https://www.allisonkaras.com/case-studies daily 1.0 2019-11-23 https://images.squarespace-cdn.com/content/v1/56c667e31d07c0d163f9092c/1522029829156-E4V5UN0S2F7QP8M21EAO/Screen+Shot+2018-03-25+at+6.34.58+PM.png Case Studies https://images.squarespace-cdn.com/content/v1/56c667e31d07c0d163f9092c/1522029911072-NULIKNBK3NJ6QIMAGCLI/AD-analyze-03.jpg Case Studies https://images.squarespace-cdn.com/content/v1/56c667e31d07c0d163f9092c/1562799617330-PMVUIVPC7E1PIQPZ4UIX/DS-Studio-ModelDetail-InsightsbyStatus.png Case Studies https://images.squarespace-cdn.com/content/v1/56c667e31d07c0d163f9092c/1455990896216-ZQXH7S1WCARO6TXI3NFD/GCGLGB2.jpg Case Studies https://images.squarespace-cdn.com/content/v1/56c667e31d07c0d163f9092c/1456080710978-ELFNNG322T83TF4RCFSX/kacare.jpg Case Studies https://images.squarespace-cdn.com/content/v1/56c667e31d07c0d163f9092c/1455991030117-ZPJCGU7YP3OUH8ICA8V8/image-asset.jpeg Case Studies Tom Harris © Hedrich Blessing https://images.squarespace-cdn.com/content/v1/56c667e31d07c0d163f9092c/1455991859642-UXCD4FYA1Q8GC53I40FW/GCGLBG-trafficflow.jpg Case Studies The flow of movement through the space was mapped to understand entry points, tourist traffic, tenant traffic, height restrictions, and optimal viewing points. https://images.squarespace-cdn.com/content/v1/56c667e31d07c0d163f9092c/1455991821398-QEYIB6TE0DEETTWO0XB1/GCGLGB-02.jpg Case Studies Tom Harris © Hedrich Blessing We created a "global classroom" by wrapping CAF's existing truss structure in bold, super graphics printed on tension fabric. https://images.squarespace-cdn.com/content/v1/56c667e31d07c0d163f9092c/1455992128597-7PTZ2P0FZDGMCZIA9UUM/GCGLBG-03.jpg Case Studies Tom Harris © Hedrich Blessing As senior designer, I refined GIS vector data to create super graphics that mapped forests, wetlands, urban areas, and agriculture throughout the watershed. https://images.squarespace-cdn.com/content/v1/56c667e31d07c0d163f9092c/1455992198444-N7517ZSIT4MM1WW8G1CF/GCGLGB-04.jpg Case Studies Data as representation: mapping parts of a whole against average dollars of agricultural commodities. https://images.squarespace-cdn.com/content/v1/56c667e31d07c0d163f9092c/1455992212873-D1JWFWVAHZI5LF3JRZWY/GCGLGB-05.jpg Case Studies Data as representation: charting points above and below the mean, while layering average dollars of agricultural commodities per person in each county. https://images.squarespace-cdn.com/content/v1/56c667e31d07c0d163f9092c/1455992236840-IWHFS3EKQYU05OBFZDPI/GCGLGB-06.jpg Case Studies To incorporate the 3D Chicago city model and the Great Lakes vision, plinths were designed to encourage viewers to consider the relationship between their city and watershed. https://images.squarespace-cdn.com/content/v1/56c667e31d07c0d163f9092c/1455992272315-FTW2DB0RK9UVLG94Y7UA/GCGLGB-07.jpg Case Studies Plinths call out both private and public initiatives surrounding city design, mobility, water, energy, public works, ecology and the River. The plinths call https://images.squarespace-cdn.com/content/v1/56c667e31d07c0d163f9092c/1456080803948-TRUZQ5THXNZZUP00MP0K/KACARE-hero.jpg Case Studies Tom Harris © Hedrich Blessing https://images.squarespace-cdn.com/content/v1/56c667e31d07c0d163f9092c/1456080948329-SATBOYULKU36IZR652I3/kacare-multimedia1.jpg Case Studies https://images.squarespace-cdn.com/content/v1/56c667e31d07c0d163f9092c/1456080985094-VEF46Y7CFK8WSGCWVQN8/kacare-multimedia2.jpg Case Studies