find commonalities across our target audiences (focus group A,B,C) and recognise their needs, goals and mental models.
This research process focuses on understanding user behaviors, needs and motivations through observation techniques, task analysis and other feedback methodologies. For the qualitative research, we aim to use the survey tool using Qualitrics to get an insight of the R&D from the internal staff perspective.
The research process involved a variety of activities including face-to-face interviews with existing & new clients, taking internal surveys using Qualitrics. Initially we conducted CX research and then sent out the surveys for the internal staff research in the second phase.
We synthesised each research by grouping and categorising the concepts for an affinity map to find the patterns & key observations to guide the rest of their process (creating personas & validating assumptions) Then we compared the results on both sides and provided final solutions for the partners in the R&D business.
We sorted the large amount of data into 3 categories - large, medium, small clients (Total 18 clients participated)
Collaborated with SME, Partners, BA, and Scrum Master for the purpose of the research
We created 10 questions to be answered anonymously. We focused on these key topics in the broader context. Total 30 responses came through
There is no one solution in the market that we know of that is providing everything that our clients want. We have an opportunity here
Small business clients have to fill in more than one role due to lack of dedicated resources at times. For larger organisations individual roles and responsibilities are well defined and well structured.
Large & Small mediums. They have off the shell technologies – Github, Trello, Jira
Duplication of effort
Staff has experienced and identified the pain points and ongoing issues when delivering R&D claims for the clients. The most critical delivery issues were in the process of using R&D Edge system and its workflow and the client interaction for contemporaneous R&D record keeping.
Less productivity and inefficiency of using current R&D delivery model and ongoing engagement with the clients for R&D claim process
Better quality of client data, better education portal for clients, integration capability with the client systems, reduce the manual process of working by improving the templates and tools