Situation
CellMark Recycling, a paper recycling company, approached UC-Irvine’s MHCID program looking for a solution to help them reduce the time it took to intake and categorize new inventory. I worked with a small team to help CellMark reach their goals from March 2019 to September 2019. The team created and carried out a holistic UX research plan and analyzed the results, leading to numerous recommendations for process improvement.
Outcome: Our solutions helped to increase revenue by reducing the time it took to process a new shipment of paper and led to a reduction in the number of errors that occurred during the categorization process.
For a more in-depth look, see the complete capstone book here.
Goals
To optimize the paper receiving process at CellMark’s warehouse and to reduce not only intake time but also errors.
Deliverables
UX Research Project Proposal
UX Research Report
Research Analysis and Recommendations Report
Capstone Book encompassing the entire process
Tools
Miro
Keynote
Adobe InDesign
Slack
Phase 1 - Understanding
Mar 2019 - Apr 2019
In order to contextualize the problem and understand the nuances behind grading and categorizing paper, I became the team’s subject matter expert on the paper industry. I conducted research online as well as meeting over video with some of CellMark’s verifiers, who were responsible with the paper grading and classifying at the warehouse.
During this time, the team also planned a research trip to the CellMark warehouse and decided on the different types of UX research methodology that would be employed on the trip. These plans were then finalized and compiled into a formal research project proposal for the client.
Results
Formal research project proposal, submitted to and approved by management at CellMark Recycling.
Phase 2 - Research
May 2020
The team flew to CellMark’s warehouse in South Carolina to carry out the UX research plan. During the three days, each of us on the team completed ethnographic observations and conducted contextual inquiries with different members of the warehouse staff.
At night, the team gathered together and shared experiences and findings that resulted from that day. These discussions were recorded and later used in the analysis phase of the project to determine where breakdowns were occurring in the processes at the warehouse.
Results
Onsite ethnographic observations conducted along with contextual inquiries to determine breakdowns in the intake processes at the CellMark warehouse.
Phase 3 - Analysis
June 2020 - July 2020
In order to analyze the expansive amount of data gathered during research, the team agreed to several analysis methods. The team used sequence models, physical models, collaboration models, and artifact analysis to interrogate the data.
Once the models were completed, the team collaborated using Miro to determine what were the most impactful findings from the research were, resulting in four key findings. These four dynamics not only helped to investigate the data, but also provided a framework for the team to use in developing and analyzing the key insights that resulted from the research.
Results
The four key findings, along with the research methodologies, models, and artifact analysis were compiled into a comprehensive research report which was presented to CellMark management.
Phase 4 - Recommendations
Aug 2020 - Sep 2020
After the four key findings were identified, the team set to work to create solutions for these issues that were impacting the efficiency of the warehouse processes. Using affinity diagrams, the team organized our ideas and looked for common themes and categories.
Then, a prioritization matrix was used to determine which of these were the most crucial and most readily solvable issues. This led to nine recommendations for improving the intake and categorization processes at the CellMark warehouse. These nine recommendations were articulated in a findings report, which was presented not only to CellMark’s management, but also the the workers at the warehouse. The workers felt so strongly about the potential success of the recommendations that they immediately implemented several.
Ultimately, the findings and recommendations resulted in a decrease in the time of the intake process by approximately 20% and a reduction of errors in the grading and classification of the paper by about 10%.
Results
Nine recommendations for improvement in the intake and categorization processes at CellMark’s warehouse in a formal report. When implemented, these recommendations decreased intake time by 20% and amount of errors during the grading process by approzimately 10%.