https://images.squarespace-cdn.com/content/v1/56c667e31d07c0d163f9092c/1456081021066-TJG5ZYYAOIQYUHO8CQW1/kacare-multimedia3.jpg Case Studies https://images.squarespace-cdn.com/content/v1/56c667e31d07c0d163f9092c/1456080860942-YL6NOPM8TT3GCMRHOTK0/kacare-spread1.jpg Case Studies https://images.squarespace-cdn.com/content/v1/56c667e31d07c0d163f9092c/1456080876269-JT56YR6IJSZ16VGSXP8U/kacare-spread2.jpg Case Studies https://images.squarespace-cdn.com/content/v1/56c667e31d07c0d163f9092c/1456080896829-NYUDPPEHXM6FRW5PB1SP/kacare-spread3.jpg Case Studies https://images.squarespace-cdn.com/content/v1/56c667e31d07c0d163f9092c/1456080915701-WUVBXT6VL950YKZVN3GO/kacare-spread4.jpg Case Studies https://images.squarespace-cdn.com/content/v1/56c667e31d07c0d163f9092c/1522065352619-G62R3JWGR6X3LZMWLY4Z/Data+Ingestion+Work+Flow+12-15+v1.png Case Studies Task flow for data ingestion MVP. For the Asset Perform MVP, users were able to ingest their own telematic data by connecting a Geotab device, or by uploading a CSV file for work order data. https://images.squarespace-cdn.com/content/v1/56c667e31d07c0d163f9092c/1522028314693-BX8CSQ31VXXYA41JWOPH/karas-view-work-order.jpg Case Studies Interactive prototype excerpt of task management: view work order. Built in Axure. https://images.squarespace-cdn.com/content/v1/56c667e31d07c0d163f9092c/1522028331213-G2EIAHSXTDRERK356DAR/karas-edit-work-order.jpg Case Studies Interactive prototype excerpt of task management: edit work order. Built in Axure. https://images.squarespace-cdn.com/content/v1/56c667e31d07c0d163f9092c/1522028399393-EB4YQWBZ06U3OKN5M884/karas-schedule-work-order-3day-view.jpg Case Studies Interactive prototype excerpt of task management: schedule work order. 3-day view. Built in Axure. When designing prototypes it was imperative to ensure data availability and confirm that the data that surfaced in the UI was available. https://images.squarespace-cdn.com/content/v1/56c667e31d07c0d163f9092c/1522028445676-3JWO1PIQHGBJZGZ9BQQD/karas-schedule-work-order-month-view.jpg Case Studies Interactive prototype excerpt of task management: schedule work order. Month view. Built in Axure. https://images.squarespace-cdn.com/content/v1/56c667e31d07c0d163f9092c/1522028543074-IZ3NUNR4NZUAL5QY1BVA/karas-analyze-feature-sketches.png Case Studies Asset Analyze feature sketches during feature and design discovery. I iterated visualizations for a new visual analysis feature in Asset Perform that would help users have a deeper understanding of asset performance and potentially uncover new patterns, relationships or outliers. Clockwise, from top left: 1) waterfall showing breakdown of downtime and utilization within a user-specified timeframe; 2) scatterplot of all assets, plotting availability vs. utilization; 3) plot comparison, clustering "like" assets on the X axis and utilization on the Y; 4) scatterplot using visual variables such as size, color, and texture to add more context to the asset https://images.squarespace-cdn.com/content/v1/56c667e31d07c0d163f9092c/1522024966714-T2VIE8EMIEHBMK9BDC0G/karas-learning-gap-plan.jpg Case Studies A learning gap plan identifies gaps in what we knew about our users; it documents assumptions about users’ motivations, behaviors, and goals, and aligns teams on what has been validated, and what we still needed to validate. https://images.squarespace-cdn.com/content/v1/56c667e31d07c0d163f9092c/1522025184956-1UFU06I1Z7DOY4BB2K3U/karas-customer-journey.png