Case study migrated from the previous portfolio.
A homepage to support staffing operations’ day-to-do activities.
Introduction
Staffing operation users need to handle many different tasks throughout their days. Their primary goal is to make sure workers how up and meet or exceed the expectations of their clients. There are many activities that are necessary to support this successfully.
Proposed Solution
A new homepage focused on answering the question “What do I need to do to make today successful?”. The goal of the solution was to provide visibility to what issues needed attention while giving quick access to small actions or easy navigation to the appropriate features.
Outcome
- Increased customer satisfaction
- Created a customer review process for visibility of product development progress
- Fastest adoption of redesigned operations software
Highlights
- First project with a prospective client and multiple contextual inquiries to uncover the problem space, which heavily influenced that quick prioritization and roadmap shuffle.
- Start of a new web design system and technical update of the operations web app codebase.
Process
Discovery Phase
Conducted on-site contextual inquiries with multiple staffing operations users of a prospective customer and internal operational uses. I created an agenda to cover key aspects of their workflow but let them lead the session. I shadowed the prospective customer users for two full days while the internal operation users were shadowed for 1 hours sessions.
Definition Phase
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Don’t know what the most pressing thing is.
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Lack of visibility of what’s happening in real-time.
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Exploration Phase
Explored multiple information architecture approaches, interaction models for filters, and data visualizations.
Decision Phase
Ran two rounds of usability test with iterations in between.
Round 1
Round 2
Stakeholder Review
Reviewed work with customers during weekly meetings to get feedback and demonstrate progress.
Delivery Phase
Lessons
- Make data actionable. While the data summary was a highly valued section of the page, it went against our principles of making an actionable page because it was only informational. Post-release we received a lot of support tickets requesting the ability to filter by the data points.
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