Case Studies Ideal developer experience: This customer journey maps an ideal scenario for the Uptake Developer Portal where a developer discovers, tries, buys, and — in a future state — distributes on a marketplace. While not reflective of a real developer's experience, visual artifacts like this journey map help establish a shared vision for what could be. https://images.squarespace-cdn.com/content/v1/56c667e31d07c0d163f9092c/1522025444660-DD2QZSNQETXHQG3RPR88/karas-developer-portal-user-flow.jpg Case Studies Developer task flow https://images.squarespace-cdn.com/content/v1/56c667e31d07c0d163f9092c/1522025497171-2FAE2WPDA1HR4WTUMSB5/karas-wireframe-homepage.png Case Studies Interactive prototype excerpt of the Developer Portal homepage. Built in Axure. https://images.squarespace-cdn.com/content/v1/56c667e31d07c0d163f9092c/1522025635632-XCUP7FN9W4GWLFVS7YXP/karas-api-documentation-excerpt.png Case Studies Interactive prototype excerpt of the API documentation. This specific iteration of the Developer Portal prototype was tested with internal developers as proxy users to improve documentation usability. In this version, endpoint navigators were separated by type — header, body, query, etc. — so that users could easily find what they were looking for as opposed to surfacing all the parameters in a single grid. Also value types were color-coded to help improve scannability. Built in Axure. https://images.squarespace-cdn.com/content/v1/56c667e31d07c0d163f9092c/1574250543285-WKWPD5HL7B1TID7ZXN2U/IMG_6911.JPG Case Studies We needed to generate consensus on the steps in a data scientist’s model-building workflow. A design workshop revealed those touchpoints and helped the team align on a scope for this tool. https://images.squarespace-cdn.com/content/v1/56c667e31d07c0d163f9092c/1562798234415-5NXWJPUJF89PH23IGOF0/dss-prelim-workflow.png Case Studies https://images.squarespace-cdn.com/content/v1/56c667e31d07c0d163f9092c/1574251460161-5WTHEUHAPOV0T6SRE7I8/dss-taskflow.jpg Case Studies https://images.squarespace-cdn.com/content/v1/56c667e31d07c0d163f9092c/1574251986682-68XPH5DTUXTEI0NW2AP4/guided-workflow.jpg Case Studies https://images.squarespace-cdn.com/content/v1/56c667e31d07c0d163f9092c/1574252355423-XJGW1H2MRE9CNW8VZP66/wireflows.jpg Case Studies https://images.squarespace-cdn.com/content/v1/56c667e31d07c0d163f9092c/1562861882705-XQHZJ9E3J079VM33VH5F/learning-gap-plan-advanced-data-scientist.png Case Studies Learning Gap Plan: Advanced Data Scientist. This is an example of a learning gap plan for one of the user types of the Enterprise AI and Data Science Studio. A learning gap plan documents our assumptions about the user so that the team is aligned on what we know for sure about our user, and where we are making stretch assumptions. Areas marked “need to validate” are those where we can focus our user research efforts first. https://images.squarespace-cdn.com/content/v1/56c667e31d07c0d163f9092c/1574391391445-CKTZ4PY4XRBODAPNUQ2D/prototype-02.jpg Case Studies Screenshot from interactive prototype: adding a reading (one data source) to a model https://images.squarespace-cdn.com/content/v1/56c667e31d07c0d163f9092c/1574391608802-TM2LB4PV9K3N9UIFANML/view_data_source_reading.png Case Studies Screenshot from interactive prototype: adding multiple data sources to a model https://www.allisonkaras.com/contact daily 0.75 2026-03-25